{ "count" : 12915, "data" : [ { "id" : "6a26123774d8ee00a01f498f", "title" : "Principal Scientist – Protein Formulation & Biophysical Characterization (High-Concentration Biologics)", "company" : "Pfizer", "industry" : "Biologics", "salary" : { "min" : 106000.0, "max" : 106000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "United States of America", "locations" : [ "United States of America" ], "timestamp" : "2026-06-12T19:16:32.422", "fingerprint" : "37ffa32522da92f94516fd1b0781e9851c4861b202f4bcfa153ed0e3187d4ed4", "source" : "workday", "language" : "en", "applyUrl" : "https://pfizer.wd1.myworkdayjobs.com/PfizerCareers/job/United-States---Massachusetts---Andover/Principal-Scientist---Protein-Formulation---Biophysical-Characterization--High-Concentration-Biologics-_4956789-2", "externalId" : "4956789", "industryFunction" : { }, "locationPoint" : "51.43667,5.97917", "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Protein formulation, Biologics, Molecular modeling, Machine learning, AI, QSPR modeling", "professionalSkills" : [ "Formulation science", "Biophysical characterization", "Drug product development", "Scientific leadership", "External scientific engagement", "Regulatory documentation" ], "hardSkillsList" : [ "Protein formulation", "Biophysical characterization", "Physicochemical characterization", "Data analysis", "Data interpretation", "Subcutaneous drug delivery" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Protein formulation", "level" : "intermediate" }, { "name" : "Biophysical characterization", "level" : "intermediate" }, { "name" : "Physicochemical characterization", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Subcutaneous drug delivery", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Protein formulation, Biophysical characterization, High-concentration biologics", "majorSkillsList" : [ "Protein formulation", "Biophysical characterization", "High-concentration biologics" ], "coreResponsibilities" : "Design and execute experimental studies to develop and, Apply biophysical and physicochemical characterization to assess and, Analyze data, generate clear insights, and communicate findings, Develop and advance novel formulation strategies and enabling, Build scalable approaches such as experimental workflows, screening, Collaborate with cross-functional teams to implement and integrate, Build collaborations with academic and industry partners, Contribute to external scientific visibility through publications, Contribute to external scientific visibility through conference presentations, Contribute to external scientific visibility through participation in, Collaborate with the internal Device Center of Excellence, Serve as a liaison and technical subject matter, Provide formulation expertise to project teams, Support key development decisions, Contribute scientific input to regulatory documentation, Lead a cross-functional group focused on subcutaneous delivery, Align with key stakeholders, Devise and implement strategies to advance the biologics, Lead focused technical initiatives or platform", "teamCollaboration" : "Cross-functional teams; Cross-functional group; Internal Device Center of Excellence; Project teams", "domainKnowledge" : "High-concentration biologics; Parenteral biologics; Biologics formulation; Biophysics; Drug product development; Parenteral dosage forms; Subcutaneous drug delivery; Protein design; Structure-function relationship; Elevated protein concentrations; Interaction parameters; Drug delivery fundamentals; Container closure compatibility", "domainList" : [ "high-concentration-biologics", "parenteral-biologics", "biologics-formulation", "biophysics", "drug-product-development", "parenteral-dosage-forms", "subcutaneous-drug-delivery", "protein-design", "structure-function-relationship", "elevated-protein-concentrations", "interaction-parameters", "drug-delivery-fundamentals", "container-closure-compatibility" ], "domainSpecificKnowledge" : [ "High-concentration biologics", "Parenteral biologics", "Biologics formulation", "Biophysics", "Drug product development", "Parenteral dosage forms", "Subcutaneous drug delivery", "Protein design", "Structure-function relationship", "Elevated protein concentrations", "Interaction parameters", "Drug delivery fundamentals", "Container closure compatibility" ], "toolProficiency" : [ "DLS", "DSC", "DSF", "SEC-MALS", "NTA", "CD", "FTIR", "Fluorescence spectroscopy", "Rheology" ], "communicationSkills" : "Communicate findings; Communicate clear insights", "documentationSkills" : "Regulatory documentation", "innovationCreativity" : "Driving innovation; Develop novel formulation strategies; Develop enabling technologies", "problemSolvingSkills" : "Mechanistic insights; Mitigate key risks; Complex data analysis; Data interpretation", "specialRequirements" : "Some travel required, Lab-work required", "outcomesObjectives" : "Translate insights into scalable solutions; Enhance Pfizer’s drug product capabilities", "qualificationsBasic" : "PhD in Pharmaceutics, Pharmaceutical Sciences, Biophysical Sciences, Biochemistry, Chemistry, Biomedical or Chemical Engineering, or related disciplines, 3–5 years relevant experience in biologics formulation, biophysics, or drug product development, Background in protein formulation for parenteral biologics, Hands-on experience with biophysical/analytical characterization techniques and data interpretation, Ability to design and interpret multi-technique characterization studies, Familiarity with parenteral dosage forms and delivery considerations, Ability to analyze complex data and communicate clear, actionable insights", "qualificationsPreferred" : "Industry experience preferred, Demonstrated scientific output (e.g., publications and/or conference presentations) preferred, Expertise in protein design/engineering principles, Expertise in structure-function relationship, Expertise in identification of developability hot spots, Expertise in how molecular attributes influence formulation behavior, Deep understanding of challenges at elevated protein concentrations, Familiarity with interaction parameters (kD, B22), Knowledge of subcutaneous drug delivery fundamentals, Experience with formulation of oligonucleotides, peptides, or other non-mAb modalities is a plus, Experience with molecular modeling, molecular dynamics simulations, machine learning/AI approaches for formulation or protein behavior prediction, QSPR modeling, Formal project leadership experience preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Principal Scientist – Protein Formulation & Biophysical Characterization (High-Concentration Biologics)** is a hands-on, laboratory-focused, scientific leadership role within a biologics and vaccines formulation group (DPDD- PhRD) for a deeply technical scientist driving innovation in protein formulation and high-concentration biologics. The role focuses on developing and implementing novel formulation strategies and platform approaches to enable high-dose, patient-centric biologic delivery, including subcutaneous administration. The successful candidate will generate mechanistic insights and translate them into scalable solutions that enhance Pfizer’s drug product capabilities. The individual will serve as a technical subject matter expert, contributing across cross-functional teams and building external scientific presence through publications, presentations, and participation in industry collaborations and consortia. **Key Responsibilities** **1) Formulation Science & Characterization** * Design and execute experimental studies to develop and optimize protein formulations across biologic modalities (e.g., mAbs, fusion proteins, bispecifics, antibody-drug conjugates, peptides, etc.) in liquid and lyophilized dosage forms. * Apply biophysical and physicochemical characterization to assess and mitigate key risks (e.g., aggregation, viscosity, stability). * Analyze data, generate clear insights, and communicate findings to scientific teams. **2) Innovation & Technology Development** * Develop and advance novel formulation strategies and enabling technologies for high-concentration biologics. * Build scalable approaches such as experimental workflows, screening methods, and predictive tools that can be applied across programs. * Collaborate with cross-functional teams to implement and integrate new technologies. **3) External Scientific Engagement** * Build collaborations with academic and industry partners to advance formulation science. * Contribute to external scientific visibility through publications, conference presentations, and participation in industry consortia. **4) Cross-Functional Contribution** * Collaborate with the internal Device Center of Excellence to facilitate optimal device selection, serving as a liaison and technical subject matter expert on formulation matters. * Provide formulation expertise to project teams and support key development decisions. * Contribute scientific input to regulatory documentation as needed. **5) Technical Leadership** * Lead a cross-functional group focused on subcutaneous delivery of biologics. Align with key stakeholders and devise and implement strategies to advance the biologics portfolio. * Lead focused technical initiatives or platform problems; prior experience with formal project leadership is preferred but not required. **Education & Experience** * PhD in Pharmaceutics, Pharmaceutical Sciences, Biophysical Sciences, Biochemistry, Chemistry, Biomedical or Chemical Engineering, or related disciplines with 3–5 years relevant experience in biologics formulation, biophysics, or drug product development (industry experience preferred) * Demonstrated scientific output (e.g., publications and/or conference presentations) preferred **** **Must Have** * Strong background in protein formulation for parenteral biologics * Direct hands-on experience with biophysical/analytical characterization techniques and data interpretation including proficiency with a broad suite of techniques (DLS, DSC, DSF, SEC-MALS, NTA, CD, FTIR, fluorescence spectroscopy, rheology); ability to design and interpret multi-technique characterization studies * Familiarity with parenteral dosage forms and delivery considerations * Ability to analyze complex data and communicate clear, actionable insights **Nice to Have** * Demonstrated expertise in protein design/engineering principles, structure-function relationship, identification of developability hot spots, and how molecular attributes influence formulation behavior. * Deep understanding of challenges at elevated protein concentrations: viscosity, self-association, aggregation, LLPS, colloidal instability, opalescence; familiarity with interaction parameters (kD, B22) * Knowledge of subcutaneous drug delivery fundamentals: injection volume/concentration constraints, tissue interactions, injectability, bioavailability considerations, container closure compatibility **Optional Technical Skills** * Experience with formulation of oligonucleotides, peptides, or other non-mAb modalities is a plus * Experience with molecular modeling, molecular dynamics simulations, machine learning/AI approaches for formulation or protein behavior prediction, QSPR modeling **PHYSICAL/MENTAL REQUIREMENTS** * Job involves lab-work and requires strong ability to perform complex data analysis and data interpretation. **NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS** * Some travel required as part of project support, conference attendance, consortia participation, etc. **_Relocation support available Work Location Assignment: On Premise_** The annual base salary for this position ranges from $106,000.00 to $176,600.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 15.0% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site – U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. Relocation assistance may be available based on business needs and/or eligibility. Candidates must be authorized to be employed in the U.S. by any employer. U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future. **Sunshine Act** Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. **EEO & Employment Eligibility** Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Pfizer endeavors to make [www.pfizer.com/careers](http://www.pfizer.com/careers) accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email [disabilityrecruitment@pfizer.com](mailto:disabilityrecruitment@pfizer.com). This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned. To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on [ _Pfizer Careers_](https://www.pfizer.com/about/careers/ai-use-guidelines). Research and Development", "summaryDescription" : "Principal Scientist – Protein Formulation & Biophysical Characterization (High-Concentration Biologics) at Pfizer. Skills: Protein formulation, Biophysical characterization, High-concentration biologics. Design and execute experimental studies to develop and. Apply biophysical and physicochemical characterization to assess and", "postedDate" : "2026-06-06T14:59:45.367", "createdAt" : "2026-06-11T14:59:45.144", "lastUpdated" : "2026-06-12T19:16:32.422", "ingestTimestamp" : "2026-06-11T14:59:45.144", "mongoId" : "6a26123774d8ee00a01f498f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://pfizer.wd1.myworkdayjobs.com/PfizerCareers/job/United-States---Massachusetts---Andover/Principal-Scientist---Protein-Formulation---Biophysical-Characterization--High-Concentration-Biologics-_4956789-2", "salaryAnnualMin" : 106000, "salaryAnnualMax" : 106000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Protein formulation", "Biophysical characterization", "Physicochemical characterization", "Data analysis", "Data interpretation", "Subcutaneous drug delivery", "Leadership", "High-concentration biologics", "Formulation science", "Drug product development", "Scientific leadership", "External scientific engagement", "Regulatory documentation", "Parenteral biologics", "Biologics formulation", "Biophysics", "Parenteral dosage forms", "Protein design", "Structure-function relationship", "Elevated protein concentrations", "Interaction parameters", "Drug delivery fundamentals", "Container closure compatibility", "DLS", "DSC", "DSF", "SEC-MALS", "NTA", "CD", "FTIR", "Fluorescence spectroscopy", "Rheology" ], "skillCount" : 32, "jobCategory" : "engineering", "seniorityLevel" : "senior", "dataQualityScore" : 1.0, "daysOld" : 6, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Biologics" }, { "id" : "6a2d58ed74d8ee00a0b87b4b", "title" : "Scientist (f/m/d) – Biophysical Characterization", "company" : "Coriolis Pharma", "industry" : "Pharma", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a mid-seniority Scientist in the Biotech industry in Durham, United States, adjusted for company size and location." }, "location" : "Durham, US", "locations" : [ "Durham", "US" ], "timestamp" : "2026-06-16T01:46:11.089", "fingerprint" : "ab59ca07bd16dcbe3c8b5d614cc7ccc7437b522f752216f58aefdb4542c88400", "source" : "personio", "language" : "en", "applyUrl" : "https://coriolis.jobs.personio.de/job/2660712", "externalId" : "2660712", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Durham", "state" : "North Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.9966530,-78.9018053" } ], "locationText" : "Durham, North Carolina, United States", "rawDescription" : "Purpose of your Job As part of our dynamic Formulation Development & Analytics unit, you will contribute to enabling the next generation of biopharmaceutical therapies. Our team develops innovative formulation and analytical strategies under BSL-1/2 and S1/S2 safety levels as well as GMP quality standards, ensuring scientific excellence, precision, and curiosity. This role supports Coriolis Pharma’s global growth, including the expansion of new U.S. facilities in North Carolina’s Research Triangle Park (RTP). You will help transfer expertise, establish scientific capabilities, and ensure seamless integration of processes across locations. In this position, you will transform scientific questions into analytical insights by developing state-of-the-art methods, interpreting complex data, and contributing to client projects in an international environment. You will further develop both your technical expertise and personal skills. This opportunity is ideal for someone who enjoys hands-on laboratory work, thrives in a project-driven setting, and is excited to contribute to scientific excellence and the establishment of a new U.S. site. Your Responsibility Project Work Be part of project teams for client projects (e.g., liquid/lyophilization formulation development, comparability and stress testing, storage stability study) as assigned by the superior with special focus on biophysical characterization techniques for biopharmaceuticals. Work as 1st or 2nd project leader and/or team member for projects. Contribute to the development of work plans, testing procedures and/or amendments for customer projects. Correctly, timely and independently plan and execute formulation preparation / analytical testing / experiments. Independently perform analytical method transfer/implementation. Demonstrate solid understanding of performed analytical methods and be able to apply the knowledge to interpret the data. Perform data analysis and subsequently put data into context for data presentation and/or report. Support scientific discussion in client meetings. Appropriately act on unforeseen events. Scientific Expertise Serve as an expert on several instruments, analytical methods, and application areas, including biophysical characterization methods (e.g., ability to perform method development, interpretation of data, troubleshooting and training of new users on analytical procedures including analytical ultracentrifugation and circular dichroism). Implementation of new analytical equipment / technologies and application of the methods within client projects. Training & Mentoring Support onboarding of new team members. Liaise with superior on training needs. Act as mentor. Laboratory Operations Serve as a System Owner for laboratory equipment: responsible for operator training, equipment maintenance, calibration and qualification. Ensure that GRP rules are followed and documented. Ensure general laboratory cleanliness. Other duties as assigned by superior. Initiative application What you need to succeed University degree in pharmaceutical sciences, (bio)chemistry, biology, or a related field Minimum 3 years of relevant experiences, e.g. employment in pharmaceutical industry / analytical laboratory (e.g. CDMO) or PhD studies Experience with equipment commissioning, maintenance, and LIMS Proven track record and hands-on experience in relevant biophysical characterization techniques (AUC, CD, µDSC, FTIR, fluorescence, DLS, nanoDSF) is strongly preferred Additional expertise in planning and execution of biosimilar testing is a plus Proficiency in HPLC/UPLC-analysis (SEC, IEX, RP, LC-CAD, LC-MS), CE-analysis and subvisible particle analysis (MFI, LO) is highly beneficial Knowhow of biopharmaceutical formulation development, clinical in-use testing and PPM comparability testing is beneficial Strong verbal and written communication skills Good knowledge of English (both written and spoken) Good time management and prioritization skills Eagerness to learn and develop new skills Open-minded and able to adapt strategies to changes Strong intercultural and interdisciplinary team player Strong problem-solving skills Hands-on mentality: practical, solution-oriented approach with a willingness to take initiative Candidates must be based in North Carolina (NC) or willing to relocate to NC Invest in yourself Why to join Coriolis? Let’s formulate innovation together… Our success & development is created by the people working together @Coriolis. We put People first! That’s why we have a growth mindset, and value personality, collaboration and community to create an empowering and inspiring working space with focus on quality and customers. We would like to grow together with you! Let’s continue building and creating the future now! Join our Team of currently around 200 employees. In a highly motivated and interdisciplinary team, we provide you with a great chance to increase your experience. We offer an attractive work space at the Martinsried site. Let’s make a difference together! Coriolis Pharma is an equal opportunity employer and welcomes applications from all qualified individuals regardless of ethnicity, sex, citizenship or gender identity, color, disability, religion/belief, sexual orientation, marital status, age or individual preferences. Different backgrounds, experiences and ideas push us further and raise the bar. Thank you for your interest! We look forward to receiving your application documents. Please use our career portal exclusively for this purpose. We would like to support you from the very beginning to shape your development possibilities here at Coriolis. For questions or further information, please visit our website or contact us directly. We are looking forward to your application! Your Contact Dominik Schwemmer Senior Business Partner - Talent & Development People, Organization & Culture Unit Coriolis Pharma Research GmbH Phone: +49 (0) 89 – 417760 - 0 Fraunhoferstraße 18 b, 82152 Martinsried www.coriolis-pharma.com", "summaryDescription" : "Scientist (f/m/d) – Biophysical Characterization at Coriolis Pharma", "createdAt" : "2026-06-14T19:43:30.688", "lastUpdated" : "2026-06-16T01:46:11.089", "ingestTimestamp" : "2026-06-14T19:43:30.688", "mongoId" : "6a2d58ed74d8ee00a0b87b4b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307525f292fd229c00c92f", "title" : "Senior Scientist, Biologics Drug Discovery", "company" : "Relation", "industry" : "Discovery", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Scientist in Biologics Drug Discovery in London, UK, adjusted for seniority and industry." }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-16T08:47:15.704", "fingerprint" : "95267e8b1a038ea63fb223193e54098c9d818feaaf9cd50562bdb0cb4ed4b995", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/relationrx/a8e49753-2b75-4ff5-b196-460924901cb2/application", "externalId" : "a8e49753-2b75-4ff5-b196-460924901cb2", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Machine learning, Single-cell multi-omics", "professionalSkills" : [ "Drug discovery", "Molecule design", "Affinity maturation", "CDR engineering", "Developability assessment", "Molecule optimisation", "Target validation", "Hit identification", "Lead characterization", "Candidate selection", "Biologics discovery", "Scientific decision-making", "Data interpretation", "Experimental execution", "Study design", "Data review", "Scientific interpretation", "Pipeline decisions" ], "hardSkillsList" : [ "Antibody discovery", "Antibody engineering", "Functional assays", "Biophysical characterization", "SPR", "BLI", "Octet" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Antibody discovery", "level" : "intermediate" }, { "name" : "Antibody engineering", "level" : "intermediate" }, { "name" : "Functional assays", "level" : "intermediate" }, { "name" : "Biophysical 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molecules with credible path, Act as technical voice, Partner with colleagues, Design molecules, Engineer molecules, Optimise molecules, Assess potency, Assess selectivity, Assess developability, Assess mechanism of action, Interpret complex datasets, Use data to drive molecule design, Use data to drive molecule optimisation, Maintain hands-on role, Partner with internal teams, Partner with external teams, Drive biologics programs end-to-end, Perform target validation, Perform hit identification, Perform lead characterization, Perform optimisation, Perform developability triage, Make modality decisions, Select molecule for target, Select molecule for indication, Design discovery packages, Oversee discovery packages, Combine cell-based assays, Combine biophysical characterization, Combine developability assessment, Drive candidate selection, Operate in matrixed environment, Partner with Computational Biology, Partner with Machine Learning, Partner with CMC, Partner with DMPK, Partner with Toxicology, Partner with Translational colleagues, De-risk candidates, Progress candidates toward IND-enabling studies, Partner with external collaborators, Partner with CROs, Contribute to study design, Contribute to data review, Contribute to scientific interpretation, Share expertise with colleagues, Contribute to scientific environment, Partner with ML teams, Partner with computational biology teams, Bring insight into predictive approaches, Bring insight into generative approaches, Apply predictive approaches to target selection, Apply generative approaches to target selection, Apply predictive approaches to molecule design, Apply generative approaches to molecule design, Apply predictive approaches to lead optimization, Apply generative approaches to lead optimization, Contribute to design of antibody molecules, Contribute to engineering of antibody molecules, Contribute to optimisation of antibody molecules, Use experimental data to guide decisions, Use experimental data to guide progression strategies, Contribute to scientific culture, Mentor junior scientists, Support publications, Support conference visibility, Shape scientific identity, Shape biologics group identity", "teamCollaboration" : "Interdisciplinary teams; Highly interdisciplinary teams; Matrixed pharmaiotech environment; Computational Biology; Machine Learning; CMC; DMPK; Toxicology; Translational colleagues; External collaborators; CROs; ML teams; Computational biology teams; Matrixed environment; Multiple stakeholders; Across teams; Across Drug Discovery; Across scientific domains; Across technical domains; Across operational domains; Multiple teams; Multiple projects; Shared company priorities; Diverse perspectives; Working relationships; Shared goals; Across teams", "domainKnowledge" : "Biologics drug discovery; Antibody discovery; Antibody engineering; Developability assessment; IND-enabling activities; Target Product Profiles; Antibodies; Bispecifics; ADCs; Fusion proteins; Fragments; Bone biology; Bone-microenvironment models; Osteoblast; Osteoclast; Mineral-binding assays; Resorption assays; TechBio; Computationally-driven discovery", "domainList" : [ "biologics-drug-discovery", "antibody-discovery", "antibody-engineering", "developability-assessment", "ind-enabling-activities", "target-product-profiles", "antibodies", "bispecifics", "adcs", "fusion-proteins", "fragments", "bone-biology", "bone-microenvironment-models", "osteoblast", "osteoclast", "mineral-binding-assays", "resorption-assays", "techbio", "computationally-driven-discovery" ], "domainSpecificKnowledge" : [ "Biologics drug discovery", "Antibody discovery", "Antibody engineering", "Developability assessment", "IND-enabling activities", "Target Product Profiles", "Antibodies", "Bispecifics", "ADCs", "Fusion proteins", "Fragments", "Bone biology", "Bone-microenvironment models", "Osteoblast", "Osteoclast", "Mineral-binding assays", "Resorption assays", "TechBio", "Computationally-driven discovery" ], "toolProficiency" : [ "SPRiacore", "BLI/Octet" ], "continuousLearning" : "Conference visibility", "problemSolvingSkills" : "Data-driven molecule optimisation", "qualificationsBasic" : "PhD in Molecular Biology, PhD in Immunology, PhD in Pharmacology, PhD in Cell Biology, PhD in Prot, Good understanding of biologics drug discovery end-to-end, Awareness of IND-enabling activities", "qualificationsPreferred" : "Familiarity with bone biology, Familiarity with bone-microenvironment models, Peer-reviewed publications, Prior experience mentoring junior scientists, Exposure to TechBio environment, Exposure to computationally-driven discovery environment", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT RELATION Relation is a sector defining TechBio company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life’s most devastating diseases. We leverage single-cell multi-omics from patient tissue, functional assays, and machine learning to drive disease understanding, from cause to cure. We are scaling rapidly and building a team of exceptional individuals to push the boundaries of drug discovery. You will work in highly interdisciplinary teams where biology, computation, and engineering come together to solve complex problems that have not been solved before. Our state-of-the-art wet and dry labs in the heart of London are designed to accelerate this integration and translate insight into impact. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. By joining Relation, you will help define how medicines are discovered and deliver meaningful impact for patients. THE OPPORTUNITY Relation is offering an outstanding opportunity for an Senior Scientist, Biologics Drug Discovery to bring deep biologics drug discovery knowledge to our growing pipeline. You will contribute to target assessment, modality selection and biologics discovery strategies through deep technical expertise and hands-on scientific execution from early concept through to IND-enabling studies. As Relation grows its scientific and machine learning capabilities, you will act as a highly experienced scientist, bringing deep expertise in antibody discovery and engineering while contributing directly to programme execution and scientific decision-making, working alongside our computational, ML, and translational teams to translate biological insight into well-designed molecules with a credible path to the clinic. We are particularly interested in scientists who have personally designed, engineered and optimised antibody molecules, including experience with affinity maturation, CDR engineering, developability assessment and data-driven molecule optimisation. You will additionally be a key technical voice in pipeline decisions and a trusted partner to colleagues across Drug Discovery and beyond. DAY TO DAY, YOU WILL - Demonstrated hands-on experience designing, engineering and optimising antibody molecules, with a strong understanding of the experimental approaches used to assess potency, selectivity, developability and mechanism of action. - Ability to independently interpret complex datasets and use those data to drive molecule design and optimisation decisions. - Maintain a hands-on role in biologics discovery activities while partnering closely with internal and external teams. - Drive biologics programs end-to-end — from target validation and hit identification through lead characterization, optimization, and developability triage — against agreed Target Product Profiles (TPPs). - Make informed modality decisions across the biologics landscape (antibodies, bispecifics, ADCs, fusion proteins, fragments) and ensure the right molecule is selected for the right target and indication. - Design and oversee fit-for-purpose discovery packages, combining cell-based functional assays, biophysical characterization (SPR/Biacore, BLI/Octet), and developability assessment to drive sound candidate selection. - Operate effectively in a matrixed pharma/biotech environment, partnering with Computational Biology, Machine Learning, CMC, DMPK, Toxicology, and Translational colleagues to de-risk candidates and progress them toward IND-enabling studies. - Partner with external collaborators and CROs, contributing to study design, data review and scientific interpretation. - Share expertise with colleagues and contribute to a collaborative scientific environment. - Partner with our ML and computational biology teams to bring biologics drug discovery insight into how predictive and generative approaches are applied to target selection, molecule design, and lead optimization. - Personally contribute to the design, engineering and optimisation of antibody molecules, using experimental data to guide scientific decisions and progression strategies. - Contribute to Relation’s scientific culture by mentoring junior scientists in biologics drug discovery, supporting publications and conference visibility, and helping to shape the broader scientific identity of the biologics group. PROFESSIONALLY, YOU WILL HAVE - A PhD. in Molecular Biology, Immunology, Pharmacology, Cell Biology, Protein Engineering, or a related life-science discipline. - Hands-on drug discovery experience gained in a pharma or biotech setting, with a clear track record of contributing to biologics programs progressing through key discovery milestones (target validation, hit-to-lead, lead optimization, candidate selection). - Proven experience working in a matrixed pharma/biotech environment, partnering effectively across functions (e.g. CMC, DMPK, Toxicology, Computational/ML, Translational) and balancing multiple stakeholders. - Deep working knowledge of biologics drug discovery: how biology is translated into a molecule, how modalities are chosen, how discovery cascades are designed, and what data are needed at each stage to make sound progression decisions. - Familiarity with the biologics modality landscape (antibodies, bispecifics, ADCs, fusion proteins, fragments) and an informed view of when each modality is the right tool for the biology. - Hands-on experience with the data types that drive biologics drug discovery decisions, including cell-based functional and screening assays and biophysical characterization (SPR/Biacore, BLI/Octet). - Working experience of CRO management across biologics drug discovery activities (e.g. molecule production, in vitro pharmacology, in vivo studies). - A good understanding of biologics drug discovery end-to-end, including TPP-driven decision-making, developability considerations, and awareness of what is required to support IND-enabling activities. - Curiosity about how ML and computational approaches can complement traditional biologics discovery workflows, and an interest in shaping how those tools are deployed. Bonus experience: - Familiarity with bone biology and bone-microenvironment models (osteoblast, osteoclast, osteocyte; mineral-binding or resorption assays). - Peer-reviewed publications in the biologics drug discovery space, prior experience mentoring junior scientists, and exposure to a TechBio or computationally-driven discovery environment are also welcome. PERSONALLY, YOU: - Are comfortable working in a matrixed environment, balancing multiple stakeholders and contributing effectively across teams. - Take ownership of your work, proactively seek opportunities to contribute, and enable others to do their best work. - Communicate openly and directly, give and receive feedback constructively, and handle challenging conversations with respect. - Actively seek out diverse perspectives, build strong working relationships, and contribute to shared goals across teams. - Embrace challenges with openness and resilience, set high standards for yourself, and strive to deliver meaningful outcomes. WORKING STYLE & CULTURE AT RELATION At Relation, we operate in a matrixed, interdisciplinary environment, where impact is driven through collaboration across scientific, technical, and operational domains. We collaborate, and you will partner with colleagues across multiple teams and projects, contributing your expertise while aligning to shared company priorities. We work together and win together! The patient is waiting! RECRUITMENT AGENCIES Please note that Relation does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation will not be liable for any fees associated with unsolicited CVs. Relation is a committed equal opportunities employer.", "summaryDescription" : "Senior Scientist, Biologics Drug Discovery at Relation. Skills: Biologics drug discovery, Antibody engineering, Machine learning. Contribute to target assessment. Contribute to modality selection", "createdAt" : "2026-06-16T00:28:21.999", "lastUpdated" : "2026-06-16T08:47:15.704", "ingestTimestamp" : "2026-06-16T00:28:21.999", "mongoId" : "6a307525f292fd229c00c92f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Antibody discovery", "Antibody engineering", "Functional assays", "Biophysical characterization", "SPR", "BLI", "Octet", "Mentoring", "Biologics drug discovery", "Machine learning", "Drug discovery", "Molecule design", "Affinity maturation", "CDR engineering", "Developability assessment", "Molecule optimisation", "Target validation", "Hit identification", "Lead characterization", "Candidate selection", "Biologics discovery", "Scientific decision-making", "Data interpretation", "Experimental execution", "Study design", "Data review", "Scientific interpretation", "Pipeline decisions", "IND-enabling activities", "Target Product Profiles", "Antibodies", 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"2026-06-14T21:07:17.797", "fingerprint" : "54075c582deb9ed6c37fb7a1067f2adfb53aa8ddb1057b9dcb8ed7c4c8ba92e5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/genscript/jobs/5160645007", "externalId" : "5160645007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Principal", "technicalSkills" : "Protein science, Molecular engineering, Biologics development, Structure prediction, Computational tools", "professionalSkills" : [ "Functional leadership", "Platform building", "Client-facing projects", "Tech transfer", "Operational deployment", "Intellectual property" ], "hardSkillsList" : [ "Antibody design", "Protein expression", "Protein purification", "Bispecific design", "Protein engineering", "Biophysical characterization", "Protein-protein interactions", "Analytical techniques", "SPR", "Mass spectrometry" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Antibody design", "level" : "intermediate" }, { "name" : "Protein expression", "level" : "intermediate" }, { "name" : "Protein purification", "level" : "intermediate" }, { "name" : "Bispecific design", "level" : "intermediate" }, { "name" : "Protein engineering", "level" : "intermediate" }, { "name" : "Biophysical characterization", "level" : "intermediate" }, { "name" : "Protein-protein interactions", "level" : "intermediate" }, { "name" : "Analytical techniques", "level" : "intermediate" }, { "name" : "SPR", "level" : "intermediate" }, { "name" : "Mass spectrometry", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Bispecific Antibody Design, Protein Science, Molecular Engineering", "majorSkillsList" : [ "Bispecific Antibody Design", "Protein Science", "Molecular Engineering" ], "coreResponsibilities" : "Develop innovative strategies for design and engineering of, Implement innovative strategies for design and engineering of, Troubleshoot innovative strategies for design and engineering of, Design a portfolio of projects, Manage a portfolio of projects, Provide data-driven, structure-function insights, Improve expression, stability, and manufacturability, Oversee a team of research associates, Oversee a team of biotechnologists, Provide technical guidance to team, Foster a culture of excellence in protein science, Collaborate with cross-functional teams, Collaborate with cross-cultural teams, Support the development of biologics, Evaluate new technologies, Translate new technologies into production-ready solutions, Review advancements in antibody formats, Review advancements in engineering strategies, Review advancements in upstream and downstream integration impacts, Assess readiness of new technologies for tech transfer, Assess fit-for-purpose application across different molecule classes, Assess scalability and reproducibility, Assess impact on quality attributes, Act as a scientific bridge between R&D and, Ensure new platforms are scientifically sound, Ensure new platforms are translatable to production workflows, Ensure design decisions align with manufacturing realities, Partner with internal stakeholders, Develop design-for-manufacturability strategies, Develop internal guidelines for manufacturability, Develop AI-assisted design-for-manufacturability frameworks, Integrate AI-assisted design-for-manufacturability frameworks, Leverage internal datasets, Leverage external computational tools, Proactively identify risks, Proactively mitigate risks, Lead AI-enabled design initiatives, Support AI-enabled design initiatives, Translate computational design outputs into experimentally validated constructs, Ensure alignment between in silico design predictions and, Generate novel ideas, Contribute to intellectual property portfolio, Draft scientific papers, File patents, Report innovations in scientific forums, Contribute to development of scientific publications, Contribute to conference presentations, Contribute to webinars, Prepare technical reports, Review technical reports, Prepare technical documentation, Review technical documentation", "teamCollaboration" : "Cross-functional teams; Cross-cultural teams; Internal stakeholders; Quality Assurance; Process Development; Manufacturing", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Antibody formats; Protein science; Biologics production; Molecular engineering; Structure prediction; Developability scoring; Aggregation; Mispairing; Heterogeneity", "domainList" : [ "antibody-formats", "protein-science", "biologics-production", "molecular-engineering", "structure-prediction", "developability-scoring", "aggregation", "mispairing", "heterogeneity" ], "domainSpecificKnowledge" : [ "Antibody formats", "Protein science", "Biologics production", "Molecular engineering", "Structure prediction", "Developability scoring", "Aggregation", "Mispairing", "Heterogeneity" ], "toolProficiency" : [ "Computational tools" ], "communicationSkills" : "Scientific publications; Conference presentations; Webinars; Technical reports; Technical documentation", "documentationSkills" : "Technical documentation", "innovationCreativity" : "Innovation; Intellectual property; Novel ideas; R&D innovation", "problemSolvingSkills" : "Problem-solving skills; Troubleshooting", "qualificationsBasic" : "Ph.D. in Biochemistry, Molecular Biology, Cell Biology, Structural Biology, Bioengineering or related field, At least 5 years of experience in antibody design, protein expression, and purification, Expertise in bispecific design, Troubleshooting expression challenges, Demonstrated record of success with protein engineering for enhanced protein expression or properties, Experience with biophysical characterization of proteins, Experience with assessment of protein-protein interactions, Analytical and problem-solving skills, Wide ranging experience in analytical techniques, Excellent written and verbal English communication skills", "qualificationsPreferred" : "Experience in an industrial setting, Familiarity with automation and high-throughput techniques for protein expression and purification", "workSiteFlexibility" : "Onsite", "rawDescription" : "About GenScript GenScript Biotech Corporation (Stock Code: 1548.HK) is a global biotechnology group. Founded in 2002, GenScript has an established global presence across North America, Europe, the Greater China, and Asia Pacific. GenScript's businesses encompass four major categories based on its leading gene synthesis technology, including operation as a Life Science CRO, enzyme and synthetic biology products, biologics development and manufacturing, and cell therapy. GenScript is committed to striving towards its vision of being the most reliable biotech company in the world to make humans and nature healthier through biotechnology. Position Overview: We are seeking a highly motivated and experienced Principal Scientist in Bispecific Antibody Design & Engineering to establish and strengthen Singapore’s role as a center of excellence for complex antibody design and molecular engineering. In this role, you will serve as a functional leader in molecular design, format selection and recommendation, and engineering strategy while enabling improved expression, developability, and manufacturability. Additionally, you will play a key role in client-facing projects, ensuring seamless collaboration and delivery of high-quality biologics solutions. This position requires a blend of platform building, leadership skills, and the ability to build cross effectively. Key Responsibilities: Biologics Production Leadership: Develop, triage, implement, and troubleshoot innovative strategies for the design and engineering of complex antibody formats (bispecifics, multivalent, Fc-fusions, VHH). to achieve high yields, purity, and functionality. Design and manage a portfolio of projects to provide data-driven, structure-function insights to improve expression, stability, and manufacturability. Oversee a team of research associates and/or biotechnologists, providing technical guidance and fostering a culture of excellence in protein science methodologies. Cross-Functional Collaboration: Collaborate with cross-functional and cross-cultural teams to support the development of biologics, with a focus on evaluate and translate new technologies into production-ready solutions. Periodically review internal and external advancements in: Antibody formats and engineering strategies Upstream and downstream integration impacts driven by molecule design Assess readiness of new technologies for tech transfer, including: Fit-for-purpose application across different molecule classes Scalability and reproducibility Impact on quality attributes (aggregation, mispairing, heterogeneity) Act as a scientific bridge between R&D innovation and operational deployment, ensuring: New platforms are not only scientifically sound but also translatable to production workflows Design decisions are aligned with manufacturing realities Partner with internal stakeholders (e.g., Quality Assurance, Process Development, and Manufacturing) to ensure alignment and efficiency in biologics production workflows. Develop design-for-manufacturability strategies and internal guidelines: Develop and integrate AI-assisted design-for-manufacturability frameworks, leveraging internal datasets and external computational tools (e.g., structure prediction, developability scoring) to proactively identify and mitigate risks such as aggregation, mispairing, and low expression in complex antibody formats. Lead or support AI-enabled design and innovation initiatives (internal and external partnerships, including governmental or consortium projects) by translating computational design outputs into experimentally validated constructs, and ensuring alignment between in silico design predictions and real-world expression, quality, and manufacturability outcomes. Innovation & Intellectual Property: Generate novel ideas and contribute to the company’s intellectual property portfolio by drafting scientific papers, filing patents and reporting innovations in scientific forums. Contribute to the development of scientific publications, conference presentations, and webinars to showcase innovative findings and advancements. Prepare and review technical reports and documentation to internal and external stakeholders. Qualifications and Preferred Skills: Ph.D., in Biochemistry, Molecular Biology, Cell Biology, Structural Biology, Bioengineering or a related field. At least 5 years of experience in antibody design, protein expression, and purification, preferably in an industrial setting. Strong expertise in bispecific design and troubleshooting expression challenges. A demonstrated record of success with protein engineering for enhanced protein expression or properties. Experience with the biophysical characterization of proteins and the assessment of protein-protein interactions. Familiarity with automation and high-throughput techniques for protein expression and purification. Strong analytical and problem-solving skills, with a wide ranging experience in analytical techniques such as SPR, and mass spectrometry. Excellent written and verbal English communication skills, with a track record of scientific publications, presentations, and conferences. GenScript USA Inc/ProBio Inc. is a proud equal opportunity/affirmative action employer committed to attracting, retaining, and maximizing the performance of a diverse and inclusive workforce. It is the Company's policy to ensure equal employment opportunity without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, uniformed service member or veteran status, or any other characteristic protected by law. GenScript USA Inc./ProBio Inc. maintains a drug-free workplace. Please note: Genscript USA Inc./ProBio Inc. will only contact candidates through verified application sources. GenScript/Probio does not request personal information from candidates through individual email or any other platform.", "summaryDescription" : "Associate Principal / Principal Scientist (Protein Science) at GenScript/ProBio. Skills: Bispecific Antibody Design, Protein Science, Molecular Engineering. Develop innovative strategies for design and engineering of. Implement innovative strategies for design and engineering of", "postedDate" : "2026-06-11T22:09:12.938", "createdAt" : "2026-06-11T22:09:12.938", "lastUpdated" : "2026-06-14T21:07:17.797", "ingestTimestamp" : "2026-06-11T22:09:12.938", "mongoId" : "6a2a830a74d8ee00a06750e5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Antibody design", "Protein expression", "Protein purification", "Bispecific design", "Protein engineering", "Biophysical characterization", "Protein-protein interactions", "Analytical techniques", "SPR", "Mass spectrometry", "Leadership", "Mentoring", "Bispecific Antibody Design", "Protein Science", "Molecular Engineering", "Functional leadership", "Platform building", "Client-facing projects", "Tech transfer", "Operational deployment", "Intellectual property", "Project management", "Antibody formats", "Protein science", "Biologics production", "Molecular engineering", "Structure prediction", "Developability scoring", "Aggregation", "Mispairing", "Heterogeneity", "Computational tools" ], "skillCount" : 32, "jobCategory" : "other", "jobSubcategory" : "protein-&-antibody", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotechnology" }, { "id" : "6a30735ff292fd229c001a7c", "title" : "Assistant Principal - High School", "company" : "KIPP Public Schools Northern California", "industry" : "Education Management", "salary" : { "min" : 92000.0, "max" : 102000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "San Francisco, CA, United States", "locations" : [ "San Francisco", "CA", "United States" ], "certifications" : [ "California teaching credential", "Out-of-state equivalent credential" ], "timestamp" : "2026-06-16T13:32:57.077", "fingerprint" : "a3364ce4a9caf8532b315b07e16f7a0f5b45ef433edff25fe32b306b35cffb7c", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/KIPP/744000132287615-kipp-assistant-principal-high-school-san-francisco-26-27-", "externalId" : "744000132287615", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "professionalSkills" : [ "Performance Management", "Instructional planning", "Instructional strategies", "Pedagogy" ], "hardSkillsList" : [ "Data analysis" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Instructional Leadership, School Leadership, Student Outcomes", "majorSkillsList" : [ "Instructional Leadership", "School Leadership", "Student Outcomes" ], "coreResponsibilities" : "Support school vision and goals, Mobilize teachers to achieve goals, Lead planning and goal setting, Ensure alignment with school goals, Collaborate on hiring staff, Contribute to school-wide planning, Prioritize time to accomplish goals, Provide input into strategic planning, Identify areas of ownership, Support School Leader, Identify emerging leaders, Develop emerging leaders", "teamCollaboration" : "School leadership team; Emerging leaders", "domainKnowledge" : "School-wide academic standards; State assessments; Child development", "domainList" : [ "school-wide-academic-standards", "state-assessments", "child-development" ], "domainSpecificKnowledge" : [ "School-wide academic standards", "State assessments", "Child development" ], "continuousLearning" : "Professional development; Coaching", "outcomesObjectives" : "Drive academic outcomes; Drive social emotional learning outcomes", "qualificationsBasic" : "3-5 years experience as educator, Hold a B. A. S degree, California teaching credential, Out-of-state equivalent credential, Student Focus belief, Direction Setting ability, Achievement Orientation, Cultural Competence ability, Instructional Leadership, Relationship Building expertise", "qualificationsPreferred" : "Previous Leadership experience, Previous Teacher-Leader experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About KIPP Public Schools Northern California We are a thriving nonprofit network of free, public charter schools open to all students. Together with families and communities, we create joyful, academically excellent schools that prepare students with the skills and confidence to pursue the paths they choose—college, career, and beyond—so they can lead fulfilling lives and build a more just world. We value the dedication, hard work, and passion that our teachers bring each day. KIPP Northern California supports you with professional development, coaching, and collaboration. We offer competitive pay and benefits that reflect the appreciation we have for our teachers and their dedication to students Our student community consists of over 7,000 elementary, middle, and high school students in East Palo Alto, Oakland, San Francisco, San Lorenzo, San Jose, and Redwood City, and Stockton. 79% qualify for free or reduced price lunch, 23% are multilingual learners, and 10% have special needs. We strive to cultivate a representative team of teachers and leaders that reflect our students’ diversity Position Summary At KIPP Public Schools Northern California, we believe that Assistant Principals are our future school leaders. We actively develop Assistant Principals for School Leadership and feel the Assistant Principal should consider themselves as an apprentice to the School Leader. The Assistant Principal should gradually build capacity to lead a KIPP school. The Assistant Principal’s job is to support the school in driving academic and social emotional learning outcomes for students as a key member of the school’s leadership team. Assistant Principals are expected to lead both instruction and school culture, while developing the skills of the school's emerging leaders. Preferred Qualifications Experience: * Minimum 3-5 years of experience as an educator teaching students with similar demographics to our KIPP Public Schools Northern California student community * Previous Leadership or Teacher-Leader experience preferred (ex: Grade Level Lead, Instructional Coaching, Content Lead, etc.) Education: * Hold a B.A/B.S degree from a regionally accredited institution * Meet one of the following eligibility requirements: * Hold a valid California teaching credential, or * Out-of-state equivalent credential or license Knowledge/skills required: * Student Focus: Belief that all students, regardless of background, have the ability to go to and through college; demonstrated commitment to the school’s unique community * Direction Setting : Ability to set direction for a team and motivate others to action * Achievement Orientation and Performance Management: Demonstrated student achievement results in own classroom and from teachers that he/she manages * Cultural Competence : Demonstrated ability to create inclusive environments that honors and supports a diversity of backgrounds and perspectives * Instructional Leadership : Adept at data analysis; ability to extract meaningful insights across school-wide data * Instructional Leadership : Expertise in what the school-wide academic standards and state assessments require of students’ knowledge and skills to demonstrate mastery; able to translate student mastery requirements into instructional plans and strategies * Instructional Leadershi p: Deep understanding of appropriate application and differentiation of high-leverage instructional strategies (e.g. make kids sweat, pacing, stretch it, etc.) based on comprehension of child development and pedagogy * Relationship Building : Expertise in cultivating relationships and managing a diverse group of stakeholders * Achievement Orientation : Demonstrated resilience and focus on student outcomes Essential Functions and Responsibilities: Model and support implementation of the school’s vision and goals * Supports the Schools Leader's vision and takes an active role in mobilizing teachers to achieve the collective goals of the school; Supports the Schools Leader's vision and takes an active role in mobilizing teachers to achieve the collective goals of the school. * With guidance from the School Leader, leads the planning and goal setting for the grades/departments that he/she coaches and ensures alignment with school-wide goals * Collaborate with School Leader on hiring diverse, highly-effective teachers and school staff Contribute to school-wide planning and prioritizes time to accomplish goals * Provides input into the strategic planning of the school, and identifies areas of ownership for self and direct reports Develop emerging leaders with School Leader's guidance * Supports the School Leader in identifying and developing emerging leaders (Department Heads and/or Grade Level Chairs) through goal setting, coaching and feedback Model strong staff and student culture and manage school-wide character development and behavior management systems * Supports teachers in student support and behavior intervention systems to ensure that limited time is spent on reactive student discipline. * Manages parts of the daily school operations (e.g. arrival/dismissal, lunch/recess, school trips) * Acts as the first Leadership Team contact for student intervention and parent engagement; determines next steps for issues that are above the teacher/grade level/department chair Build own direct reports' instructional knowledge of standards, content, and methods * Content (Standards, Curriculum, and Assessment): * Studies curriculum and assessment in order to develop understanding of content mastery, and what is required of students and teachers to accomplish mastery * Coaches teachers on how to assess for both student mastery and growth towards college readiness, and practices data driven instruction based on assessment * Research-based Instructional Practices (Methods and Time): * Develops own and teachers’ knowledge of best practices in instructional methods and coaches teachers on how to match particular strategies to gaps in student mastery Develop teachers to provide rigorous and high-quality instruction and support School Leader in planning, implementing, and enabling systems of the Academic Strategies Pyramid. * Data Analysis (Data-driven Instruction and Progress Monitoring): * Lead data-driven instruction. Coach teachers to determine how data aligns to end-of-year goals; break-out data to analyze how different student groups are performing; determine what data indicates about areas of student mastery and growth; and identify specific instructional actions and adjustments to fill students’ knowledge and skill gaps within an appropriate timeline * Teacher Instructional Development (Instructional Coaching, Content Teams, and Workshops): * Provides high-quality instructional coaching with frequent and scheduled teacher observations, actionable and bite-sized feedback, and accountability for adjustment in practice * Coaches emerging leaders on their instructional coaching practice * May lead or coach others who lead department/content/grade-level meetings that focus on planning for, and norming on, instruction and culture, practicing instructional strategies, and progress monitoring the department/content/grade level * Recommends to the School Leader what school-wide professional development will be the highest leverage in improving student results; lead engaging, actionable, adult-learning workshops; and hold staff accountable for implementation of the workshop practices Physical, Mental and Environmental Demands Physical: Ability to navigate school and classroom settings. Ability to access and utilize technology. Occasional lifting/carrying of equipment 1-20 lbs. Physical agility to move self in various positions in order to execute duties effectively, which may include kneeling, walking, pushing/pulling, squatting, twisting, turning, bending, stooping and reaching overhead. Mental: Stress of deadlines and normal work standards, ability to analyze problems and generate alternatives, work with interruptions, concentrate for long periods of time, read, calculate, perform routine math problems, memorize and recall objects and people. Environmental: School and classroom environment subject to constant interruptions and distractions. Adhere to KIPP’s health and safety guidelines as outlined by the CDC, CDE, and public health agencies’ recommendations. Classification This is a full-time, exempt position on a full school year calendar cycle, located at our school sites. About KIPP Public Schools Northern California We are a thriving nonprofit network of free, public charter schools open to all students. Together with families and communities, we create joyful, academically excellent schools that prepare students with the skills and confidence to pursue the paths they choose—college, career, and beyond—so they can lead fulfilling lives and build a more just world. We value the dedication, hard work, and passion that our teachers bring each day. KIPP Northern California supports you with professional development, coaching, and collaboration. We offer competitive pay and benefits that reflect the appreciation we have for our teachers and their dedication to students Our student community consists of over 7,000 elementary, middle, and high school students in East Palo Alto, Oakland, San Francisco, San Lorenzo, San Jose, and Redwood City, and Stockton. 79% qualify for free or reduced price lunch, 23% are multilingual learners, and 10% have special needs. We strive to cultivate a representative team of teachers and leaders that reflect our students’ diversity Compensation We are dedicated to you and your family's well-being! KIPP offers a competitive salary as well as a comprehensive benefits package including medical, dental, vision, and transportation benefits. We benchmark annually against school districts and charter schools in the regions where we operate, to offer competitive salaries.The salary range for this position is:We benchmark annually against school districts and charter schools in the regions where we operate, to offer competitive salaries.The salary range for this position is: Content Specialist: between $92,000 - $102,000 (Bay Area) , $90,000 - $99,000 (Stockton) Assistant Principal: between $102,000 - $125,000 (Bay Area), $99,000 - $121,000 (Stockton) How to Apply Please submit a cover letter and resume by clicking apply on this page. Questions? Email teach@kippnorcal.org ## Additional Information All your information will be kept confidential according to EEO guidelines.", "summaryDescription" : "Assistant Principal - High School at KIPP Public Schools Northern California. Skills: Instructional Leadership, School Leadership, Student Outcomes. Support school vision and goals. Mobilize teachers to achieve goals", "postedDate" : "2026-06-15T21:27:22.000", "createdAt" : "2026-06-16T01:34:40.923", "lastUpdated" : "2026-06-16T13:32:57.077", "ingestTimestamp" : "2026-06-16T01:34:40.923", "mongoId" : "6a30735ff292fd229c001a7c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 92000, "salaryAnnualMax" : 102000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Leadership", "Instructional Leadership", "School Leadership", "Student Outcomes", "Performance Management", "Instructional planning", "Instructional strategies", "Pedagogy", "School-wide academic standards", "State assessments", "Child development", "California teaching credential", "Out-of-state equivalent credential" ], "skillCount" : 14, "jobCategory" : "education", "jobSubcategory" : "support", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.98 }, { "id" : "6a1614ed58b93c861e8d8777", "title" : "High School Principal", "industry" : "Education", "salary" : { "min" : 105000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for a High School Principal in Sugar Land, Texas, adjusted for a manager seniority level within the Education industry." }, "location" : "TEXAS-SUGAR LAND-AUSTIN HIGH SCHOOL", "locations" : [ "TEXAS-SUGAR LAND-AUSTIN HIGH SCHOOL", "
AUSTIN HIGH SCHOOL (7)
3434 PHEASANT CREEK DRIVE
SUGAR LAND, 77478

" ], "certifications" : [ "Texas Mid-Management or Principal Certification", "Advancing Educational Leadership (AEL) certificate", "Instructional Leadership Development (ILD or ILT)", "T-TESS Certification" ], "timestamp" : "2026-06-15T08:00:45.702", "fingerprint" : "29b467751a4dfb492d7e3d0bb914b56e3cdcdfe293e1c2b9ee09ae6696774d39", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa210.taleo.net/careersection/ex/jobdetail.ftl?job=191944", "externalId" : "191944", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sugar Land", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.6196787,-95.6349463" } ], "locationText" : "Sugar Land, Texas, United States", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Instructional leadership", "School management", "Personnel management", "Fiscal management", "Administrative management", "Facility management" ], "hardSkillsList" : [ "Curriculum and instruction", "Instructional program evaluation", "Teaching effectiveness evaluation", "Personnel management", "Campus function coordination", "Policy implementation", "Data interpretation" ], "softSkillsList" : [ "Leadership", "Public relations", "Interpersonal skills" ], "hardSkills" : [ { "name" : "Curriculum and instruction", "level" : "intermediate" }, { "name" : "Instructional program evaluation", "level" : "intermediate" }, { "name" : "Teaching effectiveness evaluation", "level" : "intermediate" }, { "name" : "Personnel management", "level" : "intermediate" }, { "name" : "Campus function coordination", "level" : "intermediate" }, { "name" : "Policy implementation", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Public relations" }, { "name" : "Interpersonal skills" } ], "majorSkills" : "Educational leadership, Campus improvement, Staff development", "majorSkillsList" : [ "Educational leadership", "Campus improvement", "Staff development" ], "coreResponsibilities" : "Define school vision and mission, Provide educational leadership, Ensure high standards, Ensure compliance with district policies, Perform administrative duties, Assume administrative responsibility, Develop Campus Improvement Plan, Implement Response to Intervention, Direct staff development, Oversee discipline management, Analyze data, Interpret available data, Address school and community needs, Communicate with students, staff, parents, Develop plans, Resolve conflicts, Maintain positive culture, Establish parent involvement techniques, Establish community involvement techniques, Interview school staff, Select school staff, Evaluate school staff, Grow school staff, Recommend termination decisions, Recommend suspension decisions, Recommend transfer decisions, Recommend promotion decisions, Recommend renewal decisions, Recommend non-renewal decisions, Define staff performance expectations, Oversee expenditures, Maintain fiscal control, Report financial information, Manage school facilities, Coordinate facility maintenance, Ensure safe learning environment, Supervise faculty, Supervise staff, Hire employees, Train employees, Assign work, Direct work, Appraise performance, Reward employees, Discipline employees, Address complaints, Resolve problems", "teamCollaboration" : "Campus Based Leadership Team", "domainKnowledge" : "State accountability systems; Federal accountability systems; Response to Intervention; T-TESS certification", "domainList" : [ "state-accountability-systems", "federal-accountability-systems", "response-to-intervention", "t-tess-certification" ], "domainSpecificKnowledge" : [ "State accountability systems", "Federal accountability systems", "Response to Intervention", "T-TESS certification" ], "communicationSkills" : "Public relations", "continuousLearning" : "Professional development attendance", "problemSolvingSkills" : "Data interpretation", "specialRequirements" : "Occasional walking, standing, sitting, Bending, stooping, kneeling, Crouching, crawling, Lifting less than 40 pounds, Use hands to finger, handle, feel, Reach with hands, Talk or hear, Close vision, Color vision, Adjust focus, Occasional irregular hours, Maintain emotional control, Travel may be required", "qualificationsBasic" : "Master's degree, Valid Texas Mid-Management or Principal Certification, Minimum 3 years administrative experience, Minimum 2 years classroom teaching experience", "qualificationsPreferred" : "Advancing Educational Leadership (AEL) certificate, Instructional Leadership Development (ILD or ILT) obtained within 3 months, Board Approved T-TESS Certification obtained within 3 months", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Job Overview The Principal will define the vision and mission of the school, provide strong educational leadership to ensure high standards of instruction; ensure compliance with FBISD district policies and perform related district-wide administrative duties as required and/or assigned. Position Description Essential Duties and Responsibilities Instructional Leadership and School Management Assume administrative responsibility and instructional leadership for the campus Develop, review, revise, and continuously update the Campus Improvement Plan each year, with the assistance of the Campus Based Leadership Team Demonstrate thorough understanding of state and federal accountability systems Implement, communicate, and monitor Response to Intervention expectations to staff, parents, and students Direct the development and implementation of campus specific staff development Oversee and monitor a structured discipline management School/Community Relations Analyze and interpret available data to address needs of school and community Communicate effectively with students, staff, parents and other system administrators to share information, develop plans, resolve conflicts, and maintain a positive culture and climate Establish techniques to ensure parent and community involvement Personnel Management Interview, select, evaluate, and grow high quality school staff Recommend to the Superintendent/Asst. Superintendent decisions regarding termination, suspension, transfer, promotion, renewal or non-renewal of employees assigned to the campus Define expectations for staff performance regarding instructional strategies, classroom management and communication with the public Fiscal, Administrative and Facility Management Oversee expenditures, maintain fiscal control based on documented program needs, and accurately report financial information Manage the use of and coordinate the maintenance of school facilities and grounds to ensure a clean, orderly and safe learning environment Supervisory Responsibilities Carries out supervisory responsibilities for the faculty and staff of the assigned campus in accordance with the District’s policies and applicable laws Responsibilities include interviewing, hiring, and training employees Planning, assigning, and directing work Appraising performance Rewarding and disciplining employees Addressing complaints and resolving problems. Qualification Requirements To perform this job successfully, an individual must be able to perform each of the above essential duties satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or abilities, required unless otherwise stated as preferred. Reasonable accommodations may be made to enable individuals with disabilities to perform the essentials functions. Master's degree Valid Texas Mid-Management or Principal Certification Advancing Educational Leadership (AEL) certificate or its equivalent Instructional Leadership Development (ILD or ILT) or must be obtained within 3 months of start date as designated by the Department of School Leadership Board Approved T-TESS Certification or must be obtained within 3 months of start date as designated by the Department of School Leadership Minimum of 3 years of administrative experience as an assistant principal, associate principal or dean of instruction Minimum of 2 years of successful classroom teaching experience Possesses a moral and ethical compass Demonstrates a heart and passion for leadership Working knowledge of curriculum and instruction Ability to evaluate instructional program and teaching effectiveness Ability to manage personnel Ability to coordinate campus functions Ability to implement policy and procedures Ability to interpret data Strong organizational, communication, public relations, and interpersonal skills Physical Requirements/Working Conditions The work environment characteristics and physical demands described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Work is performed in classrooms, offices, work stations and meeting rooms. The position requires occasional walking, standing, sitting, bending, stooping, kneeling, crouching, crawling, and lifting/carrying work related items weighing less than 40 pounds, such as books, papers and presentation materials. The employee is regularly required to use hands to finger, handle, or feel objects, tools, or controls; reach with hands and arms; and talk or hear. Specific vision abilities required by this job include close vision, color vision, and the ability to adjust focus. Attendance at conferences and professional development is required. Work involves everyday risks and discomforts which require normal safety precautions when operating equipment or performing job duties. May work prolonged or irregular hours and must be able to maintain emotional control under stress. Additional Information Travel may be required to attend district and/or state meetings and conferences and school-related events. TEXAS-SUGAR LAND", "summaryDescription" : "High School Principal. Skills: Educational leadership, Campus improvement, Staff development. Define school vision and mission. Provide educational leadership", "createdAt" : "2026-06-14T02:11:16.248", "lastUpdated" : "2026-06-15T08:00:45.702", "ingestTimestamp" : "2026-06-14T02:11:16.248", "mongoId" : "6a1614ed58b93c861e8d8777", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 105000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Curriculum and instruction", "Instructional program evaluation", "Teaching effectiveness evaluation", "Personnel management", "Campus function coordination", "Policy implementation", "Data interpretation", "Leadership", "Public relations", "Interpersonal skills", "Educational leadership", "Campus improvement", "Staff development", "Instructional leadership", "School management", "Fiscal management", "Administrative management", "Facility management", "State accountability systems", "Federal accountability systems", "Response to Intervention", "T-TESS certification", "Texas Mid-Management or Principal 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"workday", "language" : "en", "applyUrl" : "https://sanofi.wd3.myworkdayjobs.com/SanofiCareers/job/Suzhou-Jiangsu/R-D---Intrepide-Principal-Scientist-I--Biologics-Discovery---Innovation---SZ_R2859783", "externalId" : "R2859783", "industryFunction" : { }, "locationPoint" : "35.8617,104.1954", "structuredLocations" : [ { "city" : "Suzhou", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "31.3111230,120.6212881" } ], "locationText" : "Suzhou, China", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Antibody discovery, Biologics discovery, Biologics engineering, Technology platforms, Antigen design, Recombinant protein design, Hapten conjugation, Cell-based immunization, Antibody discovery platforms, Display screening, Antibody formats, Single cell cloning, Bispecific antibodies, Multispecific antibodies, Antibody engineering, Affinity maturation, Humanization, Liability assessment, AI-driven screening, Machine learning, Automated workflows, Phage display, Yeast display, Ribosome display, Hybridoma technology", "professionalSkills" : [ "Technical leadership", "Program delivery", "Scientific execution", "Strategic execution", "Scientific insights", "Program milestones", "Discovery lead", "Hit identification", "Lead selection", "Program objectives", "Success criteria", "Milestone plans", "Discovery workflows", "Therapeutic pipelines", "Discovery platform", "Target biology", "Program requirements", "External landscape", "Discovery field", "Screening strategies", "Selection strategies", "Multi-target engagement", "Emerging modality", "Format innovation", "CRO partnerships", "Project scopes", "Quality standards", "Operational efficiency", "Scientific output", "Internal stakeholders", "External discovery", "Technical challenges", "Operational challenges", "Performance reviews", "Scientific standards", "Optimization", "Innovation", "Developable candidates", "Candidate progression", "Computational screening", "Laboratory automation" ], "hardSkillsList" : [ "Immunology", "Biochemistry", "Bioengineering", "Antigen engineering", "Functional screening", "Lead nomination", "Developability optimization" ], "softSkillsList" : [ "Leadership", "Mentorship" ], "hardSkills" : [ { "name" : "Immunology", "level" : "intermediate" }, { "name" : "Biochemistry", "level" : "intermediate" }, { "name" : "Bioengineering", "level" : "intermediate" }, { "name" : "Antigen engineering", "level" : "intermediate" }, { "name" : "Functional screening", "level" : "intermediate" }, { "name" : "Lead nomination", "level" : "intermediate" }, { "name" : "Developability optimization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentorship" } ], "majorSkills" : "Biologics Discovery, Antibody Discovery, CRO Management, Platform Expertise", "majorSkillsList" : [ "Biologics Discovery", "Antibody Discovery", "CRO Management", "Platform Expertise" ], "coreResponsibilities" : "Serve as discovery lead or co-lead on critical, Oversee antigen design and immunization strategy, Oversee hit identification, screening, and lead selection, Design antigen engineering strategies, Execute antigen engineering strategies, Define clear program objectives, Define success criteria, Define milestone plans, Oversee hybrid discovery workflows, Integrate novel antibody technologies into therapeutic pipelines, Resolve bottlenecks to maintain program momentum, Provide authoritative technical leadership across antibody discovery platforms, Lead single cell cloning workflows campaigns, Optimize single cell cloning workflows, Guide teams on scientific applicability and limitations of, Scan external landscape for breakthrough technologies, Lead discovery campaigns for bispecific and multispecific antibodies, Apply specialized screening and selection strategies, Evaluate emerging modality-specific discovery approaches, Implement emerging modality-specific discovery approaches, Strategically coordinate external CRO partnerships, Define project scopes for CROs, Define deliverables for CROs, Define quality standards for CROs, Define timelines for CROs, Serve as primary interface between internal stakeholders and, Ensure seamless communication with external discovery resources, Ensure alignment of objectives with external discovery resources, Resolve technical or operational challenges with external discovery, Conduct regular performance reviews of CRO partners, Drive continuous improvement with CRO partners, Apply antibody engineering expertise to advance discovery leads, Champion adoption of innovative approaches, Champion AI-driven screening, Champion machine learning-assisted design, Champion automated workflows", "teamCollaboration" : "Cross-functional teams; External CRO resources; External discovery partners; Internal scientific capabilities; CRO deliverables; External partner commitments", "projectManagementSkills" : [ "Program management", "Project management" ], "domainKnowledge" : "Biologics discovery; Antibody discovery; Oncology; Immunology; Ophthalmology; CNS; Antibody modalities; Therapeutic pipelines", "domainList" : [ "biologics-discovery", "antibody-discovery", "oncology", "immunology", "ophthalmology", "cns", "antibody-modalities", "therapeutic-pipelines" ], "domainSpecificKnowledge" : [ "Biologics discovery", "Antibody discovery", "Oncology", "Immunology", "Ophthalmology", "CNS", "Antibody modalities", "Therapeutic pipelines" ], "communicationSkills" : "Translate complex discovery science", "innovationCreativity" : "Emerging biologics technologies; Innovative approaches; Transformative approaches; AI-driven screening; Machine learning-assisted design; Automated workflows", "problemSolvingSkills" : "Proactive resolution of technical or operational challenges; Creative problem-solving", "outcomesObjectives" : "Accelerated program delivery; Tangible program milestones; Critical development milestones; Streamline and accelerate discovery-to-candidate progression", "qualificationsBasic" : "5+ years antibody discovery, Ph.D. in Immunology, Biochemistry, Bioengineering, Deep, hands-on expertise in at least two of the following discovery platforms: phage display, yeast display, ribosome display, single cell cloning, or hybridoma technology, Proven experience in antigen design and immunization strategy, Hit identification and lead selection capabilities, Skilled and experienced in leading or co-leading cross-functional discovery teams", "qualificationsPreferred" : "Extensive industrial or advanced academic research experience, Proven experience in bispecific/multispecific antibody discovery, Nanobody/VHH programs experience, Hands-on experience with bispecific/multispecific antibody discovery formats, Nanobody/VHH discovery workflows experience, Working knowledge of antibody engineering disciplines", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "**Principal Scientist, Biologics Discovery & Innovation** **Location:** Suzhou, China **Position Summary** We are seeking an accomplished Principal Scientist with broad biologics knowledge and technical leadership expertise to drive global R&D projects through internal–CRO hybrid models. In this role, you will be a subject-matter expert for biologics discovery, engineering, and relevant technology platforms, validating new approaches and ensuring accelerated program delivery in areas such as oncology, immunology, ophthalmology, or CNS. Success requires managing multidisciplinary teams and external resources, applying advanced scientific and project skills to validate and co-lead biologics programs from concept to key milestones. This is a unique opportunity to operate at the intersection of scientific excellence and strategic execution. You will apply deep domain expertise to evaluate and champion emerging biologics technologies, translating scientific insights into tangible program milestones. Success in this role requires the ability to orchestrate multidisciplinary internal teams alongside external CRO resources, driving biologics programs from early concept through critical development milestones with rigor, agility, and collaborative leadership. **Key Responsibilities** **1\\. Antibody Discovery Program Leadership** * Serve as discovery lead or co-lead on critical antibody programs, overseeing the full arc from antigen design and immunization strategy through hit identification, screening, and lead selection. * Design and execute antigen engineering strategies—including recombinant protein design, hapten conjugation, and cell-based immunization approaches—to maximize the quality and diversity of immune responses. * Define clear program objectives, success criteria, and milestone plans to align cross-functional stakeholders and external discovery partners. * Oversee hybrid discovery workflows (internal + external) that integrate novel antibody technologies into therapeutic pipelines, proactively identifying and resolving bottlenecks to maintain program momentum. **2\\. Discovery Platform Expertise** * Provide authoritative technical leadership across a broad range of antibody discovery platforms, including display screening for diverse antibody formats. * Lead and optimize single B cell cloning workflows campaigns, ensuring robust hit identification and efficient progression to lead candidates. * Guide teams on the scientific applicability, limitations, and optimal deployment of each discovery platform within the context of specific target biology and program requirements. * Stay at the forefront of the discovery field, continuously scanning the external landscape for breakthrough technologies and methodologies that could accelerate or differentiate the pipeline. **3\\. Advanced Antibody Modalities** * Lead discovery campaigns for bispecific and multispecific antibodies, applying specialized screening and selection strategies tailored to complex, multi-target engagement requirements. * Evaluate and implement emerging modality-specific discovery approaches, ensuring the organization remains at the cutting edge of antibody format innovation. **4\\. CRO Management & Hybrid Workflow Execution** * Strategically coordinate external CRO partnerships—defining project scopes, deliverables, quality standards, and timelines—to maximize operational efficiency and scientific output across discovery programs. * Serve as the primary interface between internal stakeholders and external discovery resources, ensuring seamless communication, alignment of objectives, and proactive resolution of technical or operational challenges. * Conduct regular performance reviews of CRO partners, driving continuous improvement and ensuring deliverables consistently meet internal quality and scientific standards. **5\\. Engineering-Supported Optimization & Innovation** * Apply antibody engineering expertise—including affinity maturation, humanization, and liability assessment—as a supporting capability to advance discovery leads toward developable candidates. * Champion the adoption of innovative and transformative approaches, including AI-driven screening, machine learning-assisted design, and automated workflows, to meaningfully streamline and accelerate discovery-to-candidate progression. **Qualifications** **Educational Background & Experience** * Ph.D. in Immunology, Biochemistry, Bioengineering, or a closely related discipline; extensive industrial or advanced academic research experience strongly preferred. * 5+ years of experience in antibody discovery, with demonstrated primary expertise in display technologies, B cell-based discovery, hit identification, and lead selection. * Proven experience in bispecific/multispecific antibody discovery and/or nanobody/VHH programs strongly preferred. * Demonstrated success managing complex, multi-stakeholder discovery programs, ideally involving CRO partnerships in a global and cross-cultural context. **Technical & Scientific Expertise — Discovery-Primary** * Primary (Required): Deep, hands-on expertise in at least two of the following discovery platforms: phage display, yeast display, ribosome display, single B cell cloning, or hybridoma technology. * Primary (Required): Proven experience in antigen design and immunization strategy, with a track record of generating high-quality, diverse antibody hits against challenging targets. * Primary (Required): Strong hit identification and lead selection capabilities, including functional screening design, triage strategies, and lead nomination criteria. * Advanced Modalities (Strongly Preferred): Hands-on experience with bispecific/multispecific antibody discovery formats and/or nanobody/VHH discovery workflows. * Supporting (Complementary): Working knowledge of antibody engineering disciplines—affinity maturation, humanization, liability engineering, and developability optimization—to support lead progression. * Proven ability to critically evaluate, validate, and implement new discovery platforms or methodologies, consistently balancing scientific rigor with practical development timelines. * Strong track record of scientific contributions, including peer-reviewed publications, patents, or significant internal program milestones demonstrating creative problem-solving in antibody discovery. **Program & Collaboration Skills** * Skilled and experienced in leading or co-leading cross-functional discovery teams, effectively aligning internal scientific capabilities with CRO deliverables and external partner commitments. * Strong organizational and project management abilities, with a consistent record of ensuring discovery milestones are met, risks are proactively managed, and resources are efficiently deployed. * Exceptional communicator who can fluently translate complex discovery science into clear, actionable plans for diverse stakeholders—including bench scientists, project managers, and senior leadership. **Innovation & Mentorship** * Adept at identifying and working with novel solutions—such as AI-based antigen design, computational screening, and laboratory automation—to meaningfully accelerate discovery programs. * Deeply committed to developing scientific talent, generously sharing discovery expertise, and cultivating a team culture defined by continuous innovation, intellectual openness, and collaborative excellence. **** # Pursue _progress_ , discover _extraordinary_ Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people. At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity. Watch our [ALL IN video](https://www.youtube.com/watch?v=SkpDBZ-CJKw&t=67s) and check out our Diversity Equity and Inclusion actions at [sanofi.com](https://www.sanofi.com/en/our-responsibility/equality-and-inclusiveness)!", "summaryDescription" : "Principal Scientist, Biologics Discovery & Innovation at Sanofi. Skills: Biologics Discovery, Antibody Discovery, CRO Management, Platform Expertise. Serve as discovery lead or co-lead on critical. Oversee antigen design and immunization strategy", "postedDate" : "2026-06-10T13:47:56.895", "createdAt" : "2026-06-11T13:47:56.882", "lastUpdated" : "2026-06-12T14:14:54.685", "ingestTimestamp" : "2026-06-11T13:47:56.882", "mongoId" : "6a2a60b674d8ee00a062058c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://sanofi.wd3.myworkdayjobs.com/SanofiCareers/job/Suzhou-Jiangsu/R-D---Intrepide-Principal-Scientist-I--Biologics-Discovery---Innovation---SZ_R2859783", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Immunology", "Biochemistry", "Bioengineering", "Antigen engineering", "Functional screening", "Lead nomination", "Developability optimization", "Leadership", "Mentorship", "Biologics Discovery", "Antibody Discovery", "CRO Management", "Platform Expertise", "Technical leadership", "Program delivery", "Scientific execution", "Strategic execution", "Scientific insights", "Program milestones", "Discovery lead", "Hit identification", "Lead selection", "Program objectives", "Success criteria", "Milestone plans", "Discovery workflows", "Therapeutic pipelines", "Discovery platform", "Target biology", "Program requirements", "External landscape", "Discovery field", "Screening strategies", "Selection strategies", "Multi-target engagement", "Emerging modality", "Format innovation", "CRO partnerships", "Project scopes", "Quality standards", "Operational efficiency", "Scientific output", "Internal stakeholders", "External discovery", "Technical challenges", "Operational challenges", "Performance reviews", "Scientific standards", "Optimization", "Innovation", "Developable candidates", "Candidate progression", "Computational screening", "Laboratory automation", "Program management", "Project management", "Biologics discovery", "Antibody discovery", "Oncology", "Ophthalmology", "CNS", "Antibody modalities" ], "skillCount" : 62, "jobCategory" : "engineering", "seniorityLevel" : "senior", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotechnology" }, { "id" : "6a2c5dd574d8ee00a08dee3f", "title" : "Scientist, Formulations", "company" : "MBX Biosciences", "industry" : "Biotechnology", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Scientist, Formulations in the Biotech industry in Indianapolis, United States, adjusted for company size and full-time employment." }, "location" : "Indianapolis, Indiana, United States", "locations" : [ "Indianapolis", "Indiana", "United States" ], "timestamp" : "2026-06-15T00:07:10.282", "fingerprint" : "2e3f344d7f5728a3f36cfdf8880df5ad27a9dd2a53df1ca690c15dda55db1f0e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://mbxbio.com/job-details/?gh_jid=5257565008", "externalId" : "5257565008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Indianapolis", "state" : "Indiana", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.7683331,-86.1583502" } ], "locationText" : "Indianapolis, Indiana, United States", "domainKnowledge" : "Peptide therapeutics; Drug product strategy", "domainList" : [ "peptide-therapeutics", "drug-product-strategy" ], "domainSpecificKnowledge" : [ "Peptide therapeutics", "Drug product strategy" ], "communicationSkills" : "Technical documentation; Regulatory submissions", "documentationSkills" : "Technical memos; Study protocols; GMP documentation; Quality documentation; Regulatory submissions", "problemSolvingSkills" : "Troubleshooting; Root cause analysis; Design of experiments", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Position Summary MBX is seeking a Formulation Development Scientist to join the Drug Product team and help advance our peptide therapeutic pipeline. Reporting to the Associate Director, Formulation Development, this role provides hands on technical support across drug product formulation, process development, and manufacturing from early development through clinical and commercial readiness. The Formulation Development Scientist will collaboratively support formulation development activities in lab as well as partnering closely with internal CMC, Regulatory, Program teams, and external CDMOs and CROs. This role is ideal for a motivated scientist who thrives in a fast paced, collaborative environment and enjoys solving complex technical challenges to enable successful drug development. The successful candidate will contribute to the design, optimization, and execution of robust, scalable drug product formulation; review data generated at CDMOs; support technology transfer and GMP manufacturing. This individual will also play a key role in preparing regulatory ready CMC documentation and supporting global regulatory submissions.This is a high impact opportunity to shape drug product strategy, influence development decisions, and help bring innovative peptide therapies to patients. Key Responsibilities Contribute to small scale drug product formulation and process development on site for MBX’s peptide therapeutics as needed. Perform a range of routine and non-routine analyses of API and Drug Product for MBX’s peptide portfolio using various pharmaceutical analysis techniques. Perform hands-on laboratory work including execution of chromatographic, and electrophoretic assays (e.g., RP-HPLC, SEC, IEX, CE-SDS, icIEF). Support process optimization studies, including experimental design and data interpretation, to enhance robustness and scale‑up performance; contribute to process transfer to manufacturing partners. Contribute to CMC and program teams, including participation CDMO/CRO study design and data review as needed. Provide technical support in troubleshooting and investigations, including root cause analysis and design of experiments to address process or manufacturing challenges. Author technical memos, study protocols, reports, and relevant GMP and quality documentation. Contribute to the authoring and review of drug product–related sections of regulatory submissions (e.g., INDs, NDAs, BLAs, MAAs), and support responses to Health Authority questions. Support the development and integration of drug/device combination products, working cross‑functionally to ensure technical alignment and regulatory compliance. Perform other duties as assigned. Education and an obesity portfolio that includes MBX 4291 in Phase 1 development and MBX 5765 in preclinical development, as well as additional discovery candidates. The Company is based in Carmel, Indiana and Burlington, Massachusetts. To learn more, please visit the Company website at www.mbxbio.com and follow it on LinkedIn. EEO Statement: MBX Biosciences is an Equal Opportunity Employer and is committed to treating all applicants fairly without discrimination. We welcome applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law.", "summaryDescription" : "Scientist, Formulations at MBX Biosciences", "postedDate" : "2026-06-12T21:48:01.768", "createdAt" : "2026-06-12T21:48:01.768", "lastUpdated" : "2026-06-15T00:07:10.282", "ingestTimestamp" : "2026-06-12T21:48:01.768", "mongoId" : "6a2c5dd574d8ee00a08dee3f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Peptide therapeutics", "Drug product strategy" ], "skillCount" : 2, "jobCategory" : "other", "jobSubcategory" : "cmc", "dataQualityScore" : 0.7777778, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotechnology" }, { "id" : "6a2db59674d8ee00a0c92b5f", "title" : "Formulation Technician", "company" : "Baxter", "industry" : "Healthcare", "salary" : { "min" : 44000.0, "max" : 44000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Marion, North Carolina", "locations" : [ "Marion, North Carolina", "United States of America" ], "timestamp" : "2026-06-16T03:38:16.089", "fingerprint" : "6af753a0ba45c1b7796ba5dc9f6d24dd66f3efd181dc37cd498d0fbb45b35b00", "source" : "workday", "language" : "en", "applyUrl" : "https://baxter.wd1.myworkdayjobs.com/baxter/job/Marion-North-Carolina/Formulation-Technician--6-30am---6-30pm-_JR-201335-1", "externalId" : "JR - 201335", "industryFunction" : { }, "locationPoint" : "32.41736,-88.64782", "structuredLocations" : [ { "city" : "Marion", "state" : "North Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.6841022,-82.0091028" } ], "locationText" : "Marion, North Carolina, United States", "employmentType" : "FULL_TIME", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**This is where** your work makes a difference. At Baxter, we believe every person—regardless of who they are or where they are from—deserves a chance to live a healthy life. It was our founding belief in 1931 and continues to be our guiding principle. We are redefining healthcare delivery to make a greater impact today, tomorrow, and beyond. Our Baxter colleagues are united by our Mission to Save and Sustain Lives. Together, our community is driven by a culture of courage, trust, and collaboration. Every individual is empowered to take ownership and make a meaningful impact. We strive for efficient and effective operations, and we hold each other accountable for delivering exceptional results. Here, you will find more than just a job—you will find purpose and pride. Job Description ## Your Role at Baxter **This is where my hands make life-sustaining products** You are driven by the knowledge that the products you help make saves and sustain lives. You can move quickly, address questions, and encourage teammates, all while getting quality products out on time. You are calm, positive, and a key part of a fast-paced environment that emphasizes camaraderie and teamwork. As a **Formulation Technician** **,** you are happiest when you are moving, and we will not disappoint! Baxter is known for its speed and high-quality product. Our manufacturing operations are around-the-clock to meet the needs of our customers. Our high-caliber talent works through the challenges at hand while pushing toward meeting client order needs. Different shift assignments allow for flexibility and safety. ## **Your team** Baxter is focused on saving and sustaining lives by manufacturing high-quality products. We strive to create quality products for our customers each day. Delivering life-saving products is about getting them right, and attention to detail is how we make sure we meet that challenge. We are a team that supports each other throughout each shift. Working together in a supportive and open culture makes our processes evolve for the better and engages our workforce. You'll be offered extensive training, and the tight-knit working environment within the Manufacturing team means employees get additional training from their direct manager and peers when needed. ## ## **What we offer from Day One:** * Shift flexibility to trade shifts and leverage overtime opportunities * Medical, Dental and Vision coverage * 160 hours of Paid Time Off and Paid Holidays * 401K match * Employee Stock Purchase Program * Paid Parental Leave * Tuition Reimbursement ## ## **What You 'll Be Doing** The Formulation Technician is responsible for the strategic planning of the assigned maintenance department. Provides leadership within the maintenance organization and leads the organization’s engineers, supervisors and technicians. Responsible for the area budget and headcount resources. Directs the team to complete projects and programs within boundaries of quality, time and budget. Based on significant technical and managerial expertise, creates a strategy and structure to improve asset availability for the department. Provides technical direction to staff. Fosters an environment of creativity and innovation in completing departmental responsibilities. * Responsible for proper formulation of tanks including weighing, labeling, staging materials with strict adherence to procedures and standardized formulas. * Inspect, clean and re-palletize raw materials received from the warehouse. * Take ownership of Mixing and Tank Rooms to ensure adherence to cGMPs. * Perform routine preventative maintenance in the Mixing Complex. * Promotes a culture of safety in the area. * Investigate, identify, and correct or escalate any inefficiency’s or quality concerns for Mixing equipment and processes. * Generate and implement continuous improvement activities to the Mixing area and process. * Use a powered industrial truck (PIT) to transport staged materials to the assigned mixing tank. * Pump or manually blend raw materials into a chemical solution mixing tank. * Perform and document scheduled cleaning activities which include using a ladder and safety harness to climb into mixing tanks in order to clean the inside of the vessel. * Navigate the computerized Production Operating Management System (POMS) to access, manage and document batch information throughout the entire mixing process. * Obtain samples & perform scheduled quality checks. * Notify the supervisor and take appropriate action if any safety, quality, mechanical or discrepancy issues occur. * Learn, understand and apply rigorous quality standards, Standard Operating Procedures (SOPs) and Current Good Manufacturing Practices (cGMP). * Sustain a clean and safe work area using 6S principles. ## ## **What You 'll Bring** * High School Diploma or GED and must be at least 18 years of age. * One year of manufacturing experience preferred. * CRC (Career Readiness Certification) at the Silver Level preferred. * Basic English written and oral communication skills adequate to communicate with other team members. * Understand verbal and written safety and quality instructions and read and comprehend written work instructions including words and drawings. * Ability to perform basic mathematics. * Possess or be able to obtain PIT Operator Certification. * Basic computer skills. ## ## Physical Requirements * Requires continuous firm grasping and pushing/pulling up to 50 pounds. * Lifting and carrying on average up to 50 pounds continuously and up to 75 pounds occasionally throughout the shift. * Pass the PIT physical. * Normal visual acuity and the ability to distinguish color are necessary. * Occasionally specialized physicals are required when working with certain drug codes. * Must be able to bend/stoop, squat, climb, reach above shoulder level, twist at the neck and twist at the waist frequently throughout the shift and balance and reach at or below shoulder level continuously throughout the shift. We understand compensation is an important factor as you consider the next step in your career. At Baxter, we are committed to equitable pay for all our employees, and we strive to be more transparent with our pay practices. To that end, this position has a pay rate of $44,000.00 annually. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time. **US Benefits at Baxter (except for Puerto Rico)** This is where your well-being matters. Baxter offers comprehensive compensation and benefits packages for eligible roles. Our health and well-being benefits include medical and dental coverage that start on day one, as well as insurance coverage for basic life, accident, short-term and long-term disability, and business travel accident insurance. Financial and retirement benefits include the Employee Stock Purchase Plan (ESPP), with the ability to purchase company stock at a discount, and the 401(k) Retirement Savings Plan (RSP), with options for employee contributions and company matching. We also offer Flexible Spending Accounts, educational assistance programs, and time-off benefits such as paid holidays, paid time off ranging from 20 to 35 days based on length of service, family and medical leaves of absence, and paid parental leave. Additional benefits include commuting benefits, the Employee Discount Program, the Employee Assistance Program (EAP), and childcare benefits. Join us and enjoy the competitive compensation and benefits we offer to our employees. For additional information regarding Baxter US Benefits, please speak with your recruiter or visit our Benefits site: [Benefits | Baxter](https://www.baxter.com/careers/benefits) **Equal Employment Opportunity** Baxter is an equal opportunity employer. Baxter evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status or any other legally protected characteristic. [Know Your Rights: Workplace Discrimination is Illegal](https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) **Reasonable Accommodations** Baxter is committed to working with and providing reasonable accommodations to individuals with disabilities globally. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please click on the [link](https://forms.microsoft.com/Pages/ResponsePage.aspx?id=Nd3GyB-HME-FrGU185glFONjsWP56EBPkq0TvnZuTOFUQk8wUzgwWENFVU5YOFdEOTFEM0pTN0VOVy4u) here and let us know the nature of your request along with your contact information. **Recruitment Fraud Notice** Baxter has discovered incidents of employment scams, where fraudulent parties pose as Baxter employees, recruiters, or other agents, and engage with online job seekers in an attempt to steal personal and/or financial information. To learn how you can protect yourself, review our [Recruitment Fraud Notice](https://jobs.baxter.com/how-to-apply#fraud-notice).", "summaryDescription" : "Formulation Technician at Baxter", "postedDate" : "2026-06-13T19:09:35.438", "createdAt" : "2026-06-14T19:09:35.415", "lastUpdated" : "2026-06-16T03:38:16.089", "ingestTimestamp" : "2026-06-14T19:09:35.415", "mongoId" : "6a2db59674d8ee00a0c92b5f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://baxter.wd1.myworkdayjobs.com/baxter/job/Marion-North-Carolina/Formulation-Technician--6-30am---6-30pm-_JR-201335-1", "salaryAnnualMin" : 44000, "salaryAnnualMax" : 44000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "mid", "dataQualityScore" : 0.7777778, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca5bd74d8ee00a09b7ee8", "title" : "Principal Data Scientist", "company" : "Intellishore", "industry" : "Consulting", "salary" : { "min" : 950000.0, "max" : 1450000.0, "currency" : "DKK", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Denmark, adjusted for executive seniority, biotech industry, and Copenhagen city tier." }, "location" : "Copenhagen", "locations" : [ "Copenhagen" ], "timestamp" : "2026-06-16T00:46:31.765", "fingerprint" : "9488786ac1ba448028ae7190dbf3c956e5ec1dfccd326cf39dd5db85c2c2d3e4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/intellishoredk/jobs/7724568003", "externalId" : "7724568003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Copenhagen", "country" : "Denmark", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "55.6867243,12.5700724" } ], "locationText" : "Copenhagen, Denmark", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Machine learning, Forecasting", "professionalSkills" : [ "Client engagements", "Business critical programs", "Commercial measurement", "Data science workstream", "Methodology development", "Offering development" ], "hardSkillsList" : [ "Machine learning", "Forecasting", "Causal inference", "Measurement" ], "hardSkills" : [ { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Forecasting", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "Measurement", "level" : "intermediate" } ], "majorSkills" : "Machine learning, Forecasting, Causal inference", "majorSkillsList" : [ "Machine learning", "Forecasting", "Causal inference" ], "coreResponsibilities" : "Lead data science workstream on client engagements, Set technical bar on machine learning, Set technical bar on forecasting, Build methods and templates, Mentor and grow data scientists, Mentor and grow data engineers, Shape new offerings, Represent Intellishore externally", "teamCollaboration" : "Client executives; Brand leadership; Leadership team", "domainKnowledge" : "Commercial pharma; Regulated industry; Healthcare; Pharma", "domainList" : [ "commercial-pharma", "regulated-industry", "healthcare", "pharma" ], "domainSpecificKnowledge" : [ "Commercial pharma", "Regulated industry", "Healthcare", "Pharma" ], "communicationSkills" : "Thought leadership; Client conversations", "specialRequirements" : "Right to work in Denmark", "qualificationsBasic" : "8+ years in data science, Machine learning experience, Forecasting experience, Commercial context experience, Marketing context experience, Pricing context experience, Lead senior client-facing engagements, Lead business-critical internal programs, Domain grounding in pharma, Domain grounding in healthcare, Domain grounding in regulated industry", "qualificationsPreferred" : "Understanding MLOps, Experience shaping data offerings, Experience shaping AI offerings, Experience launching data offerings, Experience launching AI offerings, Experience shaping data products, Experience shaping AI products, Experience launching data products, Experience launching AI products, Danish language", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "The problem we're hiring you to solve Commercial pharma is sitting on a measurement problem. Launch decisions, field force deployment, HCP engagement, pricing - most of the value moves before anyone knows what worked, and the standard playbooks weren't built for fragmented channels, privacy constraints, or the causal questions that actually matter to commercial leaders. And the ground keeps moving - AI is rewriting what \"analytics\" even means to a commercial org, and the regulatory and tech stack underneath it all is shifting faster than most teams can absorb. Intellishore works at the sharp end of this. Our commercial pharma practice partners with global top-20 pharma pioneers on data and AI decisions that shape launches, portfolios, and commercial performance. We're hiring a Principal Data Scientist to lead the technical depth of this work — shaping methodology, owning delivery on our most demanding engagements, and building out how we deliver measurements, causal inference, and machine learning in the next generation of our offerings. What you'll actually do Lead the data science workstream on senior client engagements - typically 1-2 concurrent projects, working directly with client executives and brand leadership. Set the technical bar on machine learning and forecasting across our commercial pharma portfolio and build the methods and templates that scale across the practice and into new segments. Mentor and grow a small team of data scientists and engineers. Team size: 10 today, growing to 30. Shape new offerings alongside our leadership - from scoping to pricing to the IP that underpins them. Represent Intellishore externally: Thought leadership, conferences, and senior client conversations where credibility matters. Who you are Must-haves: 8+ years in data science, with meaningful time spent on machine learning and forecasting in commercial, marketing, or pricing contexts. Track record of leading senior client-facing engagements or business-critical internal programs - consulting, in-house commercial analytics, or both. Strong domain grounding in pharma, healthcare, or another regulated industry where commercial measurement is hard. Nice to have: Understanding MLOps at a level where you know what good looks like and can still get your hands dirty when it matters. Experience shaping or launching data/AI offerings, practices, or products. Danish is a plus, not a requirement. Our working language is English. Why Intellishore? We're a boutique of ~100 people across Copenhagen and Zürich, and our commercial pharma stronghold is genuine - not a side bet. That means three things that matter at your level: Real mandate. You'll own the technical direction of a practice, not a single workstream within a larger machine. If you've wanted to shape how a firm approaches machine learning in healthcare, this is the seat. Concrete path. Practice Lead for ML in Commercial Pharma within 1–2 years; Director track over 2–4 years from hire. We'll map it to your ambitions in the first conversation. Compensation. We'll be direct about level, bonus structure, and the full package early in the process. Practicalities Based in Copenhagen. Expect 3-5 days in the office or at the client site. Travel roughly 5% of weeks, primarily within Europe. You must have the right to work in Denmark at the time of application. Apply We read every application. If most of this resonates, but you don't tick every box, apply anyway — we'd rather have the conversation. Reach out to Sofie Freund with questions: sofie.freund@intellishore.dk · +45 93 98 17 27. We interview on a rolling basis.", "summaryDescription" : "Principal Data Scientist at Intellishore. Skills: Machine learning, Forecasting, Causal inference. Lead data science workstream on client engagements. Set technical bar on machine learning", "postedDate" : "2026-06-14T20:09:49.596", "createdAt" : "2026-06-14T20:09:49.596", "lastUpdated" : "2026-06-16T00:46:31.765", "ingestTimestamp" : "2026-06-14T20:09:49.596", "mongoId" : "6a2ca5bd74d8ee00a09b7ee8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Machine learning", "Forecasting", "Causal inference", "Measurement", "Client engagements", "Business critical programs", "Commercial measurement", "Data science workstream", "Methodology development", "Offering development", "Commercial pharma", "Regulated industry", "Healthcare", "Pharma" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a250a9274d8ee00a00a19c3", "title" : "Scientist, Biologics Formulation", "company" : "Varda Space Industries", "industry" : "Biotechnology", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Scientist, Biologics Formulation in El Segundo, United States, adjusted for the aerospace industry and company size." }, "location" : "El Segundo, California, United States", "locations" : [ "El Segundo", "California", "United States" ], "timestamp" : "2026-06-07T20:22:14.077", "fingerprint" : "46e3fa8ef75c2547fee2e54db2c156ec4de573c255be0ecbc229d7a10afe208d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/vardaspace/jobs/7622369003", "externalId" : "7622369003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "El Segundo", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.9170280,-118.4156337" } ], "locationText" : "El Segundo, California, United States", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Python, R, MATLAB", "professionalSkills" : [ "Protein formulation", "Formulation development", "Data management", "Process improvement", "Experimental design" ], "hardSkillsList" : [ "Protein chemistry", "Physical biochemistry", "Analytical characterization", "Liquid handling automation", "Data analysis", "Data visualization" ], "softSkillsList" : [ "Adaptability" ], "hardSkills" : [ { "name" : "Protein chemistry", "level" : "intermediate" }, { "name" : "Physical biochemistry", "level" : "intermediate" }, { "name" : "Analytical characterization", "level" : "intermediate" }, { "name" : "Liquid handling automation", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Adaptability" } ], "majorSkills" : "Biologics Formulation, Protein formulation, Automation", "majorSkillsList" : [ "Biologics Formulation", "Protein formulation", "Automation" ], "coreResponsibilities" : "Execute protein formulation experiments, Prepare high concentration protein formulations, Evaluate formulation stability, Perform routine analytical characterization, Develop automated liquid handling protocols, Program automated equipment workflows, Maintain automated equipment workflows, Troubleshoot technical issues, Implement process improvements, Design plate-based experimental layouts, Maintain electronic laboratory notebook documentation, Organize large datasets, Analyze large datasets, Visualize large datasets, Work independently on assigned projects, Maintain clear communication with team members, Present experimental results, Contribute to technical reports, Contribute to SOPs, Contribute to regulatory documentation", "teamCollaboration" : "Team meetings", "domainKnowledge" : "Protein chemistry; Physical biochemistry; Biopharmaceutical formulation; Solid dosage forms; Liquid dosage forms; High-throughput automation", "domainList" : [ "protein-chemistry", "physical-biochemistry", "biopharmaceutical-formulation", "solid-dosage-forms", "liquid-dosage-forms", "high-throughput-automation" ], "domainSpecificKnowledge" : [ "Protein chemistry", "Physical biochemistry", "Biopharmaceutical formulation", "Solid dosage forms", "Liquid dosage forms", "High-throughput automation" ], "toolProficiency" : [ "Excel", "GraphPad Prism", "Tecan", "Hamilton", "Beckman" ], "communicationSkills" : "Technical reports; SOPs; Regulatory documentation", "documentationSkills" : "Electronic laboratory notebook; Technical writing", "continuousLearning" : "Professional development opportunities", "innovationCreativity" : "Next-generation protein formulation development", "problemSolvingSkills" : "Troubleshoot technical issues", "specialRequirements" : "U.S. persons only", "qualificationsBasic" : "PhD in Pharmaceutical Sciences, Biomaterials, Materials Science, Chemistry, Chemical Engineering, or related discipline, Hands-on experience with protein formulation and characterization techniques, Foundation in protein chemistry and physical biochemistry principles, Proficiency with data analysis tools (Excel, GraphPad Prism, Python, or R), Demonstrated ability to work independently with organizational skills, Experience with electronic lab notebooks and structured data management, Excellent written and verbal communication skills", "qualificationsPreferred" : "Industry experience in biopharmaceutical formulation development, Experience with liquid handling automation platforms, Familiarity with protein crystallization techniques, Knowledge of lyophilization, spray drying, or other solid-state processing methods, Experience in startup or fast-paced R&D environments, Programming experience for data analysis and visualization (Python, MATLAB, or similar)", "workSiteFlexibility" : "Onsite", "rawDescription" : "About Varda Low Earth orbit is open for business. Varda is accelerating the development of commercial space infrastructure, from in-orbit pharmaceutical processing to reliable and economical reentry capsules. From life-saving pharmaceuticals to more powerful fiber optics, there is a world of products used on Earth today that can only be manufactured in space. Varda is accelerating innovation in the orbital economy by creating both the products and infrastructure needed so space can directly benefit life on Earth. Our mission is to expand the economic bounds of humankind. Our team is uniquely suited to accomplishing this goal, with leadership and staff comprised of veterans from SpaceX, Blue Origin, major pharmaceutical companies and Silicon Valley. Varda was founded in January 2021 by Will Bruey and Delian Asparouhov with significant backing from world class investors including Khosla Ventures, Lux Capital, Founders Fund, Caffeinated Capital, General Catalyst, and Also Capital. Varda is headquartered in El Segundo, California, where we have offices and a production facility where our vehicles, equipment, and materials are built, integrated, and tested. Varda also has offices in Washington, DC and Huntsville, AL. Join Varda, and work to create a bustling in-space ecosystem. About This Role Our pharmaceutical team is looking for a highly motivated early-career Scientist to join our Biologics Formulation team. This role offers a unique opportunity to contribute to next-generation protein formulation development while working with cutting-edge high-throughput automation technologies in a fast-paced startup environment. As a Scientist, you will execute and optimize protein formulation protocols across liquid and solid dosage forms, supporting the development of high concentration biologics and advanced systems. You will play a key role in establishing automated workflows and maintaining robust data management practices as the team scales its capabilities. Responsibilities Formulation Development & Execution Execute protein formulation experiments for liquid and solid dosage forms, including excipient screening, pH optimization, and stability assessment Prepare and characterize high concentration protein formulations and evaluate formulation stability under various conditions Support development of advanced formulation Perform routine analytical characterization using techniques such as DLS, DSF, CE, and spectroscopy High-Throughput Automation & Data Management Develop, optimize, and validate automated liquid handling protocols for high-throughput formulation screening Program and maintain automated equipment workflows, troubleshoot technical issues, and implement process improvements Design and execute plate-based experimental layouts for parallel formulation studies Maintain comprehensive electronic laboratory notebook (ELN) documentation with rigorous data integrity standards Organize, analyze, and visualize large datasets from high-throughput experiments using appropriate software tools Collaboration & Communication Work independently on assigned projects while maintaining clear communication with team members Present experimental results and progress updates in team meetings Contribute to technical reports, SOPs, and regulatory documentation Adapt quickly to changing priorities and deliver results within startup timelines Basic Qualifications PhD in Pharmaceutical Sciences, Biomaterials, Materials Science, Chemistry, Chemical Engineering, or related discipline Hands-on experience with protein formulation and characterization techniques Strong foundation in protein chemistry and physical biochemistry principles Proficiency with data analysis tools (e.g., Excel, GraphPad Prism, Python, or R) Demonstrated ability to work independently with strong organizational skills Experience with electronic lab notebooks and structured data management Excellent written and verbal communication skills Preferred Skills And Experience Industry experience in biopharmaceutical formulation development Experience with liquid handling automation platforms (e.g., Tecan, Hamilton, Beckman) Familiarity with protein crystallization techniques Knowledge of lyophilization, spray drying, or other solid-state processing methods Experience in startup or fast-paced R&D environments Programming experience for data analysis and visualization (Python, MATLAB, or similar) What We Offer Opportunity to work at the intersection of biotechnology and space manufacturing Hands-on experience establishing high-throughput formulation capabilities Collaborative team environment with mentorship from senior scientists Professional development opportunities in a rapidly growing company Pay Range Salary range: $100,000 - $140,000/per year This role is on-site in El Segundo, CA Leveling and base salary is determined by job-related skills, education level, experience level, and job performance You will be eligible for long-term incentives in the form of stock options and/or long-term cash awards ITAR Requirements Varda, like all employers, must ensure that its employees working in the United States are lawfully authorized to work in the U. S. Additionally, our employees are exposed to and have access to certain export-controlled items. At present, some of our technology to which employees have access requires a license to be exported to individuals other than “U. S. Persons” as defined in U. S. export regulations. Because our employees are provided access to export-controlled items, our current policy is to only hire “U. S. persons” who are permitted to have access to our technology without an export license. “US person” means: U. S. citizen, U. S. lawful permanent resident, or protected individual as defined by 8 U.S. C. 1324b(a)(3) (i.e., individual admitted to the U. S. as a refugee or granted asylum in the U.S.) Learn more about the ITAR here. Benefits Exciting team of professionals at the top of their field working by your side Equity in a fully funded space startup with potential for significant growth (interns excluded) 401(k) matching (interns excluded) Unlimited PTO (interns excluded) Health insurance, including Vision and Dental Lunch and snacks provided on site every day. Dinners provided twice a week. Maternity / Paternity leave (interns excluded) Varda Space Industries is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, martial status, mental or physical disability, or any other legally protected status. E-Verify Statement Varda Space Industries, Inc. participates in the U. S. Department of Homeland Security E-Verify program. The E-Verify program is an Internet-based employment eligibility verification system operated by the U. S. Citizenship and Immigration Services. Learn more about the E-Verify program. E-Verify Notice Right To Work Notice Read more Read more", "summaryDescription" : "Scientist, Biologics Formulation at Varda Space Industries. Skills: Biologics Formulation, Protein formulation, Automation. Execute protein formulation experiments. Prepare high concentration protein formulations", "postedDate" : "2026-06-07T09:11:08.261", "createdAt" : "2026-06-07T09:11:08.261", "lastUpdated" : "2026-06-07T20:22:14.077", "ingestTimestamp" : "2026-06-07T09:11:08.261", "mongoId" : "6a250a9274d8ee00a00a19c3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Protein chemistry", "Physical biochemistry", "Analytical characterization", "Liquid handling automation", "Data analysis", "Data visualization", "Adaptability", "Biologics Formulation", "Protein formulation", "Automation", "Formulation development", "Data management", "Process improvement", "Experimental design", "Biopharmaceutical formulation", "Solid dosage forms", "Liquid dosage forms", "High-throughput automation", "Excel", "GraphPad Prism", "Tecan", "Hamilton", "Beckman" ], "skillCount" : 23, "jobCategory" : "product", "jobSubcategory" : "product", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotechnology" }, { "id" : "6a24fe1974d8ee00a007fa10", "title" : "Scientist, Biologics Formulation", "company" : "Varda Space Industries", "industry" : "Biotechnology", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Scientist, Biologics Formulation in El Segundo, United States, adjusted for the aerospace industry and company size." }, "location" : "El Segundo, California, United States", "locations" : [ "El Segundo", "California", "United States" ], "timestamp" : "2026-06-07T15:59:36.266", "fingerprint" : "6e391133d29190809402732596d36f217a3cd5c3bb7bee384e9c1706982a0d46", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/vardaspace/jobs/7622369003", "externalId" : "7622369003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "El Segundo", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.9170280,-118.4156337" } ], "locationText" : "El Segundo, California, United States", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Python, R, MATLAB", "professionalSkills" : [ "Protein formulation", "Data management", "Process improvement" ], "hardSkillsList" : [ "Protein chemistry", "Physical biochemistry", "Data analysis", "Data visualization", "Formulation development", "Analytical characterization" ], "hardSkills" : [ { "name" : "Protein chemistry", "level" : "intermediate" }, { "name" : "Physical biochemistry", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Formulation development", "level" : "intermediate" }, { "name" : "Analytical characterization", "level" : "intermediate" } ], "majorSkills" : "Biologics Formulation, High-throughput automation, Data management", "majorSkillsList" : [ "Biologics Formulation", "High-throughput automation", "Data management" ], "coreResponsibilities" : "Execute protein formulation experiments, Screen excipients, Optimize pH, Assess stability, Prepare high concentration protein formulations, Evaluate formulation stability, Support advanced formulation development, Perform routine analytical characterization, Develop automated liquid handling protocols, Optimize automated protocols, Validate automated protocols, Program automated equipment workflows, Maintain automated equipment workflows, Troubleshoot technical issues, Implement process improvements, Design plate-based experimental layouts, Maintain electronic laboratory notebook documentation, Organize large datasets, Analyze large datasets, Visualize large datasets, Present experimental results, Provide progress updates, Contribute to technical reports, Contribute to SOPs, Contribute to regulatory documentation", "teamCollaboration" : "Team meetings", "domainKnowledge" : "Protein formulation; Biologics; Pharmaceutical sciences; Biopharmaceutical formulation; Solid dosage forms; Liquid dosage forms; High concentration biologics; Space manufacturing", "domainList" : [ "protein-formulation", "biologics", "pharmaceutical-sciences", "biopharmaceutical-formulation", "solid-dosage-forms", "liquid-dosage-forms", "high-concentration-biologics", "space-manufacturing" ], "domainSpecificKnowledge" : [ "Protein formulation", "Biologics", "Pharmaceutical sciences", "Biopharmaceutical formulation", "Solid dosage forms", "Liquid dosage forms", "High concentration biologics", "Space manufacturing" ], "toolProficiency" : [ "Excel", "GraphPad Prism", "Tecan", "Hamilton", "Beckman" ], "communicationSkills" : "Verbal communication; Written communication", "documentationSkills" : "Electronic lab notebook; Technical reports; SOPs; Regulatory documentation", "continuousLearning" : "Professional development opportunities", "innovationCreativity" : "Next-generation protein formulation development", "problemSolvingSkills" : "Troubleshoot technical issues", "specialRequirements" : "U.S. person required", "qualificationsBasic" : "PhD in Pharmaceutical Sciences, Biomaterials, Materials Science, Chemistry, Chemical Engineering, or related discipline, Hands-on experience with protein formulation and characterization techniques, Foundation in protein chemistry and physical biochemistry principles, Proficiency with data analysis tools (Excel, GraphPad Prism, Python, or R), Demonstrated ability to work independently with organizational skills, Experience with electronic lab notebooks and structured data management, Excellent written and verbal communication skills", "qualificationsPreferred" : "Industry experience in biopharmaceutical formulation development, Experience with liquid handling automation platforms (Tecan, Hamilton, Beckman), Familiarity with protein crystallization techniques, Knowledge of lyophilization, spray drying, or other solid-state processing methods, Experience in startup or fast-paced R&D environments, Programming experience for data analysis and visualization (Python, MATLAB, or similar)", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Varda Low Earth orbit is open for business. Varda is accelerating the development of commercial space infrastructure, from in-orbit pharmaceutical processing to reliable and economical reentry capsules. From life-saving pharmaceuticals to more powerful fiber optics, there is a world of products used on Earth today that can only be manufactured in space. Varda is accelerating innovation in the orbital economy by creating both the products and infrastructure needed so space can directly benefit life on Earth. Our mission is to expand the economic bounds of humankind. Our team is uniquely suited to accomplishing this goal, with leadership and staff comprised of veterans from SpaceX, Blue Origin, major pharmaceutical companies and Silicon Valley. Varda was founded in January 2021 by Will Bruey and Delian Asparouhov with significant backing from world class investors including Khosla Ventures, Lux Capital, Founders Fund, Caffeinated Capital, General Catalyst, and Also Capital. Varda is headquartered in El Segundo, California, where we have offices and a production facility where our vehicles, equipment, and materials are built, integrated, and tested. Varda also has offices in Washington, DC and Huntsville, AL. Join Varda, and work to create a bustling in-space ecosystem. About This Role Our pharmaceutical team is looking for a highly motivated early-career Scientist to join our Biologics Formulation team. This role offers a unique opportunity to contribute to next-generation protein formulation development while working with cutting-edge high-throughput automation technologies in a fast-paced startup environment. As a Scientist, you will execute and optimize protein formulation protocols across liquid and solid dosage forms, supporting the development of high concentration biologics and advanced systems. You will play a key role in establishing automated workflows and maintaining robust data management practices as the team scales its capabilities. Responsibilities Formulation Development & Execution Execute protein formulation experiments for liquid and solid dosage forms, including excipient screening, pH optimization, and stability assessment Prepare and characterize high concentration protein formulations and evaluate formulation stability under various conditions Support development of advanced formulation Perform routine analytical characterization using techniques such as DLS, DSF, CE, and spectroscopy High-Throughput Automation & Data Management Develop, optimize, and validate automated liquid handling protocols for high-throughput formulation screening Program and maintain automated equipment workflows, troubleshoot technical issues, and implement process improvements Design and execute plate-based experimental layouts for parallel formulation studies Maintain comprehensive electronic laboratory notebook (ELN) documentation with rigorous data integrity standards Organize, analyze, and visualize large datasets from high-throughput experiments using appropriate software tools Collaboration & Communication Work independently on assigned projects while maintaining clear communication with team members Present experimental results and progress updates in team meetings Contribute to technical reports, SOPs, and regulatory documentation Adapt quickly to changing priorities and deliver results within startup timelines Basic Qualifications PhD in Pharmaceutical Sciences, Biomaterials, Materials Science, Chemistry, Chemical Engineering, or related discipline Hands-on experience with protein formulation and characterization techniques Strong foundation in protein chemistry and physical biochemistry principles Proficiency with data analysis tools (e.g., Excel, GraphPad Prism, Python, or R) Demonstrated ability to work independently with strong organizational skills Experience with electronic lab notebooks and structured data management Excellent written and verbal communication skills Preferred Skills And Experience Industry experience in biopharmaceutical formulation development Experience with liquid handling automation platforms (e.g., Tecan, Hamilton, Beckman) Familiarity with protein crystallization techniques Knowledge of lyophilization, spray drying, or other solid-state processing methods Experience in startup or fast-paced R&D environments Programming experience for data analysis and visualization (Python, MATLAB, or similar) What We Offer Opportunity to work at the intersection of biotechnology and space manufacturing Hands-on experience establishing high-throughput formulation capabilities Collaborative team environment with mentorship from senior scientists Professional development opportunities in a rapidly growing company Pay Range Salary range: $100,000 - $140,000/per year This role is on-site in El Segundo, CA Leveling and base salary is determined by job-related skills, education level, experience level, and job performance You will be eligible for long-term incentives in the form of stock options and/or long-term cash awards ITAR Requirements Varda, like all employers, must ensure that its employees working in the United States are lawfully authorized to work in the U. S. Additionally, our employees are exposed to and have access to certain export-controlled items. At present, some of our technology to which employees have access requires a license to be exported to individuals other than “U. S. Persons” as defined in U. S. export regulations. Because our employees are provided access to export-controlled items, our current policy is to only hire “U. S. persons” who are permitted to have access to our technology without an export license. “US person” means: U. S. citizen, U. S. lawful permanent resident, or protected individual as defined by 8 U.S. C. 1324b(a)(3) (i.e., individual admitted to the U. S. as a refugee or granted asylum in the U.S.) Learn more about the ITAR here. Benefits Exciting team of professionals at the top of their field working by your side Equity in a fully funded space startup with potential for significant growth (interns excluded) 401(k) matching (interns excluded) Unlimited PTO (interns excluded) Health insurance, including Vision and Dental Lunch and snacks provided on site every day. Dinners provided twice a week. Maternity / Paternity leave (interns excluded) Varda Space Industries is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, martial status, mental or physical disability, or any other legally protected status. E-Verify Statement Varda Space Industries, Inc. participates in the U. S. Department of Homeland Security E-Verify program. The E-Verify program is an Internet-based employment eligibility verification system operated by the U. S. Citizenship and Immigration Services. Learn more about the E-Verify program. E-Verify Notice Right To Work Notice Read more Read more", "summaryDescription" : "Scientist, Biologics Formulation at Varda Space Industries. Skills: Biologics Formulation, High-throughput automation, Data management. Execute protein formulation experiments. Screen excipients", "postedDate" : "2026-06-07T08:23:54.669", "createdAt" : "2026-06-07T08:23:54.669", "lastUpdated" : "2026-06-07T15:59:36.266", "ingestTimestamp" : "2026-06-07T08:23:54.669", "mongoId" : "6a24fe1974d8ee00a007fa10", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Protein chemistry", "Physical biochemistry", "Data analysis", "Data visualization", "Formulation development", "Analytical characterization", "Biologics Formulation", "High-throughput automation", "Data management", "Protein formulation", "Process improvement", "Biologics", "Pharmaceutical sciences", "Biopharmaceutical formulation", "Solid dosage forms", "Liquid dosage forms", "High concentration biologics", "Space manufacturing", "Excel", "GraphPad Prism", "Tecan", "Hamilton", "Beckman" ], "skillCount" : 23, "jobCategory" : "product", "jobSubcategory" : "product", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotechnology" }, { "id" : "6a306f13f292fd229cfe4e3e", "title" : "Sr Principal Data Scientist", "company" : "Smartsheet", "industry" : "Technology", "salary" : { "min" : 6000000.0, "max" : 9000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Sr Principal Data Scientist in India, adjusted for executive seniority and SaaS industry." }, "location" : "India", "locations" : [ "India" ], "timestamp" : "2026-06-16T12:57:10.373", "fingerprint" : "a47fdd84f1abdd9a6c6bad7c3ae31c23d9dd31bbb39de2f4c75ee09115a7ad98", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/smartsheet/jobs/8007345", "externalId" : "8007345", "industryFunction" : { }, "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "India", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "rawDescription" : "For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is looking for a Sr. Principal Data Scientist to set the technical direction for the ML models and AI sub-agents that drive growth, monetization, efficiency, and retention across the customer lifecycle. You’ll architect the systems, define the modeling and evaluation standards, and shape the roadmap for how Smartsheet uses applied ML and agentic AI to serve millions of customers. The data is unusually rich: petabyte-scale execution data spanning two decades of how real work gets done. You are a recognized technical leader who moves fluidly between architecture, prototype, and production; raises the bar for the data scientists around you; and partners with senior product and engineering leaders to make decisions that compound across the org. You will work primarily with Product and Engineering and will be a part of Smartsheet’s Business Intelligence team. This full-time position reports to the Director of Data Science and is based in Smartsheet’s Bengaluru, India office. You Will: Set the technical direction for how Smartsheet uses applied ML and agentic AI across the customer lifecycle — what gets built, what doesn’t, and what good looks like Architect the systems behind the sub-agents: how they ground themselves in evidence, how risk and confidence are calibrated, how decisions are evaluated, and how all of it stays safe and trustworthy at scale Define the modeling, evaluation, and experimentation standards the team follows — from offline metrics to online rollout to production monitoring Personally ship the highest-leverage models and sub-agents — the ones that need a senior IC to frame the problem, push through ambiguity, and de-risk the approach Drive technical decisions on the data foundations and knowledge layer sub-agents reason over, with strong stewardship of privacy, aggregation, and customer trust Partner with senior Product, Engineering, and Applied AI leaders to shape strategy, roadmap, and investment Raise the bar for the data science team — mentor staff and principal data scientists, review designs, set hiring standards, and grow the org’s modeling rigor You Have: Bachelor’s degree and 12+ years of experience (or 14+ years of experience); advanced degree in a quantitative field (Statistics, CS, ML, Economics, Operations Research, or similar) strongly preferred Track record of setting technical direction for applied ML and AI work that ships and matters — major initiatives, complex systems, or new modeling paradigms taken from idea to production impact Deep applied ML expertise across both traditional ML and deep learning: gradient boosting, regularized linear models, transformer-based sequence models, foundation model embeddings, causal ML, contextual bandits, and offline RL Architect-level grasp of agentic AI systems: tool use, retrieval, multi-step reasoning, evaluation, guardrails, and the patterns for keeping all of it reliable in production Strong grasp of causal inference for intervention design and lifecycle modeling: uplift modeling, difference-in-differences, propensity scoring, and synthetic control Solid foundation in statistics and experimental design at scale: hypothesis testing, power analysis, multiple comparisons, sequential testing, and quasi-experimental methods Experience operating ML in production at scale — feature engineering and pipelines, model monitoring, drift detection, retraining cadence, and the trade-offs between batch and real-time serving Proficient in SQL and Python; comfort with ML/LLM tooling at scale (Spark, Databricks, Snowflake, or equivalents), ML frameworks (PyTorch, scikit-learn, XGBoost/LightGBM), and visualization tools (Tableau or similar) Experience leading lifecycle modeling work — churn, expansion, adoption, plan health, lead/account scoring — and business fluency in the SaaS metrics that drive it (NRR, GRR, ARR, and cohort economics) A pragmatic production bar: latency, cost, monitoring, drift, hallucination, and what happens when the model or sub-agent is wrong Demonstrated ability to influence senior product and engineering leaders and to mentor staff and principal data scientists — your track record shows people and decisions, not just models, getting better Comfort operating in deep ambiguity — defining the problem, choosing the approach, and aligning the team when no playbook exists Get to Know Us: At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together. Equal Opportunity Employer: Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, and India. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know. #LI-Remote", "summaryDescription" : "Sr Principal Data Scientist at Smartsheet", "postedDate" : "2026-06-16T01:15:47.812", "createdAt" : "2026-06-16T01:15:47.812", "lastUpdated" : "2026-06-16T12:57:10.373", "ingestTimestamp" : "2026-06-16T01:15:47.812", "mongoId" : "6a306f13f292fd229cfe4e3e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3082bdf292fd229c06e98c", "title" : "Scientist-Material Science and Characterization", "company" : "Avery Dennison", "industry" : "Packaging And Containers", "salary" : { "min" : 1200000.0, "max" : 1800000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Scientist-Material Science and Characterization in Pune, India, adjusted for the manufacturing industry and company size." }, "location" : "Pune, Maharashtra, IN", "locations" : [ "Pune", "Maharashtra", "IN" ], "timestamp" : "2026-06-16T12:16:16.808", "fingerprint" : "fdab434ccce35eab77df7435bac489f6f098e96c1a1e40d17ea60af022ac81d8", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/AveryDennison/744000131650069-scientist-material-science-and-characterization", "externalId" : "744000131650069", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pune", "state" : "Maharashtra", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "18.5213738,73.8545071" } ], "locationText" : "Pune, Maharashtra, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "Material characterization, Polymer science, Spectroscopy, Microscopy, Thermal analysis, Rheology, Mechanical testing, Statistical analysis", "professionalSkills" : [ "Data analysis", "Problem-solving", "Technical writing", "Project management" ], "hardSkillsList" : [ "Material characterization", "Polymer characterization", "Spectroscopic analysis", "Microscopic analysis", "Thermal analysis", "Rheological analysis", "Mechanical testing", "Statistical analysis" ], "hardSkills" : [ { "name" : "Material characterization", "level" : "intermediate" }, { "name" : "Polymer characterization", "level" : "intermediate" }, { "name" : "Spectroscopic analysis", "level" : "intermediate" }, { "name" : "Microscopic analysis", "level" : "intermediate" }, { "name" : "Thermal analysis", "level" : "intermediate" }, { "name" : "Rheological analysis", "level" : "intermediate" }, { "name" : "Mechanical testing", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" } ], "majorSkills" : "Material characterization, Polymer science", "majorSkillsList" : [ "Material characterization", "Polymer science" ], "coreResponsibilities" : "Perform material characterization experiments, Analyze experimental data, Interpret results, Develop new characterization methods, Document experimental procedures, Write technical reports, Present findings to stakeholders, Collaborate with R&D teams, Maintain laboratory equipment", "teamCollaboration" : "R&D teams; Cross-functional teams", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Polymer science; Material science; Characterization techniques", "domainList" : [ "polymer-science", "material-science", "characterization-techniques" ], "domainSpecificKnowledge" : [ "Polymer science", "Material science", "Characterization techniques" ], "toolProficiency" : [ "Spectroscopy equipment", "Microscopy equipment", "Thermal analysis equipment", "Rheometers", "Mechanical testers", "Statistical software" ], "communicationSkills" : "Technical reports; Present findings", "documentationSkills" : "Technical reports", "innovationCreativity" : "Develop new methods", "problemSolvingSkills" : "Problem-solving; Data analysis", "qualificationsBasic" : "3-5 years of experience, Bachelor's degree in a relevant field, Experience with material characterization techniques, Experience with polymer science", "qualificationsPreferred" : "Master's degree or PhD, Experience with spectroscopy, Experience with microscopy, Experience with thermal analysis, Experience with rheology, Experience with mechanical testing, Experience with statistical analysis software", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Avery Dennison Avery Dennison Corporation (NYSE: AVY) is a global materials science and digital identification solutions company. We are Making Possible™ products and solutions that help advance the industries we serve, providing branding and information solutions that optimize labor and supply chain efficiency, reduce waste, advance sustainability, circularity and transparency, and better connect brands and consumers. We design and develop labeling and functional materials, radio-frequency identification (RFID) inlays and tags, software applications that connect the physical and digital, and offerings that enhance branded packaging and carry or display information that improves the customer experience. Serving industries worldwide — including home and personal care, apparel, general retail, e-commerce, logistics, food and grocery, pharmaceuticals and automotive — we employ approximately 35,000 employees in more than 50 countries. Our reported sales in 2024 were $8.8 billion. Learn more at [www.averydennison.com](http://www.averydennison.com). Avery Dennison is an equal opportunity employer. Please let us know if we can support you with reasonable accommodations throughout the application process by contacting our team via [Requestaccomodation@eu.averydennison.com](mailto:Requestaccomodation@eu.averydennison.com). Job Purpose/Summary: What is the overall purpose of the role? What are the high level objectives/business impact/scope and responsibilities? * This role includes the responsibility of handling instruments such as spectroscopy, Chromatography, thermal and rheometer to interpret data, method development and make scientific reports with proper conclusions. * Understand the product design and application and connect the same with material science for proper interpretation. * Interact /Interface with all sections of the Regional & Global Technical Teams and component experts, as well as the Manufacturing team. * Need to work with the technical service/ process/ quality functions to help in solving problems related to customer complaints etc. * The candidate should blend knowledge of polymer science with cutting-edge digital literacy (AI tools and Google Workspace etc) to deliver rapid, insightful scientific reports and support global technical teams. Key Accountabilities: Accountabilities are the descriptive statements that describe the main results that the role holder is expected to deliver. These are the enduring aspects of a role and do not change significantly from one year to the next. * Provide technical solutions using material science * Understand the existing product technically and link the same with material science * Lead problem-solving lab requests with appropriate technical methods * Technical recommendation and solution to the requester on the problem * Provide timely, detailed technical reports to resolve the complaints. * Cross-functional team management/communication to close the Analytical requests * Work with COP and Global subject matter experts to establish new methods * Be a local SME for analytical-related quality issues * Provide technical support to a cross-functional team. * Technical support to project team * Analyze and identify performance gaps between the performance of existing product construction and how customers & end-users expect it to perform. Determine and suggest necessary actions to improve the performance of existing product construction to meet with customers & end-users’ requirements. * Resolve technical problems, troubleshoot and recommend technical solutions to meet customer needs and requirements. * Assess stakeholder needs in order to recommend appropriate methods and analytical tools. Investigate new methods or improvements to resolve the requirement products with customers and work with NPD teams in projects to assess testing and performance requirements * Gain a preliminary understanding of regulatory/compliance requirements related to product and market applications. * Leverage modern AI tools to accelerate documentation, literature review, data analysis and technical writing workflows. ## Qualifications EDUCATION: * Essential: PhD. or M.Tech. in Polymer Science, Material Characterization, Analytical Chemistry, Printing & Packaging, or a related engineering/scientific discipline. * Experience: 3–5 years of industrial experience in material characterization, analytical chemistry, or polymer product development and commercialization. REQUIRED SKILLS: * Core Instruments: Hands-on proficiency and strong theoretical knowledge in Chromatography, Rheology, Spectroscopy, and Thermal Analysis instruments and physical testing instruments * Communication: Exceptional written & verbal English communication skills, with an ability to write rigorous technical reports. * Preliminary understanding of global regulatory and compliance standards related to polymer and packaging applications. * Data & Digital Literacy: Strong knowledge of statistical tools and common computer software (Google Workspace-desirable). Familiarity with utilizing AI tools to optimize research efficiency is a strong plus. ## Additional Information Please note that if you have not heard from the HR Department within 30 days of this advert closing, your application has unfortunately been unsuccessful. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or other protected status. EEOE/M/F/Vet/Disabled. All your information will be kept confidential according to EEO guidelines.", "summaryDescription" : "Scientist-Material Science and Characterization at Avery Dennison. Skills: Material characterization, Polymer science. Perform material characterization experiments. 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We are Making Possible™ products and solutions that help advance the industries we serve, providing branding and information solutions that optimize labor and supply chain efficiency, reduce waste, advance sustainability, circularity and transparency, and better connect brands and consumers. We design and develop labeling and functional materials, radio-frequency identification (RFID) inlays and tags, software applications that connect the physical and digital, and offerings that enhance branded packaging and carry or display information that improves the customer experience. Serving industries worldwide — including home and personal care, apparel, general retail, e-commerce, logistics, food and grocery, pharmaceuticals and automotive — we employ approximately 35,000 employees in more than 50 countries. Our reported sales in 2024 were $8.8 billion. Learn more at [www.averydennison.com](http://www.averydennison.com). Avery Dennison is an equal opportunity employer. Please let us know if we can support you with reasonable accommodations throughout the application process by contacting our team via [Requestaccomodation@eu.averydennison.com](mailto:Requestaccomodation@eu.averydennison.com). Job Purpose/Summary: What is the overall purpose of the role? What are the high level objectives/business impact/scope and responsibilities? * This role includes the responsibility of handling instruments such as spectroscopy, Chromatography, thermal and rheometer to interpret data, method development and make scientific reports with proper conclusions. * Understand the product design and application and connect the same with material science for proper interpretation. * Interact /Interface with all sections of the Regional & Global Technical Teams and component experts, as well as the Manufacturing team. * Need to work with the technical service/ process/ quality functions to help in solving problems related to customer complaints etc. * The candidate should blend knowledge of polymer science with cutting-edge digital literacy (AI tools and Google Workspace etc) to deliver rapid, insightful scientific reports and support global technical teams. Key Accountabilities: Accountabilities are the descriptive statements that describe the main results that the role holder is expected to deliver. These are the enduring aspects of a role and do not change significantly from one year to the next. * Provide technical solutions using material science * Understand the existing product technically and link the same with material science * Lead problem-solving lab requests with appropriate technical methods * Technical recommendation and solution to the requester on the problem * Provide timely, detailed technical reports to resolve the complaints. * Cross-functional team management/communication to close the Analytical requests * Work with COP and Global subject matter experts to establish new methods * Be a local SME for analytical-related quality issues * Provide technical support to a cross-functional team. * Technical support to project team * Analyze and identify performance gaps between the performance of existing product construction and how customers & end-users expect it to perform. Determine and suggest necessary actions to improve the performance of existing product construction to meet with customers & end-users’ requirements. * Resolve technical problems, troubleshoot and recommend technical solutions to meet customer needs and requirements. * Assess stakeholder needs in order to recommend appropriate methods and analytical tools. Investigate new methods or improvements to resolve the requirement products with customers and work with NPD teams in projects to assess testing and performance requirements * Gain a preliminary understanding of regulatory/compliance requirements related to product and market applications. * Leverage modern AI tools to accelerate documentation, literature review, data analysis and technical writing workflows. ## Qualifications EDUCATION: * Essential: PhD. or M.Tech. in Polymer Science, Material Characterization, Analytical Chemistry, Printing & Packaging, or a related engineering/scientific discipline. * Experience: 3–5 years of industrial experience in material characterization, analytical chemistry, or polymer product development and commercialization. REQUIRED SKILLS: * Core Instruments: Hands-on proficiency and strong theoretical knowledge in Chromatography, Rheology, Spectroscopy, and Thermal Analysis instruments and physical testing instruments * Communication: Exceptional written & verbal English communication skills, with an ability to write rigorous technical reports. * Preliminary understanding of global regulatory and compliance standards related to polymer and packaging applications. * Data & Digital Literacy: Strong knowledge of statistical tools and common computer software (Google Workspace-desirable). Familiarity with utilizing AI tools to optimize research efficiency is a strong plus. ## Additional Information Please note that if you have not heard from the HR Department within 30 days of this advert closing, your application has unfortunately been unsuccessful. 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Our Terran R vehicle will deliver customer payloads to orbit, meeting the growing demand for launch capacity. But that’s just the start. Achieving commercial success with Terran R will unlock new opportunities to advance science, exploration, and innovation, pioneering progress that reaches beyond the known. Joining Relativity means becoming part of something where autonomy, ownership, and impact exist at every level. Here, you're not just executing tasks; you're solving problems that haven’t been solved before, helping develop a rocket, a factory, and a business from the ground up. Whether you’re in propulsion, manufacturing, software, avionics, or a corporate function, you’ll collaborate across teams, shape decisions, and see your work come to life in record time. Relativity is a place where creativity and technical rigor go hand in hand, and your voice will help define the stories we’re writing together. Now is a unique moment in time where it’s early enough to leave your mark on the product, the process, and the culture, but far enough along that Terran R is tangible and picking up momentum. The most meaningful work of your career is waiting. Join us. About the Team: The Materials and NDE (Non-Destructive Evaluation) team plays a central role in enabling Terran R to fly, re-fly, and scale: developing, characterizing, and inspecting materials and processes across all parts of the vehicle. From welding and additive manufacturing to advanced composites, the team works at the intersection of innovation and execution, balancing performance and reliability with cost, quality, and schedule. As we move toward first flight and beyond, the challenges become more exciting, offering opportunities to shape how we design and develop for re-use. With ownership across products, systems, and disciplines, engineers gain broad exposure and drive key decisions across design, manufacturing, and operations. About the Role: Operate and program CNC lathes, mills, and wire EDM machines, ensuring precision in machining aerospace metal alloys Utilize CAD software to create and modify designs, implementing CNC programs (G-code) for producing materials test coupons Maintain, troubleshoot, and calibrate machining equipment, ensuring compliance with aerospace industry standards Communicate effectively with engineering teams and cross-functional stakeholders to translate project requirements into machining solutions Work collaboratively with teams of varying technical expertise to optimize machining processes and troubleshoot manufacturing challenges Develop and enforce standardized workflows for machine shop operations, including shift hand-offs and documentation of machining procedures About You: 2+ years of hands-on machining experience operating or programming CNC lathes, mills and/or EDM machines Experience in machine maintenance, troubleshooting, and calibration to ensure optimal performance Experience in using common inspection tools (calipers, micrometers, dial indicators, etc.) Ability to interpret and verify engineering drawings, blueprints, and technical specifications using precision measuring instruments Ability to adapt in fast paced environments Nice to haves but not required: Proficiency in CAD/CAM software and G-code programming Solid understanding of machining best practices for aerospace materials Strong oral and verbal communication skills Strong understanding of tolerancing and measurement techniques in accordance with GD&T (Geometric Dimensioning and Tolerancing) standards At Relativity Space, we are committed to transparency and fairness in our compensation practices. Actual compensation will be determined based on experience, qualifications, and other job-related factors. Compensation is only one part of our total rewards package. Relativity Space offers competitive salary and equity, a generous PTO and sick leave policy, parental leave, an annual learning and development stipend, and more! To see some of the benefits & perks we offer, please visit here. Hiring Range: $25.80—$35.48 USD We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. 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"qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About UptimeAI: UptimeAI is leading the way in predictive analytics and AI-driven solutions to optimize operational uptime and reduce downtime for industrial and enterprise clients. Our innovative platform harnesses cutting-edge data science to deliver actionable insights, ensuring maximum efficiency and reliability. UptimeAI uniquely combines Artificial Intelligence with Subject Matter Knowledge from 200+ years of cumulative experience to explain interrelations across upstream/downstream equipment, adapt to changes, identify problems, and give prescriptive diagnosis like a human expert would. Recently receiving a funding round led by WestBridge Capital, UptimeAI is prime for global expansion Role : Lead / Principal Data Scientist Location: Bangalore- Karnataka (Hybrid) Experience: 5+ years Department: Data Science ROLE OVERVIEW We are looking for individuals who sit at the intersection of Data Science and Physical Sciences. You understand that industrial data isn't just rows in a database—it represents thermodynamics, fluid dynamics, and mechanical stress. The candidate should be capable of translating business problems into scalable AI solutions, leveraging creative thinking and first-principles problem solving. This role requires someone who can: · Build and deploy production-grade AI systems, not just prototypes · Design agentic workflows that can reason, adapt, and take actions in dynamic environments · Work with noisy, incomplete, and real-time industrial data to derive meaningful insights · Collaborate closely with domain experts (e.g., operations, reliability, or plant engineers) to create context-aware AI solutions · Demonstrate innovative thinking in solving ambiguous problems where standard approaches may not apply KEY RESPONSIBILITIES · Be a part of the design, development, and deployment of advanced AI/ML models for predictive maintenance, process optimization, and industrial performance intelligence · Collaborate closely with Product, Engineering, and Customer Success teams to translate business problems from industrial domains into data science solutions. · Guide the team in handling complex, high-dimensional, and time-series sensor data from IoT, SCADA, and DCS systems. · Drive model interpretability, scalability, and accuracy, ensuring robust performance in real-world production environments. · Hybrid Modeling: Integrate First-Principles Models (mass/energy balances, kinetics) with data-driven ML to ensure physical consistency in model outputs. · Signal Processing: Lead the strategy for feature engineering on high-frequency telemetry data from SCADA/DCS, focusing on transient state detection and steady-state identification. · Operationalization: Move beyond \"notebook AI\" to deploy robust, low-latency inference pipelines that respect the edge-computing constraints of industrial environments. · Partner with industry experts and customers to validate models, derive insights, and deliver measurable business outcomes. · Stay ahead of emerging trends in AI/ML, deep learning, and industrial AI to incorporate innovative techniques into UptimeAi’s product roadmap. · Contribute to thought leadership by publishing whitepapers, patents, or presenting at industry conferences · Mentor and provide technical leadership to data scientists, ensuring continuous upskilling and adoption of best practices QUALIFICATIONS · Bachelor’s or higher in Chemical Engineering, Mechanical Engineering, Aerospace, or Applied Physics with a heavy emphasis on computational modeling. (Candidates with CS degrees are welcome if they have significant experience in heavy industry). · 5+ years of hands-on experience developing and deploying ML models specifically within Manufacturing, Energy, Oil & Gas, or Power sectors. · Strong background in handling time-series and sensor data from industrial or IoT systems. · Hands-on experience with Python, TensorFlow/PyTorch, Scikit-learn, SQL, and cloud ML platforms (AWS, Azure, GCP). · Excellent problem-solving and communication skills with the ability to influence senior stakeholders. · Demonstrated ability to lead and mentor teams while being a hands-on contributor · Ability to work independently, with strong problem-solving and decision-making abilities Why to join UptimeAI: · Impact Industry-Wide Change: Contribute to transformative solutions that significantly improve operational efficiency and reliability for global clients. · Collaborative and Growth-Oriented Environment: Join a talented, passionate team that values innovation, continuous learning, and professional growth. · Opportunities for Leadership and Innovation: Lead pioneering projects, influence product development, and shape the future of industrial AI solutions.", "summaryDescription" : "Lead / Principal Data Scientist at UptimeAI. 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Across AWS; Product teams; Engineering teams", "domainKnowledge" : "Contact center; Cloud-based contact center; Artificial Intelligence; AWS services", "domainList" : [ "contact-center", "cloud-based-contact-center", "artificial-intelligence", "aws-services" ], "domainSpecificKnowledge" : [ "Contact center", "Cloud-based contact center", "Artificial Intelligence", "AWS services" ], "communicationSkills" : "Influence across organizations", "innovationCreativity" : "Rapid innovation; Innovative solutions", "problemSolvingSkills" : "Exceptional problem-solving; Analytical skills; Decision making; Ambiguous problem spaces", "outcomesObjectives" : "Deliver measurable customer impact", "qualificationsBasic" : "PhD in Computer Science, 10+ years research experience, Production AI/ML systems delivery, Deep expertise in AI/ML, Publication record, Experience leading teams, Exceptional problem-solving skills, Exceptional analytical skills", "qualificationsPreferred" : "Experience with large-scale ML systems, Experience with cloud computing, Track record of driving scientific innovation, Experience partnering with product teams, Experience partnering with engineering teams, Translate complex scientific concepts", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. The Principal Applied Scientist will drive the scientific vision for AI systems. The role requires tackling intrinsically hard, previously unsolved problems while balancing rapid innovation with reliability and compliance. You should be comfortable making decisions with incomplete information and driving solutions in ambiguous problem spaces. You'll work closely with senior technical leaders within the team and across AWS. We're looking for scientists who can maintain high standards while moving quickly, prioritizing both rapid experimentation and responsible AI development to deliver measurable customer impact. Key job responsibilities * Drive the scientific vision of teams in the organization and advise technical leadership on scientific challenges * Initiate and lead the design and delivery of science solutions that address significantly large or endemic customer and business problems * Propose innovative solutions to intrinsically hard, previously unsolved problems * Influence the organization towards adopting new approaches, concepts, and paradigms * Mentor and develop other scientists, fostering a culture of scientific excellence About the team Amazon Connect is a highly disruptive cloud-based contact center that enables businesses to deliver engaging, dynamic, and personal customer service experiences. Amazon Connect is the result of the ten years of development that went into building the tools Amazon uses to provide its award winning customer service at massive scale and launching it as a publicly available AWS service. With Amazon Connect, you can create your own cloud-based contact center and be taking calls in minutes. Amazon Connect leverages the power of Artificial Intelligence and the large ecosystem of AWS services such as Amazon Lex, Amazon Polly, AWS Lambda, Amazon S3 and Amazon Kinesis to provide a truly frustration free, easy-to-use, extensible, and natural customer experience. With this technology, we are transforming an industry and the way customers interact with businesses and how agents service them. Basic Qualifications: * PhD in Computer Science, Machine Learning, or related field * 10+ years of relevant, broad research experience after PhD * Track record of delivering production AI/ML systems with significant customer impact * Deep expertise in one or more areas of AI/ML (e.g., NLP, computer vision, deep learning) * Strong publication record in top-tier conferences or journals * Experience leading and mentoring teams of scientists and engineers * Exceptional problem-solving and analytical skills * Strong communication skills and ability to influence across organizations Preferred Qualifications: * Experience with large-scale machine learning systems and cloud computing * Track record of driving scientific innovation in industry settings * Experience partnering with product and engineering teams to deliver AI solutions * Demonstrated ability to translate complex scientific concepts to non-technical stakeholders Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Principal Applied Scientist at Amazon Development Center U.S., Inc.. Skills: AI, Machine Learning, Scientific vision. Drive scientific vision. 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Our activities span the entire value chain from farm to fork, across a broad range of business lines, we leverage our global reach and extensive asset network to serve our customers and consumers around the world. Structured as a matrix organization of six geographical regions and ten platforms, Louis Dreyfus Company is active in over 100 countries and employs approximately 18,000 people globally. Primary Responsibilities/Essential Functions * Plan, manage, execute protein extraction research from bench to pilot scale with goal of improving protein functionality with model food and beverage systems * Generate ideas and convert them into successful experiments with the goal to generate them into intellectual property * Actively collaborate with product development, process engineering, and analytics * Bottom-up innovative methods for the design of plant protein isolation, purification and characterization process that will be future ingredients in MRS for our customers * Data visualization and statistical analysis of experimental results as well as interpreting and communicating the findings of R&D team to the business unit * Serve as a subject matter expert in plant protein research that can mentor and help develop internal talent * Apply learning from patent landscape and public research to short, mid and long term in-house and external partner collaborative projects Additional Responsibilities Functions * Other duties as assigned by management. ## Qualifications Experience Basic qualification: * Knowledge of protein structure and function properties, polysaccharides, and fats within complex food matrix systems such as hydrocolloids, emulsions, foams, gels, etc. * Application of enzymes and chemicals for proteins, oils, and polysaccharide modifications. * Understanding of QA/QC, microbial safety, and sensory properties of proteins and food products. * Know-how in methods to characterize plant proteins and its use thereof in food and beverage systems using analytical methods such as rheology, texture analysis, particle size, scanning electron microscopy, proteomics, CD/DSC, SDS-PAGE etc., * Broad view on plant-based food and beverage industry and markets, in-depth knowledge on products. Education/Professional Certifications/Licenses * Ph. D in food science, protein chemistry, biochemistry, chemical engineering, chemistry, biology, or a related field. * Alternatively, a master’s degree in the above fields, with 5+ years of relevant food industry experience, or a bachelors with 10+ years of relevant food industry experience. Knowledge/Skills/Abilities (including any physical demands) Basic qualifications: * This position is a safety sensitive position and is subject to random drug testing. * Ability to sit, stand and walk for extended periods of time. * Ability to climb stairs and ladders as well as work at heights; * Ability to work in confined spaces. * Ability to work in a variety of temperatures and potential inclement weather. * Ability to withstand extended periods of walking and standing. * Ability to move manufacturing materials, products and equipment of 50 pounds or more, which requires bending and lifting. * Ability to wear Personal Protective Equipment (PPE) as is compliant with policies and procedures. * Ability to work in fast-paced lab environments. * Excellent verbal and written communication skills. * Proficiency with spreadsheet and word-processing software (e.g., Excel, Word, PowerPoint). * Strong analytical and problem-solving skills. * Ability to prioritize multiple tasks to meet strict monthly deadlines. * Proactively approaches job duties and potential problems. * Detail oriented with strong organizational and documentation skills. ## Additional Information Safety, Health and Environmental Requirements * This position is a safety sensitive position and is subject to random drug testing. * Ability to sit, stand and walk for extended periods of time. * Ability to move manufacturing materials, products and equipment of 50 pounds or more, which requires bending and lifting. * Ability to wear Personal Protective Equipment (PPE) as is compliant with policies and procedures. Working Conditions * Time split between pilot plant, office and lab environments. There may be extended periods of sitting or standing at a computer screen or counter. * Interacts closely with personnel in other departments and Company locations. * Interacts closely with middle and senior management personnel. * Extensions of regular working hours are occasionally necessary to complete time-sensitive projects or to respond to emergencies. Employee Supervision * Based upon business needs, may supervise 1 or 2 Research Assistants. Decision Making/Accountability * Handle and report issues or questions as directed by Livermore facility Management. Prioritizes personal workload throughout the day to ensure meeting of deadlines. What We Offer We provide a dynamic and stimulating international environment, which will stretch and develop your abilities and channel your skills and expertise with outstanding career development opportunities in one of the largest and most solid private companies in the world. - Comprehensive benefits program including medical, dental and vision care coverage, flexible spending account plans, employee assistance program, life insurance and disability coverage - 401k with Company Match - Family Friendly Benefits including childbirth and parental leave, fertility and family building benefits - Paid Time Off (PTO) and Paid Holidays - Flexible work available (not applicable to all roles) Diversity & Inclusion LDC is driven by a set of shared values and high ethical standards, with diversity and inclusion being part of our DNA. LDC is an equal opportunity employer committed to providing a working environment that embraces and values diversity, equity and inclusion. LDC encourages diversity, supports local communities and environmental initiatives. We encourage people of all backgrounds to apply. Equal employment opportunity (EEO) Louis Dreyfus Company provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Sustainability Sustainable value is at the heart of our purpose as a company. We are passionate about creating fair and sustainable value, both for our business and for other value chain stakeholders: our people, our business partners, the communities we touch and the environment around us", "summaryDescription" : "Research Scientist, Proteins at Louis Dreyfus Company. Skills: Protein Engineering, Antibody Engineering, Antibody Discovery, Antibody Development. Design novel antibodies. Develop antibody engineering strategies", "postedDate" : "2026-06-11T22:09:17.000", "createdAt" : "2026-06-16T01:35:45.143", "lastUpdated" : "2026-06-16T12:10:30.062", "ingestTimestamp" : "2026-06-16T01:35:45.143", "mongoId" : "6a307ca6f292fd229c04a87c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Protein engineering", "Antibody engineering", "Antibody discovery", "Antibody development", "Protein expression", "Protein purification", "Protein characterization", "Mammalian cell culture", "Transient transfection", "Protein formulation", "Protein analytics", "Biologics development", "CMC", "Regulatory filings", "Protein Engineering", "Antibody Engineering", "Antibody Discovery", "Antibody Development", "Project management", "Data analysis", "Experimental design" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Food & Beverage", "llmIndustryConfidence" : 0.95 }, { "id" : "6a1733c958b93c861ed177e9", "title" : "Technicien Formulation H/F", "company" : "UPSA", "industry" : "Pharma", "salary" : { "min" : 26000.0, "max" : 32000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Entry-level Technicien Formulation in Agen, France, adjusted for the pharmaceutical industry and temporary employment type." }, "location" : "Agen, FR", "locations" : [ "Agen", "FR" ], "timestamp" : "2026-06-16T03:00:47.287", "fingerprint" : "395151fb02749f40eca76a3de66a43922cf4041e354e78027f35a51693182d4e", "source" : "breezyhr", "language" : "fr", "applyUrl" : "https://upsa.breezy.hr/p/cc4464d4620001-technicien-formulation-h-f-cdi", "externalId" : "cc4464d4620001", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Agen", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "44.2015827,0.6176112" } ], "locationText" : "Agen, France", "employmentType" : "TEMPORARY", "workSiteFlexibility" : "Onsite", "rawDescription" : "UPSA incarne l’ancrage territorial et la défense d’un savoir-faire « Fabriqué en France » qui rayonne à l’échelle internationale. Premier employeur privé du Lot-et-Garonne, l’entreprise rassemble 1 500 collaborateurs en France et génère 3 500 emplois indirects en Nouvelle-Aquitaine. Présent dans pl", "summaryDescription" : "Technicien Formulation H/F at UPSA", "createdAt" : "2026-06-14T20:26:42.621", "lastUpdated" : "2026-06-16T03:00:47.287", "ingestTimestamp" : "2026-06-14T20:26:42.621", "mongoId" : "6a1733c958b93c861ed177e9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Pharma", "llmIndustryConfidence" : 0.85 }, { "id" : "6a305a6af292fd229cf50547", "title" : "Principal Data Scientist - Agent Builder", "company" : "Elastic", "industry" : "Technology", "salary" : { "min" : 140000.0, "max" : 210000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Principal Data Scientist in the Technology industry in the Netherlands, adjusted for executive seniority and company size." }, "location" : "Netherlands", "locations" : [ "Netherlands" ], "timestamp" : "2026-06-16T11:05:30.121", "fingerprint" : "8e027fce54abc926a9eebea78a61fc140b324b454e895a1c094d41cc76a8efd9", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.elastic.co/jobs?gh_jid=8008494&gh_jid=8008494", "externalId" : "8008494", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Netherlands", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Netherlands", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Principal", "technicalSkills" : "Python, SQL, Spark, AWS, GCP, Azure, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, SageMaker, Vertex AI, ML Studio, S3, Glue, Athena, Synapse", "professionalSkills" : [ "Data engineering", "ML engineering", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical modeling", "Machine learning", "Deep learning", "Data modeling", "Data warehousing", "ETL development", "Data pipeline", "Data visualization", "Experiment design", "A/B testing", "Causal inference" ], "hardSkillsList" : [ "Statistical analysis", "Regression analysis", "Classification models", "Clustering algorithms", "Time-series forecasting", "Experimentation design", "Causal inference methods", "Model deployment", "Model monitoring", "Data wrangling", "Feature engineering", "Algorithm development" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Regression analysis", "level" : "intermediate" }, { "name" : "Classification models", "level" : "intermediate" }, { "name" : "Clustering algorithms", "level" : "intermediate" }, { "name" : "Time-series forecasting", "level" : "intermediate" }, { "name" : "Experimentation design", "level" : "intermediate" }, { "name" : "Causal inference methods", "level" : "intermediate" }, { "name" : "Model deployment", "level" : "intermediate" }, { "name" : "Model monitoring", "level" : "intermediate" }, { "name" : "Data wrangling", "level" : "intermediate" }, { "name" : "Feature engineering", "level" : "intermediate" }, { "name" : "Algorithm development", "level" : "intermediate" } ], "majorSkills" : "Data science, Machine learning, Data engineering, AI", "majorSkillsList" : [ "Data science", "Machine learning", "Data engineering", "AI" ], "coreResponsibilities" : "Build and deploy machine learning models, Develop and maintain data pipelines, Design and implement data solutions, Conduct data analysis, Perform statistical modeling, Develop ML models, Deploy ML models, Monitor ML models, Collaborate with engineering teams, Collaborate with product teams, Drive data science initiatives, Contribute to data strategy, Build agent models, Develop AI agents", "teamCollaboration" : "Cross-functional teams; Engineering teams; Product teams", "toolProficiency" : [ "Python", "SQL", "Spark", "AWS", "GCP", "Azure", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "SageMaker", "Vertex AI", "ML Studio", "S3", "Glue", "Athena", "Synapse" ], "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Data-driven decision making", "remoteFriendly" : true, "rawDescription" : "Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Search Conversational Experiences team builds Elastic’s new conversational and agentic platform that lets customers chat with their own data in Elasticsearch. We build the core quality layer for RAG, agents and tools, retrieval and citations, streaming, memory, and the evaluation signals that turn open-ended questions into grounded, reliable answers. As a Principal Data Scientist, you will help set the technical direction for how we evaluate, improve, and scale chat quality across Elastic’s agentic platform. You will define the evaluation strategy that guides product decisions, including which models we standardize on, how we route requests across agents, which tools we enable and when, and how we tailor agents to different Elastic use cases in search and beyond. You will work closely with backend engineering, product, UX, and other data scientists to turn ambiguous, cutting-edge problems into measurable product improvements. You’ll help lead work on frontier problems such as folding RAG and vector search into an agent’s knowledge base, dynamically enriching model context to improve groundedness, shaping reasoning strategies and tool-selection policies, lighting up agent-driven visualizations on top of Elasticsearch data, and exploring multimodality where it can create meaningful user value. This is an applied leadership role: you will prototype, evaluate, influence roadmap direction, and help teams ship improvements that customers can feel. What You Will Be Doing Define the evaluation strategy for conversational and agentic search, including offline and online evaluation, golden datasets, rubrics, LLM-as-judge calibration, groundedness and citation checks, and A/B testing. Lead the design of quality metrics and decision frameworks for RAG, agents, tools, model selection, agent routing, prompt behavior, and cost/latency trade-offs. Build, compare, and guide improvements across retrieval and re-ranking approaches, including sparse and dense retrieval, vector search, query understanding, semantic rewrites, and context enrichment. Turn experimental results into product and business decisions: which models to use, how to route requests efficiently, which tools should be exposed, and how agents should be customized for different Elastic use cases. Partner with engineering to productionize evaluation pipelines, telemetry, dashboards, CI guardrails, and regression detection for chat quality, helpfulness, dedication, latency, and cost. Influence the roadmap by identifying the highest-leverage quality gaps, proposing practical solutions, and communicating trade-offs clearly to product, engineering, and leadership. Mentor other data scientists and engineers in experiment design, evaluation methodology, statistical rigor, and practical approaches to improving LLM-powered systems. Share outcomes through clear docs, notebooks, PRs, dashboards, technical proposals, and cross-functional reviews. What You Bring 8+ years of applied DS/ML experience, with deep expertise in IR, NLP, ranking, semantic search, RAG, or LLM-powered product experiences. Strong track record defining and leading evaluation for production AI/ML systems, including offline metrics, online experimentation, LLM-as-judge approaches, groundedness, citation quality, and model comparison. Experience influencing product and technical strategy through data, especially in ambiguous or emerging domains where the “right” metric or approach is not obvious at the start. Hands-on ability with Python, PyTorch/Transformers, Pandas, notebooks, reproducible experiments, versioned datasets, and clean, reviewable code. Strong understanding of retrieval systems, including dense and sparse retrieval, re-ranking, vector search, query understanding, and evaluation metrics such as nDCG, MRR, Recall@k, precision,and latency/cost trade-offs. Experience collaborating closely with engineering teams to move from prototype to production, including telemetry design, dashboards, CI guardrails, and quality regression tracking. Practical Elasticsearch experience, or experience with similar search and distributed data systems. ES|QL familiarity is a plus. Excellent written and verbal communication, with the ability to explain complex scientific and technical trade-offs to engineering, product, design, and leadership audiences. A collaborative, low-ego style and a strong ability to mentor, raise standards, and develop transparency for others in a distributed team. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: €80.400—€127.200 EUR Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U. S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.", "summaryDescription" : "Principal Data Scientist - Agent Builder at Elastic. Skills: Data science, Machine learning, Data engineering, AI. Build and deploy machine learning models. Develop and maintain data pipelines", "postedDate" : "2026-06-15T23:22:17.099", "createdAt" : "2026-06-15T23:22:17.099", "lastUpdated" : "2026-06-16T11:05:30.121", "ingestTimestamp" : "2026-06-15T23:22:17.099", "mongoId" : "6a305a6af292fd229cf50547", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Statistical analysis", "Regression analysis", "Classification models", "Clustering algorithms", "Time-series forecasting", "Experimentation design", "Causal inference methods", "Model deployment", "Model monitoring", "Data wrangling", "Feature engineering", "Algorithm development", "Data science", "Machine learning", "Data engineering", "AI", "ML engineering", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical modeling", "Deep learning", "Data modeling", "Data warehousing", "ETL development", "Data pipeline", "Data visualization", "Experiment design", "A/B testing", "Causal inference", "Python", "SQL", "Spark", "AWS", "GCP", "Azure", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "SageMaker", "Vertex AI", "ML Studio", "S3", "Glue", "Athena", "Synapse" ], "skillCount" : 58, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305a6af292fd229cf5054e", "title" : "Principal Data Scientist - Agent Builder", "company" : "Elastic", "salary" : { "min" : 140000.0, "max" : 210000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Principal Data Scientist in the Technology industry in the Netherlands, adjusted for executive seniority and full-time employment." }, "location" : "Netherlands", "locations" : [ "Netherlands" ], "timestamp" : "2026-06-16T08:10:42.353", "fingerprint" : "e40db0762c43f936f11de5b8d1eb6f4b99a6c75a4a4443d9c56580ffb77bbe8e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.elastic.co/jobs?gh_jid=8008502&gh_jid=8008502", "externalId" : "8008502", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Netherlands", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Netherlands", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "rawDescription" : "Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Search Conversational Experiences team builds Elastic’s new conversational and agentic platform that lets customers chat with their own data in Elasticsearch. We build the core quality layer for RAG, agents and tools, retrieval and citations, streaming, memory, and the evaluation signals that turn open-ended questions into grounded, reliable answers. As a Principal Data Scientist, you will help set the technical direction for how we evaluate, improve, and scale chat quality across Elastic’s agentic platform. You will define the evaluation strategy that guides product decisions, including which models we standardize on, how we route requests across agents, which tools we enable and when, and how we tailor agents to different Elastic use cases in search and beyond. You will work closely with backend engineering, product, UX, and other data scientists to turn ambiguous, cutting-edge problems into measurable product improvements. You’ll help lead work on frontier problems such as folding RAG and vector search into an agent’s knowledge base, dynamically enriching model context to improve groundedness, shaping reasoning strategies and tool-selection policies, lighting up agent-driven visualizations on top of Elasticsearch data, and exploring multimodality where it can create meaningful user value. This is an applied leadership role: you will prototype, evaluate, influence roadmap direction, and help teams ship improvements that customers can feel. What You Will Be Doing Define the evaluation strategy for conversational and agentic search, including offline and online evaluation, golden datasets, rubrics, LLM-as-judge calibration, groundedness and citation checks, and A/B testing. Lead the design of quality metrics and decision frameworks for RAG, agents, tools, model selection, agent routing, prompt behavior, and cost/latency trade-offs. Build, compare, and guide improvements across retrieval and re-ranking approaches, including sparse and dense retrieval, vector search, query understanding, semantic rewrites, and context enrichment. Turn experimental results into product and business decisions: which models to use, how to route requests efficiently, which tools should be exposed, and how agents should be customized for different Elastic use cases. Partner with engineering to productionize evaluation pipelines, telemetry, dashboards, CI guardrails, and regression detection for chat quality, helpfulness, dedication, latency, and cost. Influence the roadmap by identifying the highest-leverage quality gaps, proposing practical solutions, and communicating trade-offs clearly to product, engineering, and leadership. Mentor other data scientists and engineers in experiment design, evaluation methodology, statistical rigor, and practical approaches to improving LLM-powered systems. Share outcomes through clear docs, notebooks, PRs, dashboards, technical proposals, and cross-functional reviews. What You Bring 8+ years of applied DS/ML experience, with deep expertise in IR, NLP, ranking, semantic search, RAG, or LLM-powered product experiences. Strong track record defining and leading evaluation for production AI/ML systems, including offline metrics, online experimentation, LLM-as-judge approaches, groundedness, citation quality, and model comparison. Experience influencing product and technical strategy through data, especially in ambiguous or emerging domains where the “right” metric or approach is not obvious at the start. Hands-on ability with Python, PyTorch/Transformers, Pandas, notebooks, reproducible experiments, versioned datasets, and clean, reviewable code. Strong understanding of retrieval systems, including dense and sparse retrieval, re-ranking, vector search, query understanding, and evaluation metrics such as nDCG, MRR, Recall@k, precision,and latency/cost trade-offs. Experience collaborating closely with engineering teams to move from prototype to production, including telemetry design, dashboards, CI guardrails, and quality regression tracking. Practical Elasticsearch experience, or experience with similar search and distributed data systems. ES|QL familiarity is a plus. Excellent written and verbal communication, with the ability to explain complex scientific and technical trade-offs to engineering, product, design, and leadership audiences. A collaborative, low-ego style and a strong ability to mentor, raise standards, and develop transparency for others in a distributed team. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: €73.300—€115.900 EUR Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U. S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.", "summaryDescription" : "Principal Data Scientist - Agent Builder at Elastic", "postedDate" : "2026-06-15T23:26:19.410", "createdAt" : "2026-06-15T23:26:19.410", "lastUpdated" : "2026-06-16T08:10:42.353", "ingestTimestamp" : "2026-06-15T23:26:19.410", "mongoId" : "6a305a6af292fd229cf5054e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305a6af292fd229cf5054a", "title" : "Principal Data Scientist - Agent Builder", "company" : "Elastic", "salary" : { "min" : 150000.0, "max" : 220000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Principal Data Scientist in the Technology industry in the Netherlands, adjusted for executive seniority and full-time employment." }, "location" : "Netherlands", "locations" : [ "Netherlands" ], "timestamp" : "2026-06-16T07:36:20.025", "fingerprint" : "42b69b81ccf5dedf71320a5bc295c55ce32b7b0ec8e693c0f0fd92c726510c75", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.elastic.co/jobs?gh_jid=8008503&gh_jid=8008503", "externalId" : "8008503", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Netherlands", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Netherlands", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Principal", "remoteFriendly" : true, "rawDescription" : "Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Search Conversational Experiences team builds Elastic’s new conversational and agentic platform that lets customers chat with their own data in Elasticsearch. We build the core quality layer for RAG, agents and tools, retrieval and citations, streaming, memory, and the evaluation signals that turn open-ended questions into grounded, reliable answers. As a Principal Data Scientist, you will help set the technical direction for how we evaluate, improve, and scale chat quality across Elastic’s agentic platform. You will define the evaluation strategy that guides product decisions, including which models we standardize on, how we route requests across agents, which tools we enable and when, and how we tailor agents to different Elastic use cases in search and beyond. You will work closely with backend engineering, product, UX, and other data scientists to turn ambiguous, cutting-edge problems into measurable product improvements. You’ll help lead work on frontier problems such as folding RAG and vector search into an agent’s knowledge base, dynamically enriching model context to improve groundedness, shaping reasoning strategies and tool-selection policies, lighting up agent-driven visualizations on top of Elasticsearch data, and exploring multimodality where it can create meaningful user value. This is an applied leadership role: you will prototype, evaluate, influence roadmap direction, and help teams ship improvements that customers can feel. What You Will Be Doing Define the evaluation strategy for conversational and agentic search, including offline and online evaluation, golden datasets, rubrics, LLM-as-judge calibration, groundedness and citation checks, and A/B testing. Lead the design of quality metrics and decision frameworks for RAG, agents, tools, model selection, agent routing, prompt behavior, and cost/latency trade-offs. Build, compare, and guide improvements across retrieval and re-ranking approaches, including sparse and dense retrieval, vector search, query understanding, semantic rewrites, and context enrichment. Turn experimental results into product and business decisions: which models to use, how to route requests efficiently, which tools should be exposed, and how agents should be customized for different Elastic use cases. Partner with engineering to productionize evaluation pipelines, telemetry, dashboards, CI guardrails, and regression detection for chat quality, helpfulness, dedication, latency, and cost. Influence the roadmap by identifying the highest-leverage quality gaps, proposing practical solutions, and communicating trade-offs clearly to product, engineering, and leadership. Mentor other data scientists and engineers in experiment design, evaluation methodology, statistical rigor, and practical approaches to improving LLM-powered systems. Share outcomes through clear docs, notebooks, PRs, dashboards, technical proposals, and cross-functional reviews. What You Bring 8+ years of applied DS/ML experience, with deep expertise in IR, NLP, ranking, semantic search, RAG, or LLM-powered product experiences. Strong track record defining and leading evaluation for production AI/ML systems, including offline metrics, online experimentation, LLM-as-judge approaches, groundedness, citation quality, and model comparison. Experience influencing product and technical strategy through data, especially in ambiguous or emerging domains where the “right” metric or approach is not obvious at the start. Hands-on ability with Python, PyTorch/Transformers, Pandas, notebooks, reproducible experiments, versioned datasets, and clean, reviewable code. Strong understanding of retrieval systems, including dense and sparse retrieval, re-ranking, vector search, query understanding, and evaluation metrics such as nDCG, MRR, Recall@k, precision,and latency/cost trade-offs. Experience collaborating closely with engineering teams to move from prototype to production, including telemetry design, dashboards, CI guardrails, and quality regression tracking. Practical Elasticsearch experience, or experience with similar search and distributed data systems. ES|QL familiarity is a plus. Excellent written and verbal communication, with the ability to explain complex scientific and technical trade-offs to engineering, product, design, and leadership audiences. A collaborative, low-ego style and a strong ability to mentor, raise standards, and develop transparency for others in a distributed team. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: €67.000—€106.000 EUR Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U. S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.", "summaryDescription" : "Principal Data Scientist - Agent Builder at Elastic", "postedDate" : "2026-06-15T23:25:21.410", "createdAt" : "2026-06-15T23:25:21.410", "lastUpdated" : "2026-06-16T07:36:20.025", "ingestTimestamp" : "2026-06-15T23:25:21.410", "mongoId" : "6a305a6af292fd229cf5054a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305a6af292fd229cf5054c", "title" : "Principal Data Scientist - Agent Builder", "company" : "Elastic", "industry" : "Technology", "salary" : { "min" : 150000.0, "max" : 220000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Principal Data Scientist in the Technology industry in the Netherlands, adjusted for executive seniority and full-time employment." }, "location" : "Netherlands", "locations" : [ "Netherlands" ], "timestamp" : "2026-06-16T07:17:32.597", "fingerprint" : "83fb6be16f038229467f7084b3e657227affb388d25a5b5e6bd0376be1f2d78f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.elastic.co/jobs?gh_jid=8008504&gh_jid=8008504", "externalId" : "8008504", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Netherlands", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Netherlands", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Principal", "remoteFriendly" : true, "rawDescription" : "Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Search Conversational Experiences team builds Elastic’s new conversational and agentic platform that lets customers chat with their own data in Elasticsearch. We build the core quality layer for RAG, agents and tools, retrieval and citations, streaming, memory, and the evaluation signals that turn open-ended questions into grounded, reliable answers. As a Principal Data Scientist, you will help set the technical direction for how we evaluate, improve, and scale chat quality across Elastic’s agentic platform. You will define the evaluation strategy that guides product decisions, including which models we standardize on, how we route requests across agents, which tools we enable and when, and how we tailor agents to different Elastic use cases in search and beyond. You will work closely with backend engineering, product, UX, and other data scientists to turn ambiguous, cutting-edge problems into measurable product improvements. You’ll help lead work on frontier problems such as folding RAG and vector search into an agent’s knowledge base, dynamically enriching model context to improve groundedness, shaping reasoning strategies and tool-selection policies, lighting up agent-driven visualizations on top of Elasticsearch data, and exploring multimodality where it can create meaningful user value. This is an applied leadership role: you will prototype, evaluate, influence roadmap direction, and help teams ship improvements that customers can feel. What You Will Be Doing Define the evaluation strategy for conversational and agentic search, including offline and online evaluation, golden datasets, rubrics, LLM-as-judge calibration, groundedness and citation checks, and A/B testing. Lead the design of quality metrics and decision frameworks for RAG, agents, tools, model selection, agent routing, prompt behavior, and cost/latency trade-offs. Build, compare, and guide improvements across retrieval and re-ranking approaches, including sparse and dense retrieval, vector search, query understanding, semantic rewrites, and context enrichment. Turn experimental results into product and business decisions: which models to use, how to route requests efficiently, which tools should be exposed, and how agents should be customized for different Elastic use cases. Partner with engineering to productionize evaluation pipelines, telemetry, dashboards, CI guardrails, and regression detection for chat quality, helpfulness, dedication, latency, and cost. Influence the roadmap by identifying the highest-leverage quality gaps, proposing practical solutions, and communicating trade-offs clearly to product, engineering, and leadership. Mentor other data scientists and engineers in experiment design, evaluation methodology, statistical rigor, and practical approaches to improving LLM-powered systems. Share outcomes through clear docs, notebooks, PRs, dashboards, technical proposals, and cross-functional reviews. What You Bring 8+ years of applied DS/ML experience, with deep expertise in IR, NLP, ranking, semantic search, RAG, or LLM-powered product experiences. Strong track record defining and leading evaluation for production AI/ML systems, including offline metrics, online experimentation, LLM-as-judge approaches, groundedness, citation quality, and model comparison. Experience influencing product and technical strategy through data, especially in ambiguous or emerging domains where the “right” metric or approach is not obvious at the start. Hands-on ability with Python, PyTorch/Transformers, Pandas, notebooks, reproducible experiments, versioned datasets, and clean, reviewable code. Strong understanding of retrieval systems, including dense and sparse retrieval, re-ranking, vector search, query understanding, and evaluation metrics such as nDCG, MRR, Recall@k, precision,and latency/cost trade-offs. Experience collaborating closely with engineering teams to move from prototype to production, including telemetry design, dashboards, CI guardrails, and quality regression tracking. Practical Elasticsearch experience, or experience with similar search and distributed data systems. ES|QL familiarity is a plus. Excellent written and verbal communication, with the ability to explain complex scientific and technical trade-offs to engineering, product, design, and leadership audiences. A collaborative, low-ego style and a strong ability to mentor, raise standards, and develop transparency for others in a distributed team. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: 831 700 kr—1 315 600 kr SEK Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U. S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.", "summaryDescription" : "Principal Data Scientist - Agent Builder at Elastic", "postedDate" : "2026-06-15T23:24:36.526", "createdAt" : "2026-06-15T23:24:36.526", "lastUpdated" : "2026-06-16T07:17:32.597", "ingestTimestamp" : "2026-06-15T23:24:36.526", "mongoId" : "6a305a6af292fd229cf5054c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305a6af292fd229cf5054b", "title" : "Principal Data Scientist - Agent Builder", "company" : "Elastic", "industry" : "Technology", "salary" : { "min" : 145000.0, "max" : 215000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Principal Data Scientist in the Technology industry in the Netherlands, adjusted for executive seniority and full-time employment." }, "location" : "Netherlands", "locations" : [ "Netherlands" ], "timestamp" : "2026-06-16T10:08:58.213", "fingerprint" : "6c178ddd639013f96ee2ba83d5834512f7afcf12c54c3c726385d95d5fe35e21", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.elastic.co/jobs?gh_jid=8008495&gh_jid=8008495", "externalId" : "8008495", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Netherlands", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Netherlands", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Principal", "remoteFriendly" : true, "rawDescription" : "Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Search Conversational Experiences team builds Elastic’s new conversational and agentic platform that lets customers chat with their own data in Elasticsearch. We build the core quality layer for RAG, agents and tools, retrieval and citations, streaming, memory, and the evaluation signals that turn open-ended questions into grounded, reliable answers. As a Principal Data Scientist, you will help set the technical direction for how we evaluate, improve, and scale chat quality across Elastic’s agentic platform. You will define the evaluation strategy that guides product decisions, including which models we standardize on, how we route requests across agents, which tools we enable and when, and how we tailor agents to different Elastic use cases in search and beyond. You will work closely with backend engineering, product, UX, and other data scientists to turn ambiguous, cutting-edge problems into measurable product improvements. You’ll help lead work on frontier problems such as folding RAG and vector search into an agent’s knowledge base, dynamically enriching model context to improve groundedness, shaping reasoning strategies and tool-selection policies, lighting up agent-driven visualizations on top of Elasticsearch data, and exploring multimodality where it can create meaningful user value. This is an applied leadership role: you will prototype, evaluate, influence roadmap direction, and help teams ship improvements that customers can feel. What You Will Be Doing Define the evaluation strategy for conversational and agentic search, including offline and online evaluation, golden datasets, rubrics, LLM-as-judge calibration, groundedness and citation checks, and A/B testing. Lead the design of quality metrics and decision frameworks for RAG, agents, tools, model selection, agent routing, prompt behavior, and cost/latency trade-offs. Build, compare, and guide improvements across retrieval and re-ranking approaches, including sparse and dense retrieval, vector search, query understanding, semantic rewrites, and context enrichment. Turn experimental results into product and business decisions: which models to use, how to route requests efficiently, which tools should be exposed, and how agents should be customized for different Elastic use cases. Partner with engineering to productionize evaluation pipelines, telemetry, dashboards, CI guardrails, and regression detection for chat quality, helpfulness, dedication, latency, and cost. Influence the roadmap by identifying the highest-leverage quality gaps, proposing practical solutions, and communicating trade-offs clearly to product, engineering, and leadership. Mentor other data scientists and engineers in experiment design, evaluation methodology, statistical rigor, and practical approaches to improving LLM-powered systems. Share outcomes through clear docs, notebooks, PRs, dashboards, technical proposals, and cross-functional reviews. What You Bring 8+ years of applied DS/ML experience, with deep expertise in IR, NLP, ranking, semantic search, RAG, or LLM-powered product experiences. Strong track record defining and leading evaluation for production AI/ML systems, including offline metrics, online experimentation, LLM-as-judge approaches, groundedness, citation quality, and model comparison. Experience influencing product and technical strategy through data, especially in ambiguous or emerging domains where the “right” metric or approach is not obvious at the start. Hands-on ability with Python, PyTorch/Transformers, Pandas, notebooks, reproducible experiments, versioned datasets, and clean, reviewable code. Strong understanding of retrieval systems, including dense and sparse retrieval, re-ranking, vector search, query understanding, and evaluation metrics such as nDCG, MRR, Recall@k, precision,and latency/cost trade-offs. Experience collaborating closely with engineering teams to move from prototype to production, including telemetry design, dashboards, CI guardrails, and quality regression tracking. Practical Elasticsearch experience, or experience with similar search and distributed data systems. ES|QL familiarity is a plus. Excellent written and verbal communication, with the ability to explain complex scientific and technical trade-offs to engineering, product, design, and leadership audiences. A collaborative, low-ego style and a strong ability to mentor, raise standards, and develop transparency for others in a distributed team. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: €102.700—€162.500 EUR Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U. S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.", "summaryDescription" : "Principal Data Scientist - Agent Builder at Elastic", "postedDate" : "2026-06-15T23:23:07.738", "createdAt" : "2026-06-15T23:23:07.738", "lastUpdated" : "2026-06-16T10:08:58.213", "ingestTimestamp" : "2026-06-15T23:23:07.738", "mongoId" : "6a305a6af292fd229cf5054b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c5f3774d8ee00a08e9fe7", "title" : "Director, Formulation Development", "company" : "Empower Pharmacy", "industry" : "Healthcare", "salary" : { "min" : 185000.0, "max" : 275000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director of Formulation Development in Houston, United States, adjusted for industry and seniority." }, "location" : "Houston, Texas, United States", "locations" : [ "Houston", "Texas", "United States" ], "timestamp" : "2026-06-15T00:05:45.271", "fingerprint" : "eafcba536b76a8707f783b272be59cd7a6447aed6fe68c40ec145444d14d717a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.empowerpharmacy.com/jobs/4247897009?gh_jid=4247897009", "externalId" : "4247897009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Houston", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.7589382,-95.3676974" } ], "locationText" : "Houston, Texas, United States", "experienceMinYears" : 10, "experienceLevel" : "Director", "teamCollaboration" : "Cross functional initiatives", "domainKnowledge" : "Pharmaceutical manufacturing; Compounding pharmacy", "domainList" : [ "pharmaceutical-manufacturing", "compounding-pharmacy" ], "domainSpecificKnowledge" : [ "Pharmaceutical manufacturing", "Compounding pharmacy" ], "communicationSkills" : "Tailors messages", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Solves complex challenges", "specialRequirements" : "Talk and hear, Remain stationary, Use hands and fingers, Move about office, Stand, walk, reach, Climb or balance, Stoop, kneel, crouch, crawl", "outcomesObjectives" : "Improve development efficiency; Improve operational execution", "workSiteFlexibility" : "Onsite", "rawDescription" : "Empower Pharmacy is a visionary healthcare company dedicated to making quality, affordable medication accessible to millions of patients nationwide. As the nation’s most advanced 503A compounding pharmacy and FDA-registered 503B outsourcing facility, we’re redefining what’s possible in personalized medicine and pharmaceutical manufacturing. We’re proud to be recognized as one of Houston’s fastest-growing private companies and ranked #116 in Healthcare advanced degree preferred. Minimum ten years of progressive formulation development experience with demonstrated leadership supporting complex scientific and cross functional initiatives. Proven experience leading formulation strategy, technology transfer, process optimization, and commercialization within highly regulated manufacturing or pharmaceutical environments. Demonstrated success building high performing technical teams, driving scalability, and delivering measurable business impact within fast paced organizations. Experience utilizing AI enabled technologies, advanced analytics, or digital scientific platforms to improve development efficiency and operational execution preferred. Key Competencies: Customer Focus: Builds trust through customer-centric solutions. Strategic AI: Guides responsible AI adoption and adaptation. Optimizes Work Processes: Drives efficiency with continuous improvement. Collaborates: Partners effectively to achieve shared goals. Resourcefulness: Secures and deploys resources efficiently. Manages Complexity: Simplifies and solves complex challenges. Ensures Accountability: Delivers on commitments with integrity. Situational Adaptability: Adjusts approach to shifting conditions. Communicates Effectively: Tailors messages to diverse audiences. Values: People: Empowering people defines who we are. Quality: Excellence in every product, every time. Service: Serving others is our highest purpose. Innovation: Advancing care through technology and discovery. Employee Benefits, Health and Wellness: We offer comprehensive benefits to support your health, well-being, and future, including medical, dental, and vision coverage, paid time off, 401(k) matching, wellness perks, IV therapy, and compounded medications. Learn more: https://careers.empowerpharmacy.com/benefits/ Physical Requirements: While performing the responsibilities of the job, the employee is required to talk and hear. The employee is often required to remain in a stationary position for a significant amount of the workday and frequently use their hands and fingers to handle or feel in order to access, input, and retrieve information from the computer and other office productivity devices. Employees are regularly required to move about the office and around the corporate campus. The employee is regularly required to stand, walk, reach with arms and hands, climb or balance, and to stoop, kneel, crouch or crawl.", "summaryDescription" : "Director, Formulation Development at Empower Pharmacy", "postedDate" : "2026-06-12T22:06:46.876", "createdAt" : "2026-06-12T22:06:46.876", "lastUpdated" : "2026-06-15T00:05:45.271", "ingestTimestamp" : "2026-06-12T22:06:46.876", "mongoId" : "6a2c5f3774d8ee00a08e9fe7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 185000, "salaryAnnualMax" : 275000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Pharmaceutical manufacturing", "Compounding pharmacy" ], "skillCount" : 2, "jobCategory" : "other", "jobSubcategory" : "r&d", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare" }, { "id" : "6a2c5dc274d8ee00a08de4d6", "title" : "Mission Formulation Engineer", "company" : "Advanced Space", "industry" : "Space Industry", "salary" : { "min" : 145000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Mission Formulation Engineers in Westminster, United States, adjusted for the aerospace industry and company size." }, "location" : "Westminster, Colorado, United States", "locations" : [ "Westminster", "Colorado", "United States" ], "timestamp" : "2026-06-15T00:48:21.595", "fingerprint" : "86ec439ba4447cb1e444660382d18c44733fd467d3b2f8fbe7b1a9af95d160ad", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/advancedspace/jobs/4273922009", "externalId" : "4273922009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Westminster", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.8366528,-105.0372046" } ], "locationText" : "Westminster, Colorado, United States", "experienceMinYears" : 8, "experienceMaxYears" : 12, "experienceLevel" : "Senior", "technicalSkills" : "Python", "professionalSkills" : [ "Systems engineering", "Mission planning", "Concept development", "Trade studies", "Resource budgets", "Concepts of operations", "Mission design", "Orbit selection", "Trajectory selection", "Maneuver analysis", "Coverage analysis", "Technical proposals", "Customer-facing development" ], "hardSkillsList" : [ "Propulsion", "GNC", "Comms", "Operations", "Astrodynamics", "Navigation", "Spectrum analysis", "Operability assessment" ], "softSkillsList" : [ "Decisive", "Dependable", "Judgment" ], "hardSkills" : [ { "name" : "Propulsion", "level" : "intermediate" }, { "name" : "GNC", "level" : "intermediate" }, { "name" : "Comms", "level" : "intermediate" }, { "name" : "Operations", "level" : "intermediate" }, { "name" : "Astrodynamics", "level" : "intermediate" }, { "name" : "Navigation", "level" : "intermediate" }, { "name" : "Spectrum analysis", "level" : "intermediate" }, { "name" : "Operability assessment", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Decisive" }, { "name" : "Dependable" }, { "name" : "Judgment" } ], "majorSkills" : "Mission formulation, Systems engineering, Concept development, Trade studies", "majorSkillsList" : [ "Mission formulation", "Systems engineering", "Concept development", "Trade studies" ], "coreResponsibilities" : "Lead early-phase mission studies, Develop new mission concepts, Mature mission concepts, Down-select viable options, Translate customer objectives, Define top-level requirements, Shape concepts of operations, Define trade studies, Weigh architecture feasibility, Weigh architecture performance, Weigh architecture cost, Weigh architecture risk, Drive down-select decisions, Develop resource budgets, Balance resource budgets, Validate candidate concepts, Own concept-level mission design, Select orbit, Select trajectory, Perform maneuver analysis, Perform coverage analysis, Coordinate with astrodynamics, Coordinate with navigation, Shape mission concepts, Mature mission concepts, Present technical options, Guide concept transition, Lead early system reviews, Handoff leadership for reviews, Provide technical guidance, Develop subsystem concepts, Identify technical risks, Manage technical risks, Identify maturity risks, Manage maturity risks, Identify feasibility risks, Manage feasibility risks, Assess concept viability, Coordinate technical experts, Close concepts as integrated wholes, Develop compelling proposals, Develop rigorous proposals", "teamCollaboration" : "Cross-functional teams; Subsystem teams", "domainKnowledge" : "Space industry; Orbital debris; Regulatory constraints; Operational constraints", "domainList" : [ "space-industry", "orbital-debris", "regulatory-constraints", "operational-constraints" ], "domainSpecificKnowledge" : [ "Space industry", "Orbital debris", "Regulatory constraints", "Operational constraints" ], "toolProficiency" : [ "Analysis tooling" ], "communicationSkills" : "Customer-facing; Technical options", "innovationCreativity" : "Inexhaustible curiosity", "problemSolvingSkills" : "Undefined problems", "specialRequirements" : "Work in Westminster office, US Persons only, No visa sponsorship", "outcomesObjectives" : "Meet customer needs; Viable down-select options", "qualificationsBasic" : "8-12 years of experience, US Person status, Authorized to work in US without sponsorship", "qualificationsPreferred" : "DoD space program experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The team at Advanced Space is leading humanity back to the Moon and pioneering innovative solutions in the space industry. Based in Westminster Colorado, this incredible team is looking for a skilled and experienced Mission Formulation Engineer with 8-12 years of experience to support a growing list of projects and missions. Advanced Space is a rapidly growing, privately held business that operates with core values that reinforce we are customer obsessed and mission focused; when we see it, we solve it; we are one team, motivated by our vision; and we bring technical excellence and inexhaustible curiosity. This role will be based in Westminster, Colorado and an ideal candidate for this role will love not just the responsibilities but will also have a passion for the exploration, development, and settlement of space. This person will play an integral role in ensuring that our fast-paced and growing team is properly aligned and equipped to support mission planning, operations, and technological development. This position is restricted to U. S. Persons only, as defined under 22 CFR §120.62 (U. S. citizens, lawful permanent residents, refugees, and asylees). We do not provide visa sponsorship or support work authorization for this role. Candidates must be authorized to work in the U. S. without the need for current or future sponsorship. We're defining missions before they become missions. As a Mission Formulation Engineer, you'll work at the front end of the lifecycle, where requirements are still open and the architecture is still a question. You'll translate ambiguous customer needs into credible mission concepts, lead trade studies across competing architectures, size mission designs and resource budgets, shape concepts of operations, and execute the quick-turn analysis that results in viable down-select options with confidence. This position requires a broad systems engineering purview across multiple disciplines: you'll reason across propulsion, GNC, comms, and operations well enough to know what closes and what doesn't, and comfortable working before the answers are fixed. You bring the judgment to navigate undefined problems. We bring the missions that need defining. Together, we decide what flies to meet our customers’ needs. Responsibilities: Lead early-phase mission studies and concept development for new and upcoming missions, from initial objectives through concept maturation and down-select of viable options Translate customer mission objectives into mission concepts, top-level system requirements, and concepts of operations (ConOps) Define and lead trade studies across competing mission architectures, weighing feasibility, performance, cost, and risk to drive down-select decisions Develop and balance system-level resource budgets (delta-v, mass, power, link, data) and validate candidate concepts against mission performance requirements Own concept-level mission design, including orbit and trajectory selection, maneuver, and coverage analysis, in coordination with astrodynamics and navigation teams Work directly with customers to shape and mature mission concepts, present technical options, and guide the transition from concept to a baselined design Lead or handoff leadership for early system reviews (MCR, SRR, SDR) and provide technical guidance to subsystem concept development (GNC, ADCS, comms, propulsion, EPS, etc.) Proactively identify and manage technical, maturity (TRL), and feasibility risks across the formulation phase Assess concept viability against regulatory and operational constraints, including orbital debris, spectrum, and operability considerations Coordinate a broad range of technical experts, spanning astrodynamics, GNC, navigation, communications, and systems engineering, to close concepts as integrated wholes Lead the development of compelling, technically rigorous proposals for future missions Required Skills DoD space program experience a plus Programming proficiency for analysis and trade tooling, Python preferred Experience supporting technical proposals and customer-facing concept development Thrives amid evolving and ambiguous technical needs: adaptable, decisive, and dependable Strong communicator and leader, able to mentor, delegate, and drive cross-functional teams Customer-focused, technically sharp, and forward-looking Eligibility Requirements: Ability to work in the Westminster, CO office 5 days/week during core business hours. Applicants must be a US Person (citizen or Green Card Holder/permanent resident, or protected individual) Compensation and Benefits: Base Salary Range – $134,000 - $170,000 based on role and experience Signing bonus Quarterly performance bonuses Company provided health insurance and 401K plan upon eligibility Fully stocked breakroom with free snacks, drinks, and grab-and-go options Flexible PTO Relocation Assistance About the company: Advanced Space exists to enable the sustainable exploration, development, and settlement of space through software and services that leverage unique subject matter expertise. The company is actively supporting mission and cutting-edge capabilities spanning commercial, civil, and national security customers. Our core business is focused on three areas: (1) mission enabling services, (2) technology solutions and (3) mission solutions. Through its mission enabling services, Advanced Space provides mission and flight optimization, mission design, mission systems engineering. With its technology solutions Advanced Space provides its customers with trusted AI/ML/autonomy expertise, flight-demonstrated applications, and analysis at scale. Advanced Space offers Mission Solutions with unique turn-key missions, data and capabilities purchases and demonstrated cislunar and Martian success. Advanced Space is mission focused as the owner and operator of CAPSTONE™ for NASA and Prime contractor for Oracle for AFRL. These competencies are leveraged by a dynamic, flexible, and agile team with cross domain knowledge. We have a small but growing team that works collaboratively across projects. We provide flexibility, and an opportunity for passionate employees to contribute directly to meaningful projects. Trusted to take on the challenge, the team at Advanced Space is Delivering Innovation to Orbit™ to the Moon, Mars, and beyond. Advanced Space, LLC recruits, employs, trains, compensates and promotes regardless of race, religion, color, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law.", "summaryDescription" : "Mission Formulation Engineer at Advanced Space. Skills: Mission formulation, Systems engineering, Concept development, Trade studies. Lead early-phase mission studies. Develop new mission concepts", "postedDate" : "2026-06-12T21:36:38.048", "createdAt" : "2026-06-12T21:36:38.048", "lastUpdated" : "2026-06-15T00:48:21.595", "ingestTimestamp" : "2026-06-12T21:36:38.048", "mongoId" : "6a2c5dc274d8ee00a08de4d6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Propulsion", "GNC", "Comms", "Operations", "Astrodynamics", "Navigation", "Spectrum analysis", "Operability assessment", "Decisive", "Dependable", "Judgment", "Mission formulation", "Systems engineering", "Concept development", "Trade studies", "Mission planning", "Resource budgets", "Concepts of operations", "Mission design", "Orbit selection", "Trajectory selection", "Maneuver analysis", "Coverage analysis", "Technical proposals", "Customer-facing development", "Space industry", "Orbital debris", "Regulatory constraints", "Operational constraints", "Analysis tooling" ], "skillCount" : 30, "jobCategory" : "other", "jobSubcategory" : "systems", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Space Industry" }, { "id" : "6a2ca0ce74d8ee00a09a3594", "title" : "Staff / Principal Data Scientist", "company" : "Auror", "industry" : "Product", "salary" : { "min" : 157500.0, "max" : 225000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Remote - United States", "locations" : [ "Remote - United States" ], "timestamp" : "2026-06-15T06:21:48.680", "fingerprint" : "a3f3537d052566d251b3b04110945d1b0aab290d9a84544eed0a6d64c19e6bf0", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/auror/0f19a00b-ff17-400f-9d1e-79132dbf164b/application", "externalId" : "0f19a00b-ff17-400f-9d1e-79132dbf164b", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, SQL", "professionalSkills" : [ "Statistical analysis", "Causal inference", "Experimental design", "Model calibration", "Measurement", "Risk classification", "Shrink prediction", "Loss Prevention", "Fraud detection", "Asset Protection", "POS Analytics", "ETL Pipeline Design", "Data Modeling", "Data Architecture", "Responsible AI", "Geospatial risk modeling", "Network analytics", "Graph analytics", "Exception Based Reporting" ], "hardSkillsList" : [ "Statistical modeling", "Time series analysis", "Model calibration", "Causal inference", "Experimental thinking", "Risk classification", "Shrink prediction", "ETL pipeline design", "Data modeling", "Data architecture" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Time series analysis", "level" : "intermediate" }, { "name" : "Model calibration", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "Experimental thinking", "level" : "intermediate" }, { "name" : "Risk classification", "level" : "intermediate" }, { "name" : "Shrink prediction", "level" : "intermediate" }, { "name" : "ETL pipeline design", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data architecture", "level" : "intermediate" } ], "majorSkills" : "Predictive modeling, Statistical modeling, Loss Prevention, Fraud detection", "majorSkillsList" : [ "Predictive modeling", "Statistical modeling", "Loss Prevention", "Fraud detection" ], "coreResponsibilities" : "Own predictive modeling end-to-end, Own advanced analytics end-to-end, Frame ambiguous problems, Deploy predictive models, Focus on LP applications, Focus on AP applications, Design ETL pipelines, Build ETL pipelines, Standardize ETL pipelines, Support scalable predictive modeling, Build defensible metrics, Link metrics to decision outcomes, Partner with ML engineers, Productionize feature definitions, Productionize scoring workflows, Productionize monitoring signals, Productionize retraining triggers, Communicate model uncertainty, Communicate model value, Communicate strategic application, Design randomized controlled trials, Design evaluation harnesses", "teamCollaboration" : "Partner with ML engineers; Communicate to diverse audiences; Communicate to internal Product/Engineering; Communicate to external customers; Communicate to executive teams", "domainKnowledge" : "Retail Loss Prevention; Fraud detection; Asset Protection; POS Analytics; Responsible AI", "domainList" : [ "retail-loss-prevention", "fraud-detection", "asset-protection", "pos-analytics", "responsible-ai" ], "domainSpecificKnowledge" : [ "Retail Loss Prevention", "Fraud detection", "Asset Protection", "POS Analytics", "Responsible AI" ], "communicationSkills" : "Communicate clearly; Communicate concisely", "continuousLearning" : "Personal growth support; Courses; Conferences; Events", "innovationCreativity" : "Embracing AI potential; Curious about AI", "problemSolvingSkills" : "Ambiguous problem framing; Statistical modeling; Advanced analytics", "qualificationsBasic" : "Expertise in statistical modeling, Experience taking models from problem to shipped decision support, Domain expertise in Retail Loss Prevention, SQL + Python experience, Experience in ETL Pipeline Design, Experience in Data Modeling & Architecture, Practical approach to responsible AI", "qualificationsPreferred" : "Experience with geospatial risk modeling, Experience with network/graph analytics, Experience with Exception Based Reporting tools, Experience building customer-facing proofs-of-concept, Translating complex analytics into product features", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ABOUT AUROR At Auror, we’re empowering the retail industry to tackle theft and Organised Retail Crime, a $150 Billion problem globally. It’s high volume crime that’s increasingly organised in nature and is putting people, retailers, and communities at risk every day. Founded in New Zealand 12 years ago, we’re working with some of the best and largest retailers in the world across the US, Canada, Australia, New Zealand, and the UK. Auror is connecting people and intelligence to reduce crime. We’re using technology for good. Our mission is clear: reduce violent retail crime by 50% in 5 years. It's an ambitious goal - and one we believe is achievable. In partnership with our leading retail partners, we need people with the passion, determination, and innovation required to overcome one of the world's largest problems. If you’re looking to make a difference with and for the people dedicated to stopping crime, for good, then we want you on our team. We're also embracing the potential of AI to supercharge our impact - whether that's enhancing the way we detect trends, support our customers, or improve internal workflows. As a company, we're committed to responsibly incorporating AI into how we work and what we build, and we encourage all Aurors to be curious about how AI can elevate their work, regardless of role or function. THE ROLE Auror’s North American footprint is live and expanding. We need a highly practical and rigorous Data Scientist to build, productionize, and defend predictive models that customers can trust, especially for high-stakes operational decisions in Loss Prevention and Fraud detection (e.g., cashier risk scoring, deployment optimization, shrink prediction). This role fills a current need for deep statistical modeling expertise combined with real-world domain knowledge and the ability to ship robust analytics products. RESPONSIBILITIES - Own predictive modeling and advanced analytics end-to-end, from ambiguous problem framing to deployment, focusing on Loss Prevention (LP) and Asset Protection (AP) applications. - Design, build, and standardize ETL pipelines and data architecture necessary to support robust, scalable predictive modeling at scale. - Build defensible metrics (calibration, error tradeoffs, bias/disparity checks) and link them to measurable decision outcomes for C-suite and AP teams. - Partner with ML engineers to productionize: feature definitions, scoring workflows, monitoring signals, and retraining triggers. - Communicate clearly and concisely to diverse audiences (internal Product/Engineering, external customers, and executive teams) on model uncertainty, value, and strategic application. - Design randomized controlled trials and evaluation harnesses that make model quality legible to stakeholders and customers. REQUIREMENTS - Expertise in practical statistical modeling and analysis (inference, causal/experimental thinking, time series, model calibration, measurement) applied to real-world, messy data. - Demonstrated experience taking analyses/models from ambiguous problem → shipped decision support (e.g., shortage prediction, risk classification models). - Strong domain expertise in Retail Loss Prevention, Fraud detection, Asset Protection, or POS Analytics. - Strong SQL + Python, with demonstrated experience in ETL Pipeline Design and Data Modeling & Architecture. - Practical, high-integrity approach to responsible AI (limits, misuse risk, bias considerations, auditability). ⁠ NICE TO HAVES - Experience with geospatial risk modeling, network/graph analytics, or Exception Based Reporting (EBR) tools. - Experience building customer-facing proofs-of-concept and translating complex analytics into product features. - We are looking for people who demonstrate a strong alignment to our Guiding Principles (you can find these on our Careers page https://www.auror.co/company-careers). With diversity and inclusion at the forefront of Auror’s guiding principles, we promote a culture that celebrates diversity and inclusiveness at Auror, regardless of, but not limited to, race, gender, sexual orientation, family status, religion, ethnicity, national origin, physical disability, veteran status, or age. BENEFITS: - Competitive salary range: Depending on level of experience, between $[Salary band]. - Employee share scheme: You’ll own part of a company making a real difference! - Flexibility: We are hard-working and outcome focused, but recognise there is more to life than work. We promote a healthy work/life blend. - Shorter work weeks (at full pay): Everyone gets Friday afternoons off, so you can start your weekend early, and do more of whatever it is that makes you happy. - Focus on mental and physical health: We understand how vital our health is and have policies to support your wellness, including Wellness Days, and up to $500 for expert sessions every year. - Health care plan (Medical, Dental & Vision): Auror covers 100% of the cost of your individual health insurance plan with Anthem & Metlife. - Family-friendly: We offer comprehensive paid parental leave - 12 weeks for birth parents and 6 weeks for non-birth parents following birth, adoption, or surrogacy, available to all Aurors from day one. - Personal growth: We support our team to participate in courses, conferences, or events that will help them develop their skills. - Team love: We have regular team lunches and social events where most (if not all) activities are during work hours. What are the next steps? If you’re excited about our mission and you have the experience and a passion for this role, please hit “Apply”. If you’re not sure that you tick all the boxes but feel you’re close to what we’re looking for, please apply anyway! We’re proud that Auror is a place where everyone can learn and grow so we’d love to hear from you. You'll be asked to submit a cover letter as part of your application. While this is optional we do encourage it, as we find cover letters can tell a story that resumes alone often cannot. Our hiring team love to understand what attracted you to this role and why you are excited about the opportunity to join Auror. Once you apply, you’ll hear from us to acknowledge your application. If you have questions about any of the above, or if you have any accessibility requirements, we’ll be able to help you from there.", "summaryDescription" : "Staff / Principal Data Scientist at Auror. Skills: Predictive modeling, Statistical modeling, Loss Prevention, Fraud detection. Own predictive modeling end-to-end. Own advanced analytics end-to-end", "createdAt" : "2026-06-13T21:49:22.636", "lastUpdated" : "2026-06-15T06:21:48.680", "ingestTimestamp" : "2026-06-13T21:49:22.636", "mongoId" : "6a2ca0ce74d8ee00a09a3594", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 157500, "salaryAnnualMax" : 225000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Statistical modeling", "Time series analysis", "Model calibration", "Causal inference", "Experimental thinking", "Risk classification", "Shrink prediction", "ETL pipeline design", "Data modeling", "Data architecture", "Predictive modeling", "Loss Prevention", "Fraud detection", "Statistical analysis", "Experimental design", "Measurement", "Asset Protection", "POS Analytics", "ETL Pipeline Design", "Data Modeling", "Data Architecture", "Responsible AI", "Geospatial risk modeling", "Network analytics", "Graph analytics", "Exception Based Reporting", "Retail Loss Prevention" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30872bf292fd229c08682a", "title" : "Principal Scientist, Lentivirus Downstream Process Development", "company" : "Legend Biotech", "industry" : "Biotech", "salary" : { "min" : 146410.0, "max" : 192164.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Somerset, New Jersey, United States", "locations" : [ "Somerset", "New Jersey", "United States" ], "timestamp" : "2026-06-16T10:10:10.746", "fingerprint" : "30ce75b581742f4b4c5865aeb50ecd1d9c003e26c177b21bea469c2472692342", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/legendcareers/jobs/4706012005", "externalId" : "4706012005", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Somerset", "state" : "New Jersey", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.5675084,-74.6189556" } ], "locationText" : "Somerset, New Jersey, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Lentivirus, Viral vectors, Cell therapies, TCR-T, NK cell, Biotechnology, Chemical Engineering, Biomedical Engineering, Virology, Molecular Biology, Purification, Chromatography, TFF, GMP, CMC, IND, IMPD, Engineering modeling, Optimization", "professionalSkills" : [ "Process development", "Manufacturing", "Project management", "Tech transfer", "Regulatory compliance", "Scientific rigor", "Continuous improvement", "Strategic focus", "Troubleshooting" ], "hardSkillsList" : [ "Vector recovery", "Vector purity", "Vector potency" ], "softSkillsList" : [ "Leadership", "Emotional intelligence" ], "hardSkills" : [ { "name" : "Vector recovery", "level" : "intermediate" }, { "name" : "Vector purity", "level" : "intermediate" }, { "name" : "Vector potency", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Emotional intelligence" } ], "majorSkills" : "Viral Vector Purification, Process Development, GMP Manufacturing", "majorSkillsList" : [ "Viral Vector Purification", "Process Development", "GMP Manufacturing" ], "coreResponsibilities" : "Implement state-of-the-art knowledge management for DSP data, Communicate potential issues and delays, Communicate solutions and mitigation approaches, Identify project acceleration opportunities, Leverage advanced science and technology, Maximize vector recovery, purity, and potency, Identify creative solutions to define unknowns, Guide a team of scientists, Foster a culture of transparency, Foster a culture of scientific rigor, Foster a culture of continuous improvement, Author technical documents, Review technical documents, Work closely with Upstream Process Development, Work closely with Analytical Development, Ensure integrated process outcomes, Ensure holistic process outcomes, Tech transfer process, Resolve conflict, Proactively identify performance issues, Address performance issues, Ensure compliance with regulatory requirements", "teamCollaboration" : "Senior Leaders; CMC Project Manager; Project Leader; Technical leads; Upstream Process Development; Analytical Development", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Viral vector field; GMP manufacturing requirements; CMC strategies; Early-phase clinical trials", "domainList" : [ "viral-vector-field", "gmp-manufacturing-requirements", "cmc-strategies", "early-phase-clinical-trials" ], "domainSpecificKnowledge" : [ "Viral vector field", "GMP manufacturing requirements", "CMC strategies", "Early-phase clinical trials" ], "communicationSkills" : "Technical documentation; Regulatory submissions", "documentationSkills" : "Development reports; SOPs; CMC sections", "innovationCreativity" : "Creative solutions", "problemSolvingSkills" : "Troubleshooting skills", "outcomesObjectives" : "Maximize vector recovery; Maximize vector purity; Maximize vector potency", "qualificationsBasic" : "PhD or MS degree, 8+ years (PhD) experience, 10+ years (MS) experience, Deep technical hands-on experience in purification, Deep technical hands-on experience in chromatography, Deep technical hands-on experience in TFF, Understanding of GMP manufacturing, Understanding of CMC strategies, Deep knowledge in cell technologies, Deep knowledge in lentiviral vector technologies, Ability to implement closed-system processes, Ability to maximize cost effectiveness, Knowledge in engineering modeling, Knowledge in optimization, Excellent leadership, Excellent emotional intelligence, Excellent communication", "qualificationsPreferred" : "PhD preferred, Developing vector processes for CAR-T, Developing vector processes for systemic delivery, Handling large scale (>50L) purification process, Mandarin language is a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Legend Biotech is a global biotechnology company dedicated to treating, and one day curing, life-threatening diseases. Headquartered in Somerset, New Jersey, we are developing advanced cell therapies across a diverse array of technology platforms, including autologous and allogenic chimeric antigen receptor T-cell, T-cell receptor (TCR-T), and natural killer (NK) cell-based immunotherapy. From our three R implement state-of-the-art knowledge management for DSP data. Communicate the potential for issues and delays along with solutions and mitigation approaches. In collaboration with the Senior Leaders, CMC Project Manager, Project Leader, and other technical leads identify project acceleration opportunities. Leverage advanced science and technology to maximize vector recovery, purity, and potency, identifying creative solutions to define unknowns in the viral vector field. Guide a team of scientists in the execution of project-specific activities, fostering a culture of transparency, scientific rigor, and continuous improvement. Author and serve as a primary reviewer for technical documents, including development reports, SOPs, and CMC sections for regulatory submissions (IND/IMPD). Work closely with Upstream Process Development and Analytical Development teams to ensure integrated and holistic process outcomes. Tech transfer process to/from other Legend sites or CDMOs Resolve conflict and proactively identify/address performance issues. Ensure compliance with regulatory requirements. Requirements Advanced degree (PhD preferred, or MS) in Chemical Engineering, Biomedical Engineering, Virology, Molecular Biology, or a related field. 8+ years (PhD) or 10+ years (MS) of experience in process development or manufacturing within a biotech or pharmaceutical setting. Deep technical hands-on experience in purification, chromatography, and TFF specifically for viral vectors (Lentivirus preferred) Strong understanding of GMP manufacturing requirements and CMC strategies for early-phase clinical trials. Deep knowledge and hands-on experiences in cell and lentiviral vector technologies within the current emerging field Ability to implement closed-system processes and maximize cost effectiveness Strong knowledge in engineering modeling and optimization. Excellent leadership, emotional intelligence, and communication skills; ability to maintain composure and strategic focus during challenging development timelines. Creative, strategic thinking Strong troubleshooting skills Preferred experience in developing vector processes tailored for CAR-T generation and systemic delivery Preferred experience in handling large scale(>50L) purification process. Language: English. Mandarin is a plus. #Li-JR1 #Li-Hybrid The base pay range below is what Legend Biotech USA Inc. reasonably expects to offer at the time of posting. Actual compensation may vary based on experience, skills, qualifications, and geographic location. The company reserves the right to modify this range as needed and in accordance with applicable laws. Other Types of Pay: Performance-based bonus and/or equity is available to employees in eligible roles. Benefits and Paid Time Off: Medical, dental, and vision insurance as well as a 401(k) retirement plan with a company match that vests fully on day one. We offer eight (8) weeks of paid parental leave after just three (3) months of employment, and a paid time off policy that includes vacation time, personal time, sick time, floating holidays, and eleven (11) company holidays. Additional voluntary benefits include flexible spending and health savings accounts, life and AD demonstrating our ongoing commitment to building a culture where our people feel empowered, supported, and inspired to do their best work. Pay Range (Base Pay): $146,410—$192,164 USD Please note: These benefits are offered exclusively to permanent full-time employees. Contractors are not eligible for benefits through Legend Biotech. EEO Statement It is the policy of Legend Biotech to provide equal employment opportunities without regard to actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, related medical conditions and lactation), gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, disability, genetic information, or any other protected characteristic under applicable federal, state or local laws or ordinances. Employment is at-will and may be terminated at any time with or without cause or notice by the employee or the company. For information related to our privacy notice, please review: Legend Biotech Privacy Notice.", "summaryDescription" : "Principal Scientist, Lentivirus Downstream Process Development at Legend Biotech. Skills: Viral Vector Purification, Process Development, GMP Manufacturing. Implement state-of-the-art knowledge management for DSP data. Communicate potential issues and delays", "postedDate" : "2026-06-16T01:22:16.605", "createdAt" : "2026-06-16T01:22:16.605", "lastUpdated" : "2026-06-16T10:10:10.746", "ingestTimestamp" : "2026-06-16T01:22:16.605", "mongoId" : "6a30872bf292fd229c08682a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 146410, "salaryAnnualMax" : 192164, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Vector recovery", "Vector purity", "Vector potency", "Leadership", "Emotional intelligence", "Viral Vector Purification", "Process Development", "GMP Manufacturing", "Process development", "Manufacturing", "Project management", "Tech transfer", "Regulatory compliance", "Scientific rigor", "Continuous improvement", "Strategic focus", "Troubleshooting", "Viral vector field", "GMP manufacturing requirements", "CMC strategies", "Early-phase clinical trials" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30872bf292fd229c08682b", "title" : "Principal Scientist, Upstream Process, Process Development", "company" : "Legend Biotech", "industry" : "Biotech", "salary" : { "min" : 146410.0, "max" : 192164.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Somerset, New Jersey, United States", "locations" : [ "Somerset", "New Jersey", "United States" ], "timestamp" : "2026-06-16T10:46:06.092", "fingerprint" : "6a9a03ed4722086d519f0ca78f36667e4eac56fc0784b1643134bbc33c4a68c5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/legendcareers/jobs/4706014005", "externalId" : "4706014005", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Somerset", "state" : "New Jersey", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.5675084,-74.6189556" } ], "locationText" : "Somerset, New Jersey, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "MS", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Chemical Engineering, Biomedical Engineering, Virology, Molecular Biology, Mammalian cell culture, HEK293, HEK293T, Seed train expansion, Feeding strategy, Transient transfection, Viral vectors, Lentivirus, Bioreactor, Engineering modeling, Mass transfer, Bioprocess optimization", "professionalSkills" : [ "Process development", "Manufacturing", "Scale-up models", "Scale-down models", "CMC strategies", "Tech transfer" ], "hardSkillsList" : [ "Cell culture", "Transfection optimization", "Bioreactor operation", "Process optimization", "Regulatory compliance" ], "softSkillsList" : [ "Leadership", "Emotional intelligence", "Strategic thinking", "Troubleshooting" ], "hardSkills" : [ { "name" : "Cell culture", "level" : "intermediate" }, { "name" : "Transfection optimization", "level" : "intermediate" }, { "name" : "Bioreactor operation", "level" : "intermediate" }, { "name" : "Process optimization", "level" : "intermediate" }, { "name" : "Regulatory compliance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Emotional intelligence" }, { "name" : "Strategic thinking" }, { "name" : "Troubleshooting" } ], "majorSkills" : "Upstream Process Development, Viral Vector Production, Bioreactor Scale-up, Process Optimization", "majorSkillsList" : [ "Upstream Process Development", "Viral Vector Production", "Bioreactor Scale-up", "Process Optimization" ], "coreResponsibilities" : "Implement state-of-the-art knowledge management, Communicate potential issues and delays, Communicate solutions and mitigation approaches, Identify project acceleration opportunities, Leverage science and technology, Maximize vector titer, Maximize specific productivity, Maximize quality, Identify creative solutions, Define unknowns in viral vector production, Guide scientists in project execution, Foster culture of transparency, Foster culture of scientific rigor, Foster culture of continuous improvement, Author technical documents, Review technical documents, Work closely with Downstream Process Development, Work closely with Analytical Development, Ensure integrated process outcomes, Ensure holistic process outcomes, Perform tech transfer, Resolve conflict, Proactively identify performance issues, Address performance issues, Ensure compliance with regulatory requirements", "teamCollaboration" : "Senior Leaders; CMC Project Manager; Project Leader; Technical leads; Downstream Process Development; Analytical Development", "projectManagementSkills" : [ "Project acceleration" ], "domainKnowledge" : "Biotechnology; Cell therapies; Viral vector production; Mammalian cell culture; Lentivirus; GMP manufacturing; CMC strategies; Early-phase clinical trials; Engineering modeling; Mass transfer; Bioprocess optimization", "domainList" : [ "biotechnology", "cell-therapies", "viral-vector-production", "mammalian-cell-culture", "lentivirus", "gmp-manufacturing", "cmc-strategies", "early-phase-clinical-trials", "engineering-modeling", "mass-transfer", "bioprocess-optimization" ], "domainSpecificKnowledge" : [ "Biotechnology", "Cell therapies", "Viral vector production", "Mammalian cell culture", "Lentivirus", "GMP manufacturing", "CMC strategies", "Early-phase clinical trials", "Engineering modeling", "Mass transfer", "Bioprocess optimization" ], "toolProficiency" : [ "Bioreactors" ], "communicationSkills" : "Technical documentation; Regulatory submissions", "documentationSkills" : "Development reports; SOPs; CMC sections", "innovationCreativity" : "Creative solutions", "problemSolvingSkills" : "Troubleshooting skills", "outcomesObjectives" : "Maximize vector titer; Maximize specific productivity; Maximize quality", "qualificationsBasic" : "MS or PhD, 8+ years (PhD) experience, 10+ years (MS) experience, Mammalian cell culture experience, Seed train expansion experience, Feeding strategy experience, Transient transfection optimization experience, Viral vector experience, Lentivirus experience, Bioreactor scale-up models experience, Bioreactor scale-down models experience, GMP manufacturing requirements knowledge, CMC strategies knowledge, Cell technology knowledge, Lentiviral vector technology knowledge, Engineering modeling knowledge, Mass transfer knowledge, Bioprocess optimization knowledge", "qualificationsPreferred" : "PhD preferred, Large-scale bioreactor processes experience, Mandarin language a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "Legend Biotech is a global biotechnology company dedicated to treating, and one day curing, life-threatening diseases. Headquartered in Somerset, New Jersey, we are developing advanced cell therapies across a diverse array of technology platforms, including autologous and allogenic chimeric antigen receptor T-cell, T-cell receptor (TCR-T), and natural killer (NK) cell-based immunotherapy. From our three R implement state-of-the-art knowledge management for USP data. Communicate the potential for issues and delays along with solutions and mitigation approaches. In collaboration with the Senior Leaders, CMC Project Manager, Project Leader, and other technical leads, identify project acceleration opportunities. Leverage advanced science and technology to maximize vector titer, specific productivity, and quality, identifying creative solutions to define unknowns in the viral vector production field. Guide a team of scientists in the execution of project-specific activities, fostering a culture of transparency, scientific rigor, and continuous improvement. Author and serve as a primary reviewer for technical documents, including development reports, SOPs, and CMC sections for regulatory submissions (IND). Work closely with Downstream Process Development and Analytical Development teams to ensure integrated and holistic process outcomes. Tech transfer process to/from other Legend sites or CDMOs. Resolve conflict and proactively identify/address performance issues. Ensure compliance with regulatory requirements. Requirements Advanced degree (PhD preferred, or MS) in Chemical Engineering, Biomedical Engineering, Virology, Molecular Biology, or a related field. 8+ years (PhD) or 10+ years (MS) of experience in process development or manufacturing within a biotech or pharmaceutical setting Deep technical hands-on experience in mammalian cell culture (HEK293, HEK293T), seed train expansion, feeding strategy and transient transfection optimization specifically for viral vectors (Lentivirus preferred). Proven expertise in developing and implementing bioreactor scale-up and scale-down models. Strong understanding of GMP manufacturing requirements and CMC strategies for early-phase clinical trials. Deep knowledge and hands-on experiences in cell and lentiviral vector technologies within the current emerging field Strong knowledge in engineering modeling, mass transfer, and bioprocess optimization. Excellent leadership, emotional intelligence, and communication skills; ability to maintain composure and strategic focus during challenging development timelines. Creative, strategic thinking. Strong troubleshooting skills Preferred experience in handling large-scale (>50L, e.g., 200L/500L) upstream bioreactor processes. Language(s): English. Mandarin is a plus. #Li-JR1 #Li-Onsite The base pay range below is what Legend Biotech USA Inc. reasonably expects to offer at the time of posting. Actual compensation may vary based on experience, skills, qualifications, and geographic location. The company reserves the right to modify this range as needed and in accordance with applicable laws. Other Types of Pay: Performance-based bonus and/or equity is available to employees in eligible roles. Benefits and Paid Time Off: Medical, dental, and vision insurance as well as a 401(k) retirement plan with a company match that vests fully on day one. We offer eight (8) weeks of paid parental leave after just three (3) months of employment, and a paid time off policy that includes vacation time, personal time, sick time, floating holidays, and eleven (11) company holidays. Additional voluntary benefits include flexible spending and health savings accounts, life and AD demonstrating our ongoing commitment to building a culture where our people feel empowered, supported, and inspired to do their best work. Pay Range (Base Pay): $146,410—$192,164 USD Please note: These benefits are offered exclusively to permanent full-time employees. Contractors are not eligible for benefits through Legend Biotech. EEO Statement It is the policy of Legend Biotech to provide equal employment opportunities without regard to actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, related medical conditions and lactation), gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, disability, genetic information, or any other protected characteristic under applicable federal, state or local laws or ordinances. Employment is at-will and may be terminated at any time with or without cause or notice by the employee or the company. For information related to our privacy notice, please review: Legend Biotech Privacy Notice.", "summaryDescription" : "Principal Scientist, Upstream Process, Process Development at Legend Biotech. Skills: Upstream Process Development, Viral Vector Production, Bioreactor Scale-up, Process Optimization. Implement state-of-the-art knowledge management. Communicate potential issues and delays", "postedDate" : "2026-06-16T01:21:58.038", "createdAt" : "2026-06-16T01:21:58.038", "lastUpdated" : "2026-06-16T10:46:06.092", "ingestTimestamp" : "2026-06-16T01:21:58.038", "mongoId" : "6a30872bf292fd229c08682b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 146410, "salaryAnnualMax" : 192164, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Cell culture", "Transfection optimization", "Bioreactor operation", "Process optimization", "Regulatory compliance", "Leadership", "Emotional intelligence", "Strategic thinking", "Troubleshooting", "Upstream Process Development", "Viral Vector Production", "Bioreactor Scale-up", "Process Optimization", "Process development", "Manufacturing", "Scale-up models", "Scale-down models", "CMC strategies", "Tech transfer", "Project acceleration", "Biotechnology", "Cell therapies", "Viral vector production", "Mammalian cell culture", "Lentivirus", "GMP manufacturing", "Early-phase clinical trials", "Engineering modeling", "Mass transfer", "Bioprocess optimization", "Bioreactors" ], "skillCount" : 31, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307f69f292fd229c058f0d", "title" : "Sr/Principal Scientist - Upstream Process Development", "company" : "Genezen", "industry" : "Biotech", "salary" : { "min" : 165000.0, "max" : 235000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Sr/Principal Scientist in Fishers, United States, adjusted for lead seniority and the biotech industry." }, "location" : "Fishers, Indiana, United States", "locations" : [ "Fishers", "Indiana", "United States" ], "timestamp" : "2026-06-16T12:09:40.636", "fingerprint" : "b6201a1b7310eb1a56207dfdf8317975cc2206fae877bc298f23cb4b6029238a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/genezenlabs/jobs/6030515004", "externalId" : "6030515004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Fishers", "state" : "Indiana", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.9555928,-86.0138729" } ], "locationText" : "Fishers, Indiana, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Bioprocess Engineering, Life Science Biotechnology, Biochemistry, Protein Chemistry, Chemical Engineering, Cell Culture, Bioreactor Technologies, Transfection, Infection approaches, Gene therapy, Viral vaccines, Therapeutic proteins", "professionalSkills" : [ "Process Development", "Cell Line Development", "Upstream Processing", "Technology Transfer", "GMP Manufacturing", "Scale-up", "Process Improvements", "Process Characterization", "Bills of Materials", "Sampling Plans", "Process Troubleshooting", "Data Analysis", "Root Cause Analysis", "Change Controls", "CAPAs", "CCRs", "Quality Systems", "Experimental Design", "Data Review", "Scale-down Models", "Lab Notebooks", "Protocols", "Development Reports", "Process Descriptions", "Scientific Reports", "Client Presentations", "Program Strategy" ], "hardSkillsList" : [ "Process Development", "Cell Line Development", "Upstream Processing", "Cell Culture", "Bioreactor Technologies", "Transfection", "Infection approaches", "Technology Transfer", "GMP Manufacturing", "Scale-up", "Process Improvements", "Process Characterization", "Data Analysis", "Root Cause Analysis", "Quality Systems", "Experimental Design", "Scale-down Models" ], "softSkillsList" : [ "Adaptability" ], "hardSkills" : [ { "name" : "Process Development", "level" : "intermediate" }, { "name" : "Cell Line Development", "level" : "intermediate" }, { "name" : "Upstream Processing", "level" : "intermediate" }, { "name" : "Cell Culture", "level" : "intermediate" }, { "name" : "Bioreactor Technologies", "level" : "intermediate" }, { "name" : "Transfection", "level" : "intermediate" }, { "name" : "Infection approaches", "level" : "intermediate" }, { "name" : "Technology Transfer", "level" : "intermediate" }, { "name" : "GMP Manufacturing", "level" : "intermediate" }, { "name" : "Scale-up", "level" : "intermediate" }, { "name" : "Process Improvements", "level" : "intermediate" }, { "name" : "Process Characterization", "level" : "intermediate" }, { "name" : "Data Analysis", "level" : "intermediate" }, { "name" : "Root Cause Analysis", "level" : "intermediate" }, { "name" : "Quality Systems", "level" : "intermediate" }, { "name" : "Experimental Design", "level" : "intermediate" }, { "name" : "Scale-down Models", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Adaptability" } ], "majorSkills" : "Upstream Process Development, Technology Transfer, GMP Manufacturing Support", "majorSkillsList" : [ "Upstream Process Development", "Technology Transfer", "GMP Manufacturing Support" ], "coreResponsibilities" : "Provide technical oversight, Provide strategic input, Lead platform improvement projects, Manage platform improvement projects, Coordinate platform improvement projects, Support late-stage development, Identify development tasks, Plan development activities, Monitor deliverable progress, Generate protocols, Generate reports, Qualify scale-down models, Characterize processes, Validate scale-down models, Support technology transfer activities, Perform experiments, Implement process improvements, Characterize processes at scale, Provide MSAT technical support, Provide manufacturing technical support, Troubleshoot processes, Analyze manufacturing data, Perform root cause analysis, Manage deviations during GMP production, Manage change controls, Manage CAPAs, Manage CCRs, Design experimental plans, Analyze experimental results, Review experimental results, Optimize scale-down models, Maintain scale-down models, Write lab notebook entries, Approve lab notebook entries, Write experimental protocols, Approve experimental protocols, Write development reports, Approve development reports, Write process descriptions, Approve process descriptions, Write scientific reports, Approve scientific reports, Present project progress, Present project results, Maintain communication with functions, Supervise USP lab activities, Guide junior team members, Set goals for team members, Assign tasks to team members", "teamCollaboration" : "Cross-functional teams; External partners; Analytical Development; Manufacturing; Engineering; MSAT; Relevant functions", "projectManagementSkills" : [ "Program Strategy" ], "domainKnowledge" : "Gene therapy; Viral vectors; Cell therapy; GMP manufacturing; EMA/FDA regulations; ICH guidelines", "domainList" : [ "gene-therapy", "viral-vectors", "cell-therapy", "gmp-manufacturing", "ema-fda-regulations", "ich-guidelines" ], "domainSpecificKnowledge" : [ "Gene therapy", "Viral vectors", "Cell therapy", "GMP manufacturing", "EMA/FDA regulations", "ICH guidelines" ], "toolProficiency" : [ "Electronic Lab Notebooks" ], "communicationSkills" : "External presentations; Technical discussion; Internal presentations; Client presentations", "documentationSkills" : "Protocol generation; Report generation; Lab notebook entries; Process descriptions; Scientific reports; Quality Systems documentation", "innovationCreativity" : "Innovative problem solvers", "problemSolvingSkills" : "Problem solvers; Process troubleshooting; Root cause analysis", "specialRequirements" : "Work schedule may change, Criminal background check required, Sit for long periods, Lift up to 10 pounds, Lift up to 25 pounds", "qualificationsBasic" : "MSc with 8+ years of relevant work experience, PhD with 6+ years of relevant work experience, Process Development and Cell Line Development Experience, Upstream Processing Experience with Cell Culture, Bioreactor Technologies, and Transfection/Infection approaches, Hands-on experience on complex biologics, Experience with technology transfer and GMP manufacturing technical support, Experience with EMA/FDA regulations, ICH", "qualificationsPreferred" : "Prior work experience at a CDMO", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The field of gene therapy is growing rapidly and Genezen is here to meet the exacting needs of our clients. We provide process development, produce GMP viral vectors, and provide cell transduction for gene and cell therapy clinical trials and are proud to be a part of the process that leads to new cures. WORKING AT GENEZEN Many people have worked in environments where you feel like just another nameless part of an enormous machine. Genezen is different. We want our employees to be innovative, collaborative problem solvers who are dedicated to meeting the challenges of working at a fast-growing company. We are dedicated to empowering our employees to be their best and making Genezen a rewarding place to work. Every employee contributes to the success of the company and you can be part of that team. JOB SUMMARY The Sr./Principal Scientist, Upstream Process Development will be part of the Process Development Group reporting to the Director of Process Development. The role will have direct management responsibility for a team of Scientists and Research Associates. The Sr/Principal Scientist is responsible for the Upstream Process development, characterization, technology transfer and GMP manufacturing technical support. This individual will lead or contribute as a core member of various cross-functional teams, and interact extensively with other departments within Genezen, including Analytical Development, Manufacturing, Engineering, and MSAT. This is a client-facing position with regular interaction with our partners including external presentations, driving the technical discussion and program strategy. JOB RESPONSIBILITIES Provides technical oversight and strategic input for upstream viral vector drug substance development activities Leads, proposes, manages, and coordinates activities on platform improvement/continuous projects in USP labs Leads, manages, and supports late-stage development, by identifying tasks, planning, monitoring progress of deliverables, and in terms of protocol and report generation in areas such as scale-down model qualification, process characterization, and scale-down model process validation studies Leads and supports technology transfer activities at pilot plant and when necessary, preforms experiments him/herself, focusing scale-up platform process at scale and process improvements implementation, process characterization at scale and bills of materials as well as sampling plans. Provides MSAT and manufacturing technical Upstream SME support for process troubleshooting, manufacturing data analysis, root cause analysis, and deviations during GMP production, change controls, CAPAs, CCRs and other Quality Systems documentation as needed. Designs and outlines experimental plans to meet the defined Genezen and client objective. Analyses and reviews experimental results and data. Performs, optimizes, and maintains linear scale-down models. Writes, reviews, and approves electronic lab notebooks (ELNs) entries, experimental protocols, development reports, process descriptions, and scientific reports Presents project progress and results internally to cross-functional teams and externally to clients/stakeholders Maintains robust communication with all relevant functions that have an impact on or are impacted by Upstream Process Development Coordinates and supervises the activities in the USP labs (with a team of engineers/ (Jr.) bioprocess technologist, co-op students, interns, temporary personnel (contractors), and technical SMEs and when necessary, performs experiments him/herself. Guides junior USP team members by setting goals/tasks on projects SPECIAL JOB REQUIREMENTS Adaptability required as work schedule may change based on business needs Criminal background check required Other duties as assigned KNOWLEDGE, SKILLS AND EXPERIENCE EDUCATION / CERTIFICATIONS / LICENSES Essential/Desired MSc with 8+ years of relevant work experience in Bioprocess Engineering/ Life Science Biotechnology/Biochemistry/ Protein Chemistry, Chemical Engineering or related disciplines Essential PhD with 6+ years of relevant work experience in Bioprocess Engineering/ Life Science Biotechnology/Biochemistry/ Protein Chemistry, Chemical Engineering or related disciplines Desired ON-THE-JOB EXPERIENCE Process Development and Cell Line Development Experience Essential Upstream Processing Experience with Cell Culture, Bioreactor Technologies, and Transfection/Infection approaches Essential Prior work experience at a CDMO Desired SKILLS / ABILITIES Hands-on experience on complex biologics, e. g. gene therapy, viral vaccines, therapeutic proteins Essential Experience with technology transfer and GMP manufacturing technical support Essential Experience with EMA/FDA regulations, ICH guidelines, GMP and quality systems Essential Effective communicator with track record of presenting data to relevant stakeholders including external stakeholders Essential Experience with DoE design and statistical analysis on large data sets Essential Excellent scientific writing skills demonstrated by publications and reports Essential Experience with direct management of Scientists and Research Associates including day-to-day oversight and direction and career development and coaching. Essential PHYSICAL DEMANDS While performing the duties of this job, the employee is required to meet the following physical demands: Work Environment Regularly sit for long periods of time Movement Frequently required to stand; sit; use hands to finger, handle, or feel; reach with hands and arms Occasionally required to walk; climb or balance; and stoop, kneel, crouch, or crawl Lifting Frequently lift and/or move up to 10 pounds Rarely lift and/or move up to 25 pounds Vision Frequently utilize close vision and the ability to adjust focus Communication Frequently required to communicate by talking, hearing, using telephone and e-mail GENEZEN'S CURES VALUE-BASED COMPETENCIES Committed to Science We are committed to scientific excellence, staying current with industry developments, making data-driven decisions, and pursuing innovation to advance healthcare. Urgency in action for the patients We operate with urgency and a commitment to delivering timely treatments to patients by accelerating our partners' programs. Resilience however, we are not able to sponsor visas. Genezen has operates two locations: one in Fishers, Indiana and the second in Lexington, Massachusetts. Fishers is a suburb of Indianapolis. Fishers was named the #1 place to live in the US by Money Magazine in 2017 for its livability, safety and entrepreneurship. Fishers is one of the fastest growing communities in Indiana and is dedicated to supporting a high quality of life for all its residents. Nearby Indianapolis is home to professional and college sports teams, the Indy 500, a growing art community and the world’s largest children’s museum--to name just a few reasons why this area is a great place to live. Lexington, Massachusetts, located just northwest of Boston, is renowned as a historic suburb with a rich cultural heritage. It boasts picturesque New England charm, tree-lined streets, and a vibrant community. Known for its pivotal role in the American Revolution, Lexington offers visitors and residents alike a blend of historical landmarks, modern amenities, and a strong sense of community pride.", "summaryDescription" : "Sr/Principal Scientist - Upstream Process Development at Genezen. Skills: Upstream Process Development, Technology Transfer, GMP Manufacturing Support. Provide technical oversight. Provide strategic input", "postedDate" : "2026-06-16T01:20:25.644", "createdAt" : "2026-06-16T01:20:25.644", "lastUpdated" : "2026-06-16T12:09:40.636", "ingestTimestamp" : "2026-06-16T01:20:25.644", "mongoId" : "6a307f69f292fd229c058f0d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 165000, "salaryAnnualMax" : 235000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Process Development", "Cell Line Development", "Upstream Processing", "Cell Culture", "Bioreactor Technologies", "Transfection", "Infection approaches", "Technology Transfer", "GMP Manufacturing", "Scale-up", "Process Improvements", "Process Characterization", "Data Analysis", "Root Cause Analysis", "Quality Systems", "Experimental Design", "Scale-down Models", "Adaptability", "Upstream Process Development", "GMP Manufacturing Support", "Bills of Materials", "Sampling Plans", "Process Troubleshooting", "Change Controls", "CAPAs", "CCRs", "Data Review", "Lab Notebooks", "Protocols", "Development Reports", "Process Descriptions", "Scientific Reports", "Client Presentations", "Program Strategy", "Gene therapy", "Viral vectors", "Cell therapy", "GMP manufacturing", "EMA/FDA regulations", "ICH guidelines", "Electronic Lab Notebooks" ], "skillCount" : 41, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305382f292fd229cf132e2", "title" : "Target Fabrication and Materials Characterization Technologist", "company" : "Lawrence Livermore National Laboratory", "industry" : "Research", "salary" : { "min" : 85000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Technologist in Livermore, CA, adjusted for the technology industry and a large research laboratory." }, "location" : "Livermore, CA, United States", "locations" : [ "Livermore", "CA", "United States" ], "timestamp" : "2026-06-16T08:25:55.648", "fingerprint" : "94cfd22866443072a4e0843745762b72eaba13af372e6628eab682a63e20a0f5", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/LLNL/3743990013618337-target-fabrication-and-materials-characterization-technologist-", "externalId" : "3743990013618337", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Livermore", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.6820583,-121.7680530" } ], "locationText" : "Livermore, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join us and make YOUR mark on the World! Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability. Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact. We are seeking a Laboratory Technologist to support target fabrication, precision component assembly, metallography, sample preparation, and microscopy within the Materials Science Division’s (MSD) Materials Characterization Center (MCC). You will perform a range of moderate to complex work in support of multiple LLNL programs and principal investigators, including activities in the National Ignition Facility (NIF) HiZ Target Fabrication Laboratory. The work includes fabrication, metrology, characterization, and assembly of macro- to micro-scale precision engineered components and one-of-a-kind samples. Responsibilities include operation of computer-controlled and manually operated assembly stations, dimensional inspection using microscopes and optical coordinate measuring machines, preparation and installation of thin films into components or subassemblies, and execution of multi-step target subassembly and base assembly procedures. The role will also involve work with hazardous materials, including radioactive materials and beryllium, performed within containment enclosures such as inert-atmosphere gloveboxes and fume hoods. The position supports timely delivery of high-quality results, clear documentation, and strong customer engagement within a collaborative R&D environment. This position requires full-time on-site presence due to the nature of the work. This position will be filled at either the 504.2 or 504.3 level depending on your qualifications. Additional job responsibilities (outlined below) will be assigned if you are selected at the higher level. You will * Perform moderately complex to complex target fabrication, precision assembly, metallography, and materials characterization activities, including sample preparation, polishing, and optical microscopy. * Utilize microscopes and optical coordinate measuring machines to perform dimensional inspection and metrology of precision components * Operate computer-controlled and manually operated assembly stations and other laboratory instrumentation. * Prepare, assemble, and analyze one-of-a-kind samples and components, including hazardous materials such as beryllium and radioactive materials, while following detailed instructions, drawings, and specifications. * Interact effectively with resident staff and other engineering, scientific, technical, and administrative personnel from a variety of organizations. * Maintain a high level of administrative and on-the-job training required for work in hazardous environments, cleanroom settings, and with hazardous materials. * Perform other duties as assigned. Additional job responsibilities at the 504.3 Level * Provide advanced troubleshooting skills and independently identify complex technical problems and implement solutions. * Create safety documents, Standard Operating Procedures (SOPs), and other documentation, including test reports. * Acquire, analyze and may interpret moderately complex data. ## Qualifications * Ability to secure and maintain a U.S. DOE Q-level security clearance, which requires U.S. citizenship * Associate degree in Chemistry, Materials, Electronics, Engineering or related field; or equivalent combination of education and related experience. * Experience in materials science, sample preparation, target fabrication, precision engineering fabrication, metrology, or related laboratory functions. * Broad understanding of materials science and/or materials engineering concepts, including sample preparation, polishing techniques, and optical microscopy. * Experience with precision engineering materials fabrication, metrology, and assembly of precision components. * Experience operating computers, instrumentation, assembly stations, microscopes, and metrology equipment to collect, analyze, and document scientific results. * Proficiency with Microsoft Office software, including Word, Excel, and PowerPoint. * Strong verbal and written communication skills, including the ability to write and record precise information and interact effectively in a collaborative R&D environment. * Demonstrated ability to work independently and as part of a team. * Ability to read and understand detailed instructions, drawings, specifications, and analytical ability to diagnose and correct operational problems in equipment and tests. Additional qualifications at the 504.3 level * Advanced specialized technical expertise in one or more areas of chemistry, materials science, engineering, or microfabrication. * Ability to troubleshoot complex microfabrication problems. * Significant experience with advanced analytical, problem-solving, and decision-making skills to develop creative solutions to complex problems. * Advanced administrative and organizational skills include the use of computers and software such as MS-Word, Excel, PowerPoint, and similar applications. Qualifications we desire * Experience working with hazardous materials, and ability and willingness to work with complex conditions involving gloveboxes, cryogens, or radioactive materials. * Experience with additional materials preparation and characterization tools such hardness testing, electropolishing, ion milling, vacuum coating, white-light interferometry, and density measurements. * Experience with instrument maintenance and design and fabrication of simple fixtures * Experience with scanning electron microscopy techniques, including hands-on SEM operation Pay Range $43.55 - $63.97 Hourly $43.55 - $53.36 Hourly for the 504.2 level $52.23 - $63.97 Hourly for the 504.3 level This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs. ## Additional Information All your information will be kept confidential according to EEO guidelines. Position Information This is a Flexible Term appointment, which is for a definite period not to exceed six years. If final candidate is a Career Indefinite employee, Career Indefinite status may be maintained (should funding allow). Why Lawrence Livermore National Laboratory? * Included in 2026 Best Places to Work by Glassdoor! * Flexible [Benefits Package](https://www.llnl.gov/join-our-team/culture/benefits) * 401(k) * Relocation Assistance * Education Reimbursement Program Flexible schedules (depending on project needs) * Our values - visit [https://www.llnl.gov/inclusion/our-values](https://www.llnl.gov/diversity/our-values) Security Clearance This position requires a Department of Energy (DOE) Q-level clearance. If you are selected, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing. Q-level clearance requires U.S. citizenship. Pre-Employment Drug Test External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor. Wireless and Medical Devices Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices. If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings. How to identify fake job advertisements Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under “Find Your Job” of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond. To learn more about recruitment scams: Equal Employment Opportunity We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws. Reasonable Accommodation Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our [online form](https://www.llnl.gov/join-our-team/careers/accessibility) to submit a request. California Privacy Notice The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed [here](https://www.llnl.gov/join-our-team/careers/privacy-statement).", "summaryDescription" : "Target Fabrication and Materials Characterization Technologist at Lawrence Livermore National Laboratory", "postedDate" : "2026-06-15T13:56:35.000", "createdAt" : "2026-06-15T21:56:07.891", "lastUpdated" : "2026-06-16T08:25:55.648", "ingestTimestamp" : "2026-06-15T21:56:07.891", "mongoId" : "6a305382f292fd229cf132e2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305342f292fd229cf11fcd", "title" : "Target Fabrication and Materials Characterization Technologist", "company" : "Lawrence Livermore National Laboratory", "industry" : "Research", "salary" : { "min" : 85000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline compensation for a Mid-level Technologist in Livermore, CA, adjusted for the technology industry and a large research laboratory setting." }, "location" : "Livermore, CA, United States", "locations" : [ "Livermore", "CA", "United States" ], "timestamp" : "2026-06-16T05:36:01.876", "fingerprint" : "319fd08e3b3d270460d65aadfbd82652afa848d173e2c06b22fa5a7e50a71c20", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/LLNL/3743990013618337-target-fabrication-and-materials-characterization-technologist-", "externalId" : "3743990013618337", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Livermore", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.6820583,-121.7680530" } ], "locationText" : "Livermore, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join us and make YOUR mark on the World! Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability. Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact. We are seeking a Laboratory Technologist to support target fabrication, precision component assembly, metallography, sample preparation, and microscopy within the Materials Science Division’s (MSD) Materials Characterization Center (MCC). You will perform a range of moderate to complex work in support of multiple LLNL programs and principal investigators, including activities in the National Ignition Facility (NIF) HiZ Target Fabrication Laboratory. The work includes fabrication, metrology, characterization, and assembly of macro- to micro-scale precision engineered components and one-of-a-kind samples. Responsibilities include operation of computer-controlled and manually operated assembly stations, dimensional inspection using microscopes and optical coordinate measuring machines, preparation and installation of thin films into components or subassemblies, and execution of multi-step target subassembly and base assembly procedures. The role will also involve work with hazardous materials, including radioactive materials and beryllium, performed within containment enclosures such as inert-atmosphere gloveboxes and fume hoods. The position supports timely delivery of high-quality results, clear documentation, and strong customer engagement within a collaborative R&D environment. This position requires full-time on-site presence due to the nature of the work. This position will be filled at either the 504.2 or 504.3 level depending on your qualifications. Additional job responsibilities (outlined below) will be assigned if you are selected at the higher level. You will * Perform moderately complex to complex target fabrication, precision assembly, metallography, and materials characterization activities, including sample preparation, polishing, and optical microscopy. * Utilize microscopes and optical coordinate measuring machines to perform dimensional inspection and metrology of precision components * Operate computer-controlled and manually operated assembly stations and other laboratory instrumentation. * Prepare, assemble, and analyze one-of-a-kind samples and components, including hazardous materials such as beryllium and radioactive materials, while following detailed instructions, drawings, and specifications. * Interact effectively with resident staff and other engineering, scientific, technical, and administrative personnel from a variety of organizations. * Maintain a high level of administrative and on-the-job training required for work in hazardous environments, cleanroom settings, and with hazardous materials. * Perform other duties as assigned. Additional job responsibilities at the 504.3 Level * Provide advanced troubleshooting skills and independently identify complex technical problems and implement solutions. * Create safety documents, Standard Operating Procedures (SOPs), and other documentation, including test reports. * Acquire, analyze and may interpret moderately complex data. ## Qualifications * Ability to secure and maintain a U.S. DOE Q-level security clearance, which requires U.S. citizenship * Associate degree in Chemistry, Materials, Electronics, Engineering or related field; or equivalent combination of education and related experience. * Experience in materials science, sample preparation, target fabrication, precision engineering fabrication, metrology, or related laboratory functions. * Broad understanding of materials science and/or materials engineering concepts, including sample preparation, polishing techniques, and optical microscopy. * Experience with precision engineering materials fabrication, metrology, and assembly of precision components. * Experience operating computers, instrumentation, assembly stations, microscopes, and metrology equipment to collect, analyze, and document scientific results. * Proficiency with Microsoft Office software, including Word, Excel, and PowerPoint. * Strong verbal and written communication skills, including the ability to write and record precise information and interact effectively in a collaborative R&D environment. * Demonstrated ability to work independently and as part of a team. * Ability to read and understand detailed instructions, drawings, specifications, and analytical ability to diagnose and correct operational problems in equipment and tests. Additional qualifications at the 504.3 level * Advanced specialized technical expertise in one or more areas of chemistry, materials science, engineering, or microfabrication. * Ability to troubleshoot complex microfabrication problems. * Significant experience with advanced analytical, problem-solving, and decision-making skills to develop creative solutions to complex problems. * Advanced administrative and organizational skills include the use of computers and software such as MS-Word, Excel, PowerPoint, and similar applications. Qualifications we desire * Experience working with hazardous materials, and ability and willingness to work with complex conditions involving gloveboxes, cryogens, or radioactive materials. * Experience with additional materials preparation and characterization tools such hardness testing, electropolishing, ion milling, vacuum coating, white-light interferometry, and density measurements. * Experience with instrument maintenance and design and fabrication of simple fixtures * Experience with scanning electron microscopy techniques, including hands-on SEM operation Pay Range $43.55 - $63.97 Hourly $43.55 - $53.36 Hourly for the 504.2 level $52.23 - $63.97 Hourly for the 504.3 level This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs. ## Additional Information All your information will be kept confidential according to EEO guidelines. Position Information This is a Flexible Term appointment, which is for a definite period not to exceed six years. If final candidate is a Career Indefinite employee, Career Indefinite status may be maintained (should funding allow). Why Lawrence Livermore National Laboratory? * Included in 2026 Best Places to Work by Glassdoor! * Flexible [Benefits Package](https://www.llnl.gov/join-our-team/culture/benefits) * 401(k) * Relocation Assistance * Education Reimbursement Program Flexible schedules (depending on project needs) * Our values - visit [https://www.llnl.gov/inclusion/our-values](https://www.llnl.gov/diversity/our-values) Security Clearance This position requires a Department of Energy (DOE) Q-level clearance. If you are selected, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing. Q-level clearance requires U.S. citizenship. Pre-Employment Drug Test External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor. Wireless and Medical Devices Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices. If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings. How to identify fake job advertisements Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under “Find Your Job” of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond. To learn more about recruitment scams: Equal Employment Opportunity We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws. Reasonable Accommodation Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our [online form](https://www.llnl.gov/join-our-team/careers/accessibility) to submit a request. California Privacy Notice The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed [here](https://www.llnl.gov/join-our-team/careers/privacy-statement).", "summaryDescription" : "Target Fabrication and Materials Characterization Technologist at Lawrence Livermore National Laboratory", "postedDate" : "2026-06-15T13:56:35.000", "createdAt" : "2026-06-15T21:53:39.721", "lastUpdated" : "2026-06-16T05:36:01.876", "ingestTimestamp" : "2026-06-15T21:53:39.721", "mongoId" : "6a305342f292fd229cf11fcd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb20e74d8ee00a09df743", "title" : "Principal Data Scientist", "industry" : "IT", "salary" : { "min" : 114400.0, "max" : 164400.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Canada", "locations" : [ "Canada" ], "timestamp" : "2026-06-15T23:59:49.999", "fingerprint" : "c1abb3bd5079505a712b6a8a9ba6ee79aadf1825b01d4e58f2b581b0b3e90bf3", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/9eb674a7-f4dd-40c7-9770-fbdc02ecaf60/apply", "externalId" : "9eb674a7-f4dd-40c7-9770-fbdc02ecaf60", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 10, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Python, Spark, Hadoop, Large language models, Transformer architectures, Generative AI", "professionalSkills" : [ "Technical strategy", "Model development", "Production solutions", "Technical leadership", "Prompt engineering" ], "hardSkillsList" : [ "Machine learning techniques", "Deep learning", "Gradient boosting", "Ensemble methods", "LLM behavior", "Applied generative AI" ], "softSkillsList" : [ "Leadership", "Mentoring", "Problem-solving" ], "hardSkills" : [ { "name" : "Machine learning techniques", "level" : "intermediate" }, { "name" : "Deep learning", "level" : "intermediate" }, { "name" : "Gradient boosting", "level" : "intermediate" }, { "name" : "Ensemble methods", "level" : "intermediate" }, { "name" : "LLM behavior", "level" : "intermediate" }, { "name" : "Applied generative AI", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" }, { "name" : "Problem-solving" } ], "majorSkills" : "AI, Machine learning, Data science, Generative AI", "majorSkillsList" : [ "AI", "Machine learning", "Data science", "Generative AI" ], "coreResponsibilities" : "Lead development and deployment of AI/ML models, Define technical strategy, Define model development standards, Define best practices, Collaborate with engineering and product teams, Design scalable AI solutions, Build scalable AI solutions, Operationalize scalable AI solutions, Analyze large-scale datasets, Identify patterns, Identify trends, Identify opportunities for model improvement, Provide technical leadership, Provide mentorship to data scientists, Ensure high-quality outputs, Establish methodologies for AI/ML development, Establish frameworks for AI/ML development, Establish governance standards for AI/ML development, Partner with stakeholders, Align data science initiatives with business goals, Align data science initiatives with customer needs, Communicate insights, Communicate technical findings, Communicate recommendations, Lead small to mid-sized teams, Provide direction to teams, Provide structure to teams, Provide execution oversight across projects, Continuously evaluate AI technologies, Continuously evaluate ML technologies", "teamCollaboration" : "Collaborate with engineering teams; Collaborate with product teams; Partner with stakeholders; Cross-functional teams", "projectManagementSkills" : [ "Execution oversight" ], "domainKnowledge" : "Large language models; Transformer architectures; Generative AI techniques", "domainList" : [ "large-language-models", "transformer-architectures", "generative-ai-techniques" ], "domainSpecificKnowledge" : [ "Large language models", "Transformer architectures", "Generative AI techniques" ], "communicationSkills" : "Communicate insights; Communicate technical findings; Communicate recommendations", "continuousLearning" : "Evaluate emerging AI technologies; Evaluate emerging ML technologies", "innovationCreativity" : "Model improvement; Innovation", "problemSolvingSkills" : "Problem-solving mindset; Navigate ambiguity; Drive technical decisions", "qualificationsBasic" : "10+ years of experience in data science, AI, or machine learning, Proven experience leading complex AI/ML projects, Experience working with large-scale datasets, Programming skills in Python", "qualificationsPreferred" : "Advanced degree (Master’s or PhD) in Computer Science, Mathematics, Statistics, or a related field", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "## Accountabilities Lead the development and deployment of advanced AI and machine learning models to solve complex business and product challenges. Define technical strategy, model development standards, and best practices across data science teams. Collaborate with engineering and product teams to design, build, and operationalize scalable AI solutions. Analyze large-scale datasets to identify meaningful patterns, trends, and opportunities for model improvement. Provide technical leadership and mentorship to junior and mid-level data scientists, ensuring high-quality outputs. Establish methodologies, frameworks, and governance standards for AI/ML development and deployment. Partner with stakeholders to align data science initiatives with business goals and customer needs. Communicate insights, technical findings, and recommendations clearly to both technical and non-technical audiences. Lead small to mid-sized teams, providing direction, structure, and execution oversight across projects. Continuously evaluate emerging AI and ML technologies to improve model performance and innovation. Requirements: 10+ years of experience in data science, AI, or machine learning roles with significant senior-level responsibility. Proven experience leading complex AI/ML projects and delivering production-grade solutions. Strong background in mentoring, coaching, and guiding technical teams in a leadership capacity. Deep expertise in machine learning techniques such as deep learning, gradient boosting, and ensemble methods. Strong experience with large language models and transformer architectures (e.g., BERT, T5, GPT-based systems). Solid understanding of prompt engineering, LLM behavior, and applied generative AI techniques. Experience working with large-scale datasets and distributed computing frameworks (e.g., Spark, Hadoop). Strong programming skills in Python and familiarity with modern ML frameworks. Excellent communication skills with the ability to influence senior stakeholders and cross-functional teams. Strong problem-solving mindset with the ability to navigate ambiguity and drive technical decisions. Advanced degree (Master’s or PhD) in Computer Science, Mathematics, Statistics, or a related field is highly preferred. Benefits: Competitive base salary range of $114,400 – $164,400 CAD, plus eligibility for annual bonus incentives. Comprehensive health, dental, and vision coverage through a multi-carrier plan. Retirement savings plans, including employer contributions and stock purchase options. Disability, life, and accident insurance coverage. Flexible and remote work arrangements supporting work-life balance. Family-focused benefits, including adoption and surrogacy support. Dependent care and commuter spending accounts. Inclusive and diverse workplace culture with strong commitment to equity and accessibility. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Principal Data Scientist. Skills: AI, Machine learning, Data science, Generative AI. Lead development and deployment of AI/ML models. Define technical strategy", "postedDate" : "2026-06-12T07:02:23.299", "createdAt" : "2026-06-12T07:02:23.299", "lastUpdated" : "2026-06-15T23:59:49.999", "ingestTimestamp" : "2026-06-14T22:14:25.653", "mongoId" : "6a2cb20e74d8ee00a09df743", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Machine learning techniques", "Deep learning", "Gradient boosting", "Ensemble methods", "LLM behavior", "Applied generative AI", "Leadership", "Mentoring", "Problem-solving", "AI", "Machine learning", "Data science", "Generative AI", "Technical strategy", "Model development", "Production solutions", "Technical leadership", "Prompt engineering", "Execution oversight", "Large language models", "Transformer architectures", "Generative AI techniques" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "68e6b1dc70f0b99d58d66e3a", "title" : "Principal Applied Scientist, AGI Foundations", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, Artificial Intelligence", "salary" : { "min" : 179000.0, "max" : 309400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, Massachusetts, USA", "locations" : [ "Boston, Massachusetts, USA" ], "timestamp" : "2026-06-15T09:19:51.035", "fingerprint" : "2b6cf8770992355deefd6060592c16532820a8715d4cb5d23b3970eb2b103232", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3102574/apply", "externalId" : "a33fb0c2-2341-4604-a786-849c6a5de168", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, Java, C++, Generative AI, Large language models, Multimodal models, Computer vision, Machine learning, PyTorch, TensorFlow, Scikit-learn, Hugging Face", "professionalSkills" : [ "Algorithm design", "Model structure", "Scientific reviews", "Experimental design", "Problem decomposition", "Strategy development" ], "hardSkillsList" : [ "Predictive modeling", "Data analysis", "Algorithm design", "Model structure", "Scientific reviews", "Experimental design", "Problem decomposition", "Strategy development" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Predictive modeling", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Algorithm design", "level" : "intermediate" }, { "name" : "Model structure", "level" : "intermediate" }, { "name" : "Scientific reviews", "level" : "intermediate" }, { "name" : "Experimental design", "level" : "intermediate" }, { "name" : "Problem decomposition", "level" : "intermediate" }, { "name" : "Strategy development", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Generative AI, Machine Learning, Large language models, Computer Vision", "majorSkillsList" : [ "Generative AI", "Machine Learning", "Large language models", "Computer Vision" ], "coreResponsibilities" : "Define research directions, Invent machine learning techniques, Conduct rigorous experiments, Publish research results, Translate research into practice, Develop long-term strategies, Persuade teams to adopt strategies, Propose goals, Deliver on goals, Participate in organizational planning, Participate in hiring, Participate in mentorship, Participate in leadership development, Build scalable science solutions, Build scalable engineering solutions, Serve as scientific resource, Lead scientific reviews, Review experimental design, Review modeling, Review verification, Review research procedures, Probe assumptions, Illuminate pitfalls, Foster shared understanding, Align teams toward strategies, Educate scientific community, Keep community updated, Guide career growth, Develop junior scientists, Develop junior leads, Drive development of GenAI, Handle Amazon-scale use cases, Impact customer experiences, Develop multimodal LLMs, Develop Gen AI, Provide customer experience", "teamCollaboration" : "Cross-organization views; Organizational planning; Leadership development", "domainKnowledge" : "Artificial General Intelligence; Generative AI; Large language models; Multimodal models; Computer vision; Amazon-scale use cases", "domainList" : [ "artificial-general-intelligence", "generative-ai", "large-language-models", "multimodal-models", "computer-vision", "amazon-scale-use-cases" ], "domainSpecificKnowledge" : [ "Artificial General Intelligence", "Generative AI", "Large language models", "Multimodal models", "Computer vision", "Amazon-scale use cases" ], "toolProficiency" : [ "PyTorch", "TensorFlow", "Scikit-learn", "Hugging Face" ], "innovationCreativity" : "Invent machine learning techniques; Develop long-term strategies", "problemSolvingSkills" : "Decompose complex problems; Tackle intrinsically hard problems", "outcomesObjectives" : "Impact customer experiences", "qualificationsBasic" : "5+ years predictive modeling, PhD in Electrical Engineering, PhD in Computer Science, PhD in Mathematics, Experience programming in Java, Experience programming in C++, Experience programming in Python, Leading experienced scientists, Developing junior members", "qualificationsPreferred" : "10+ years of experience, Experience with AWS, Experience with GCP, Experience with Azure, Experience with PyTorch, Experience with TensorFlow, Experience with scikit-learn, Experience with Hugging Face, Experience with large language models, Experience with multimodal models, Experience with computer vision, Experience with Generative AI, Experience with Amazon-scale use cases, Experience with scientific reviews, Experience with experimental design, Experience with modeling, Experience with verification, Experience with research procedures, Experience with mentoring, Experience with hiring, Experience with developing scientists, Experience with developing leads, Experience with organizational planning, Experience with leadership development, Experience with full-cycle development, Experience with conception, Experience with design, Experience with implementation, Experience with testing, Experience with documentation, Experience with delivery, Experience with maintenance, Experience with multimodal LLMs, Experience with Gen AI, Experience with Computer Vision", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As a Principal Scientist within the Artificial General Intelligence (AGI) organization, you are a trusted part of the technical leadership. You bring business and industry context to science and technology decisions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. You solicit differing views across the organization and are willing to change your mind as you learn more. Your artifacts are exemplary and often used as reference across organization. You are a hands-on scientific leader. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions. You amplify your impact by leading scientific reviews within your organization or at your location. You scrutinize and review experimental design, modeling, verification and other research procedures. You probe assumptions, illuminate pitfalls, and foster shared understanding. You align teams toward coherent strategies. You educate, keeping the scientific community up to date on advanced techniques, state of the art approaches, the latest technologies, and trends. You help managers guide the career growth of other scientists by mentoring and play a significant role in hiring and developing scientists and leads. You will play a critical role in driving the development of Generative AI (GenAI) technologies that can handle Amazon-scale use cases and have a significant impact on our customers' experiences. Key job responsibilities You will be responsible for defining key research directions, adopting or inventing new machine learning techniques, conducting rigorous experiments, publishing results, and ensuring that research is translated into practice. You will develop long-term strategies, persuade teams to adopt those strategies, propose goals and deliver on them. You will also participate in organizational planning, hiring, mentorship and leadership development. You will be technically fearless and with a passion for building scalable science and engineering solutions. You will serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance). About the team The AGI team has a mission to push the envelope with multimodal LLMs and Gen AI in Computer Vision, in order to provide the best-possible experience for our customers. Basic Qualifications: - 5+ years of hands-on work in predictive modeling and analysis experience - PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field - Experience working in predictive modeling and analysis - Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives - Experience programming in Java, C++, Python or related language - Experience with leading experienced scientists as well as having a record of developing junior members from academia or industry to a career track in a business environment Preferred Qualifications: - 10+ years of relevant work in industry or academia experience - Knowledge of problem solving, algorithm design and complexity analysis - Experience creating novel algorithms and advancing the state of the art - Have peer-reviewed scientific contributions in premier journals and conferences Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Principal Applied Scientist, AGI Foundations at Amazon.com Services LLC. Skills: Generative AI, Machine Learning, Large language models, Computer Vision. Define research directions. Invent machine learning techniques", "postedDate" : "2026-06-14T03:15:36.099", "createdAt" : "2026-06-14T03:15:36.099", "lastUpdated" : "2026-06-15T09:19:51.035", "ingestTimestamp" : "2026-06-14T03:15:36.099", "mongoId" : "68e6b1dc70f0b99d58d66e3a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3102574/apply", "salaryAnnualMin" : 179000, "salaryAnnualMax" : 309400, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Predictive modeling", "Data analysis", "Algorithm design", "Model structure", "Scientific reviews", "Experimental design", "Problem decomposition", "Strategy development", "Leadership", "Mentoring", "Generative AI", "Machine Learning", "Large language models", "Computer Vision", "Artificial General Intelligence", "Multimodal models", "Computer vision", "Amazon-scale use cases", "PyTorch", "TensorFlow", "Scikit-learn", "Hugging Face" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a8fc874d8ee00a068a0a5", "title" : "Manager, Materials Characterization", "company" : "Form Energy", "industry" : "Engineering", "salary" : { "min" : 0.0, "max" : 191530.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Somerville, MA", "locations" : [ "Somerville, MA" ], "timestamp" : "2026-06-14T21:51:28.441", "fingerprint" : "762ad5cea9533d9471a3e477cf0ab6403f8c64994a58a96fc509fc6ba6d6e7de", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/FORMENERGY/2b0d5fc2-ee5c-4129-9c80-75c04438b2dc/application", "externalId" : "2b0d5fc2-ee5c-4129-9c80-75c04438b2dc", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Somerville", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3875968,-71.0994968" } ], "locationText" : "Somerville, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "SEM, FTIR, ICP, XRD", "professionalSkills" : [ "Analytical testing", "Method development", "Failure analysis", "Laboratory management", "Budget management", "ROI analysis" ], "hardSkillsList" : [ "Materials characterization", "Chemical analysis", "Materials science", "Failure analysis", "Metrology concepts", "Gauge R&R studies" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Materials characterization", "level" : "intermediate" }, { "name" : "Chemical analysis", "level" : "intermediate" }, { "name" : "Materials science", "level" : "intermediate" }, { "name" : "Failure analysis", "level" : "intermediate" }, { "name" : "Metrology concepts", "level" : "intermediate" }, { "name" : "Gauge R&R studies", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Materials characterization, Laboratory leadership, Method development", "majorSkillsList" : [ "Materials characterization", "Laboratory leadership", "Method development" ], "coreResponsibilities" : "Provide strategic direction, Provide empathetic people leadership, Establish clear performance expectations, Shield team from reactive triage, Cultivate rigorous culture, Cultivate high-throughput culture, Oversee day-to-day lab workflows, Manage sample lifecycle, Schedule instruments, Achieve predictable turnaround times, Optimize throughput, Maintain exceptional data quality, Champion creation of novel characterization methods, Evaluate methodologies for precision-to-tolerance, Scale methodologies, Transfer methodologies to manufacturing, Evaluate product development timelines, Re-prioritize characterization requests, Engage proactively with design teams, Engage proactively with process teams, Fill analytical gaps, Extract actionable insights, Manage internal laboratory budget, Balance routine operational expenditures, Forecast resource needs, Maintain vendor relationships, Execute ROI analyses", "teamCollaboration" : "Partner with Core Technology; Partner with Quality; Partner with Design; Partner with Manufacturing", "domainKnowledge" : "Iron-air battery technology; Energy storage; Grid reliability; Liquid chemicals; Solid materials; High-volume manufacturing", "domainList" : [ "iron-air-battery-technology", "energy-storage", "grid-reliability", "liquid-chemicals", "solid-materials", "high-volume-manufacturing" ], "domainSpecificKnowledge" : [ "Iron-air battery technology", "Energy storage", "Grid reliability", "Liquid chemicals", "Solid materials", "High-volume manufacturing" ], "toolProficiency" : [ "LIMS" ], "problemSolvingSkills" : "Failure analysis", "specialRequirements" : "Relocation assistance available", "outcomesObjectives" : "Accelerate validation of battery technology; Ensure global grid reliability; Ensure grid stability", "qualificationsBasic" : "8+ years advanced material characterization instrumentation, 3+ years leading analytical chemistry teams, 3+ years leading materials science teams, 3+ years leading failure analysis teams, Proven LIMS deployment or management, Demonstrated industrial metrology knowledge, Demonstrated gauge R&R studies knowledge, Demonstrated tool precision verification knowledge", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you ready to build America’s energy future? Form Energy is an American manufacturing and energy technology company. We’re revolutionizing energy storage with cost-effective, multi-day technology designed to keep the electric grid secure and reliable, even during extended periods of stress. By strengthening the electric system and reimagining what’s possible, we’re giving clean energy a whole new form! In recent years, Form Energy has earned a number of accolades, including being named by TIME as a “Best Invention”, MIT Technology Review as a “Top Climate Tech Company To Watch”, and Fast Company as “One of the Next Big Things In Tech”. We are making rapid progress on our mission of delivering energy storage for a better world, and our team is growing just as rapidly to meet demand. We have signed contracts with leading electric utilities across the United States and production of our iron-air batteries is underway at our first high-volume manufacturing facility in West Virginia. Working for Form Energy is more than just a job, it’s a chance to be part of something extraordinary. And now - right as we significantly scale up battery manufacturing - might be the most exciting moment in the company’s history to join. We are assembling a team of highly talented and driven individuals across the country. Driven by our core values of humanity, excellence, and creativity, our team is determined to deliver on our mission and transform the energy landscape for the better. Feeling energized to make a meaningful impact on the world? Then keep reading - you’ve come to the right place. ROLE DESCRIPTION As the Manager, Materials Characterization, you will play a critical role in leading our internal analytical testing and method development function. Reporting directly into the Reliability Engineering organization, our team drives analytical excellence, failure analysis, and factory method transfers. You will lead a world-class laboratory team in deep partnership with Core Technology, Quality, Design, and Manufacturing teams to accelerate the validation of our breakthrough iron-air battery technology, ensuring global grid reliability and stability. Relocation assistance is available. WHAT YOU'LL DO: - Provide strategic direction and empathetic people leadership to a diverse team from entry-level technicians to senior scientists, establishing clear performance expectations, shielding them from reactive triage, and cultivating a rigorous, high-throughput culture. - Oversee day-to-day lab workflows, sample lifecycle management, and instrument scheduling to achieve predictable turnaround times, optimize throughput, and maintain exceptional data quality. - Champion the creation of novel characterization methods for liquid and solid chemicals and materials, ensuring all methodologies are evaluated for precision-to-tolerance ratios before scaling or transferring to high-volume manufacturing lines. - Continuously evaluate evolving product development timelines to re-prioritize characterization requests, engaging proactively with design and process teams to fill analytical gaps and extract actionable insights for product performance and durability. - Manage the internal laboratory budget, balance routine operational expenditures, forecast resource needs, maintain strong relationships with external vendors, and execute clear ROI analyses on bringing new characterization instruments internal to Form. WHAT YOU'LL BRING: - 8+ years of experience in using and managing advanced material characterization instrumentation (i.e. SEM, FTIR, ICP, XRD) - 3+ years experience in directly leading diversely skilled analytical chemistry, materials science or failure analysis laboratory teams - Proven track record of deploying or managing a Laboratory Information Management System (LIMS) or equivalent sample/workflow tracking system to optimize laboratory KPIs. - Demonstrated knowledge of industrial metrology concepts, gauge R&R studies, and verifying tool precision against engineering specs for high-volume manufacturing transfers. - Excellent communication and organizational skills #LI-Onsite Humanity is a cornerstone of Form Energy’s culture, and we make sure our compensation and benefits reflect that. Form Energy offers competitive salaries, stock options, and a holistic benefits package to ensure all employees have what they need to thrive while working here. When it comes to you and your family’s health, we cover 100% of medical, dental, and vision premiums for full-time employees - and 80% of healthcare premiums for dependents. This starts from day one. We also offer at least 12 weeks of paid leave for new parents (up to 20 weeks for birthing parents), and generous vacation policies to give employees time to recharge when needed. To build America’s energy future, we need everyone at the table. We are proud to be an equal opportunity employer, and encourage candidates from all backgrounds to apply to our open jobs. If you may require reasonable accommodations to participate in our interview process, please contact accommodations@formenergy.com. Requests for accommodations will be treated with discretion. Form Energy is committed to maintaining the privacy of our applicants. Please be aware that we will never solicit sensitive personal information such as Social Security numbers or bank account details during the recruiting or hiring process.", "summaryDescription" : "Manager, Materials Characterization at Form Energy. Skills: Materials characterization, Laboratory leadership, Method development. Provide strategic direction. Provide empathetic people leadership", "postedDate" : "2026-06-11T19:48:08.204", "createdAt" : "2026-06-11T19:48:08.204", "lastUpdated" : "2026-06-14T21:51:28.441", "ingestTimestamp" : "2026-06-11T19:48:08.204", "mongoId" : "6a2a8fc874d8ee00a068a0a5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 191530, "hasSalary" : false, "allSkills" : [ "Materials characterization", "Chemical analysis", "Materials science", "Failure analysis", "Metrology concepts", "Gauge R&R studies", "Leadership", "Mentoring", "Laboratory leadership", "Method development", "Analytical testing", "Laboratory management", "Budget management", "ROI analysis", "Iron-air battery technology", "Energy storage", "Grid reliability", "Liquid chemicals", "Solid materials", "High-volume manufacturing", "LIMS" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "reliability-&-test", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Energy Technology" }, { "id" : "69dde45c2beec4dd3d9a3fa7", "title" : "Postdoctoral Fellow or Staff Scientist - Protein Chemistry, Crystallography and Structure Determination", "company" : "City of Hope", "industry" : "Healthcare", "salary" : { "min" : 34.0, "max" : 123.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States-California-Duarte", "locations" : [ "United States-California-Duarte", "Research" ], "timestamp" : "2026-06-16T03:10:32.877", "fingerprint" : "f9bb2bf4fd1b7bae403c5a58684d192f724bf1b71b175510bc8b0ddf458ce990", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa067.taleo.net/careersection/ex/jobdetail.ftl?job=140141", "externalId" : "140141", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Duarte", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.1394513,-117.9772873" } ], "locationText" : "Duarte, California, United States", "minimumEducation" : "PhD", "remoteFriendly" : false, "rawDescription" : "Thank you for your interest. Please note, the purpose of this posting is to recruit for on-going and future positions. Join the forefront of groundbreaking research at the Beckman Research Institute of City of Hope , where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine through cutting-edge research. The John Williams research lab at City of Hope is seeking a Postdoctoral Fellow or a Staff Scientist to join an innovative team. Our research primarily focuses on structural and biophysical methods to identify sources of energy additivity and multivalency in macromolecular complexes and use these properties to develop new tools and novel therapeutics. As a successful candidate, you will: · Determine structure of modified antibodies with immune receptors · Apply yeast display to stabilize and subsequent deimmunize proteases · Create additional antibody variants to maximize the therapeutic activity in a clinical setting Your qualifications should include: · Ph.D. degree chemistry, biochemistry, structural biology, biophysics or a related discipline is required. · Knowledge of protein engineering (cloning, expression, purification), crystallography (crystallization, optimization, data collection and structure determination), biochemistry (enzyme kinetics) and biophysics (Surface Plasmon Resonance, Iosthermal Ttitration Calorimetry Additional Information: · To apply to the position, please send your CV or resume to Dr. John Williams at jcwilliams@coh.org for consideration. · Candidates will be assessed for the suitable level based on their relevant experience. · Postdoctoral Fellow - Pay Rate: $34.00 – $37.54 · Staff Scientist – Pay Rate: $38.67 – $123.37 City of Hope is an equal opportunity employer. To learn more about our commitment to diversity, equity, and inclusion, please click here . 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Partner with Quality; Partner with Design; Partner with Manufacturing", "domainKnowledge" : "Iron-air battery technology; Grid reliability; Grid stability; Liquid chemicals; Solid chemicals; High-volume manufacturing", "domainList" : [ "iron-air-battery-technology", "grid-reliability", "grid-stability", "liquid-chemicals", "solid-chemicals", "high-volume-manufacturing" ], "domainSpecificKnowledge" : [ "Iron-air battery technology", "Grid reliability", "Grid stability", "Liquid chemicals", "Solid chemicals", "High-volume manufacturing" ], "toolProficiency" : [ "LIMS" ], "problemSolvingSkills" : "Failure analysis", "specialRequirements" : "Relocation assistance", "outcomesObjectives" : "Accelerate validation of battery technology; Ensure global grid reliability; Ensure global grid stability", "qualificationsBasic" : "8+ years advanced material characterization instrumentation, 3+ years leading analytical chemistry teams, 3+ years leading materials science teams, 3+ years leading failure analysis teams, Proven LIMS deployment or management, Demonstrated industrial metrology knowledge, Demonstrated gauge R&R studies knowledge, Demonstrated tool precision verification knowledge", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you ready to build America’s energy future? Form Energy is an American manufacturing and energy technology company. We’re revolutionizing energy storage with cost-effective, multi-day technology designed to keep the electric grid secure and reliable, even during extended periods of stress. By strengthening the electric system and reimagining what’s possible, we’re giving clean energy a whole new form! In recent years, Form Energy has earned a number of accolades, including being named by TIME as a “Best Invention”, MIT Technology Review as a “Top Climate Tech Company To Watch”, and Fast Company as “One of the Next Big Things In Tech”. We are making rapid progress on our mission of delivering energy storage for a better world, and our team is growing just as rapidly to meet demand. We have signed contracts with leading electric utilities across the United States and production of our iron-air batteries is underway at our first high-volume manufacturing facility in West Virginia. Working for Form Energy is more than just a job, it’s a chance to be part of something extraordinary. And now - right as we significantly scale up battery manufacturing - might be the most exciting moment in the company’s history to join. We are assembling a team of highly talented and driven individuals across the country. Driven by our core values of humanity, excellence, and creativity, our team is determined to deliver on our mission and transform the energy landscape for the better. Feeling energized to make a meaningful impact on the world? Then keep reading - you’ve come to the right place. ROLE DESCRIPTION As the Manager, Materials Characterization, you will play a critical role in leading our internal analytical testing and method development function. Reporting directly into the Reliability Engineering organization, our team drives analytical excellence, failure analysis, and factory method transfers. You will lead a world-class laboratory team in deep partnership with Core Technology, Quality, Design, and Manufacturing teams to accelerate the validation of our breakthrough iron-air battery technology, ensuring global grid reliability and stability. Relocation assistance is available. WHAT YOU'LL DO: - Provide strategic direction and empathetic people leadership to a diverse team from entry-level technicians to senior scientists, establishing clear performance expectations, shielding them from reactive triage, and cultivating a rigorous, high-throughput culture. - Oversee day-to-day lab workflows, sample lifecycle management, and instrument scheduling to achieve predictable turnaround times, optimize throughput, and maintain exceptional data quality. - Champion the creation of novel characterization methods for liquid and solid chemicals and materials, ensuring all methodologies are evaluated for precision-to-tolerance ratios before scaling or transferring to high-volume manufacturing lines. - Continuously evaluate evolving product development timelines to re-prioritize characterization requests, engaging proactively with design and process teams to fill analytical gaps and extract actionable insights for product performance and durability. - Manage the internal laboratory budget, balance routine operational expenditures, forecast resource needs, maintain strong relationships with external vendors, and execute clear ROI analyses on bringing new characterization instruments internal to Form. WHAT YOU'LL BRING: - 8+ years of experience in using and managing advanced material characterization instrumentation (i.e. SEM, FTIR, ICP, XRD) - 3+ years experience in directly leading diversely skilled analytical chemistry, materials science or failure analysis laboratory teams - Proven track record of deploying or managing a Laboratory Information Management System (LIMS) or equivalent sample/workflow tracking system to optimize laboratory KPIs. - Demonstrated knowledge of industrial metrology concepts, gauge R&R studies, and verifying tool precision against engineering specs for high-volume manufacturing transfers. - Excellent communication and organizational skills #LI-Onsite Humanity is a cornerstone of Form Energy’s culture, and we make sure our compensation and benefits reflect that. Form Energy offers competitive salaries, stock options, and a holistic benefits package to ensure all employees have what they need to thrive while working here. When it comes to you and your family’s health, we cover 100% of medical, dental, and vision premiums for full-time employees - and 80% of healthcare premiums for dependents. This starts from day one. We also offer at least 12 weeks of paid leave for new parents (up to 20 weeks for birthing parents), and generous vacation policies to give employees time to recharge when needed. To build America’s energy future, we need everyone at the table. We are proud to be an equal opportunity employer, and encourage candidates from all backgrounds to apply to our open jobs. If you may require reasonable accommodations to participate in our interview process, please contact accommodations@formenergy.com. Requests for accommodations will be treated with discretion. Form Energy is committed to maintaining the privacy of our applicants. Please be aware that we will never solicit sensitive personal information such as Social Security numbers or bank account details during the recruiting or hiring process.", "summaryDescription" : "Manager, Materials Characterization at Form Energy. Skills: Materials characterization, Laboratory leadership, Method development. Provide strategic direction. 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Work closely with laser teams; Work closely with packaging teams; Work closely with characterization teams", "domainKnowledge" : "Semiconductor lasers; Laser physics; Semiconductor physics; Semiconductor optical amplifiers; LIV curves; Gain; Saturation power; Noise; Wavelength-dependent behavior; III-V semiconductor materials; Laser diode operation; Carrier dynamics; Optical gain; Thermal effects", "domainList" : [ "semiconductor-lasers", "laser-physics", "semiconductor-physics", "semiconductor-optical-amplifiers", "liv-curves", "gain", "saturation-power", "noise", "wavelength-dependent-behavior", "iii-v-semiconductor-materials", "laser-diode-operation", "carrier-dynamics", "optical-gain", "thermal-effects" ], "domainSpecificKnowledge" : [ "Semiconductor lasers", "Laser physics", "Semiconductor physics", "Semiconductor optical amplifiers", "LIV curves", "Gain", "Saturation power", "Noise", "Wavelength-dependent behavior", "III-V semiconductor materials", "Laser diode operation", "Carrier dynamics", "Optical gain", "Thermal effects" ], "toolProficiency" : [ "Optical spectrum analyzers", "Optical power meters", "Current drivers", "Temperature controllers", "Photodetectors", "Polarization controllers", "Optical filters", "Optical switches", "Fiber-coupled optical components" ], "communicationSkills" : "Communicate results clearly", "documentationSkills" : "Measurement reporting; Characterization reports", "problemSolvingSkills" : "Debugging open-ended lab issues; Debugging open-ended measurement issues", "specialRequirements" : "Capacity to comply with U.S. export control laws", "qualificationsBasic" : "PhD or advanced degree program enrollment, Understanding of semiconductor lasers, Understanding of laser physics, Understanding of basic semiconductor physics, Familiarity with laser characterization concepts, Hands-on experience with optical lab measurements, Hands-on experience with optical test equipment, Good understanding of semiconductor optical amplifiers, Experience using optical instruments, Analytical skills, Problem-solving skills, Ability to work independently, Ability to communicate results clearly", "qualificationsPreferred" : "Prior experience characterizing DFB lasers, Prior experience characterizing tunable lasers, Prior experience characterizing laser diodes, Prior experience characterizing semiconductor optical amplifiers, Experience with RIN measurements, Experience with SMSR measurements, Experience with linewidth measurements, Experience with wavelength stability measurements, Experience with long-term optical power stability measurements, Familiarity with fiber-optic alignment, Familiarity with polarization control, Familiarity with optical coupling, Familiarity with optical loss budgeting, Understanding of III-V semiconductor materials, Understanding of laser diode operation, Understanding of carrier dynamics, Understanding of optical gain, Understanding of thermal effects, Experience building automated optical characterization setups, Experience preparing clear characterization reports", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Lightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine, Passage™, capable of connecting thousands to millions of processors at the speed of light in extreme-scale data centers for the most advanced AI and HPC workloads. Lightmatter raised $400 million in its Series D round, reaching a valuation of $4.4 billion. We will continue to accelerate the development of data center photonics and grow every department at Lightmatter! If you're passionate about tackling complex challenges, making an impact, and being an expert in your craft, join our team of brilliant scientists, engineers, and accomplished industry leaders. Lightmatter is (re)inventing the future of computing with light! As a Laser Characterization Intern, you will focus on the fundamental performance, physics, and characterization of the semiconductor laser sources that power our photonic computing architecture. You will be responsible for executing State-of-the-Art (SOA) laser testing to ensure the highest levels of spectral purity and stability. Responsibilities Perform hands-on characterization of semiconductor lasers, laser sources, and semiconductor optical amplifiers. Measure and analyze laser and SOA performance metrics, including output power, wavelength, optical spectrum, side-mode suppression ratio, relative intensity noise, gain, saturation behavior, and wavelength/power stability. Conduct LIV measurements and evaluate laser behavior across current, voltage, temperature, and operating conditions. Perform wavelength and optical power stability measurements over time and across temperature. Characterize optical spectra using optical spectrum analyzers and related optical test equipment. Support RIN, SMSR, optical power, wavelength tuning, and stability measurements. Operate optical lab equipment such as current drivers, temperature controllers, optical spectrum analyzers, optical power meters, photodetectors, polarization controllers, optical filters, optical switches, and fiber-coupled optical components. Develop Python-based automation scripts for instrument control, data collection, data processing, and measurement reporting. Analyze measurement data, identify trends or anomalies, and summarize results clearly for the engineering team. Work closely with photonics, laser, packaging, and characterization teams to support laser and SOA bring-up, debug, and validation activities. Qualifications Currently enrolled in a PhD or advanced degree program in Electrical Engineering, Physics, Applied Physics, Photonics, Optics, or a related field. Strong understanding of semiconductor lasers, laser physics, and basic semiconductor physics. Familiarity with laser characterization concepts such as LIV curves, threshold current, slope efficiency, wall-plug efficiency, wavelength tuning, linewidth, RIN, SMSR, optical spectrum, and power stability. Hands-on experience with optical lab measurements and optical test equipment. Good understanding of semiconductor optical amplifiers, including optical gain, saturation power, noise, and wavelength-dependent behavior. Experience using optical instruments such as optical spectrum analyzers, optical power meters, current sources, temperature controllers, photodetectors, and optical filters. Exposure to Python scripting for instrument automation, data analysis, and visualization. Strong analytical and problem-solving skills for debugging open-ended lab and measurement issues. Ability to work independently in a lab environment and communicate results clearly Preferred Qualifications Prior experience characterizing DFB lasers, tunable lasers, laser diodes, or semiconductor optical amplifiers. Experience with RIN, SMSR, linewidth, wavelength stability, or long-term optical power stability measurements. Familiarity with fiber-optic alignment, polarization control, optical coupling, and optical loss budgeting. Understanding of III-V semiconductor materials, laser diode operation, carrier dynamics, optical gain, and thermal effects in semiconductor lasers. Experience building automated optical characterization setups using Python. Experience preparing clear characterization reports, including plots, test conditions, measurement methodology, and conclusions. We offer competitive compensation. The base salary range for this role determined based on location, experience, educational background, and market data. Hourly Range $57—$65 USD Benefits Comprehensive Health Care Plan (Medical, Dental & Vision) Retirement Savings Matching Program Life Insurance (Basic, Voluntary & AD&D) Generous Time Off (Vacation, Sick & Public Holidays) Paid Family Leave Short Term & Long Term Disability Training & Development Commuter Benefits Flexible, hybrid workplace model Equity grants (applicable to full-time employees) Benefits eligibility may vary depending on your employment status and location. Lightmatter recruits, employs, trains, compensates, and promotes regardless of race, religion, color, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law. Export Control Candidates should have capacity to comply with the federally mandated requirements of U. S. export control laws.", "summaryDescription" : "Laser Characterization Intern at Lightmatter. Skills: Laser characterization, Semiconductor lasers, Optical measurements, Python scripting. Execute State-of-the-Art laser testing. Perform characterization of semiconductor lasers", "postedDate" : "2026-06-11T20:18:06.798", "createdAt" : "2026-06-11T20:18:06.798", "lastUpdated" : "2026-06-14T09:40:50.594", "ingestTimestamp" : "2026-06-11T20:18:06.798", "mongoId" : "6a2a485474d8ee00a05dee51", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 118560, "salaryAnnualMax" : 135200, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Semiconductor laser physics", "Laser characterization", "Optical measurements", "Data analysis", "Instrument control", "Data collection", "Measurement reporting", "Semiconductor lasers", "Python scripting", "Performance metrics", "Laser physics", "Semiconductor physics", "Semiconductor optical amplifiers", "LIV curves", "Gain", "Saturation power", "Noise", "Wavelength-dependent behavior", "III-V semiconductor materials", "Laser diode operation", "Carrier dynamics", "Optical gain", "Thermal effects", "Optical spectrum analyzers", "Optical power meters", "Current drivers", "Temperature controllers", "Photodetectors", "Polarization controllers", "Optical filters", "Optical switches", "Fiber-coupled optical components" ], "skillCount" : 32, "jobCategory" : "other", "jobSubcategory" : "internships", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c5dd574d8ee00a08dee36", "title" : "Associate Director, Formulation Development", "company" : "MBX Biosciences", "industry" : "Biotech", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for an Associate Director, Formulation Development in the Biotech industry in Indianapolis, United States, adjusted for director-level seniority and company size." }, "location" : "Indianapolis, Indiana, United States", "locations" : [ "Indianapolis", "Indiana", "United States" ], "timestamp" : "2026-06-15T00:54:07.174", "fingerprint" : "7db869ec0f16de0097a7493f94d4d7a9f05ff83ef8f389f5e0ae5764ade436a5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://mbxbio.com/job-details/?gh_jid=5257541008", "externalId" : "5257541008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Indianapolis", "state" : "Indiana", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.7683331,-86.1583502" } ], "locationText" : "Indianapolis, Indiana, United States", "experienceLevel" : "Director", "professionalSkills" : [ "Formulation development", "Product quality", "Stability studies", "Analytical methods", "Process transfer", "Root cause analyses" ], "hardSkillsList" : [ "Peptide formulation", "Protein formulation", "Chromatographic techniques", "Spectroscopic techniques", "Physical characterization", "QC procedures", "Stability studies", "Process optimization", "Regulatory documents" ], "hardSkills" : [ { "name" : "Peptide formulation", "level" : "intermediate" }, { "name" : "Protein formulation", "level" : "intermediate" }, { "name" : "Chromatographic techniques", "level" : "intermediate" }, { "name" : "Spectroscopic techniques", "level" : "intermediate" }, { "name" : "Physical characterization", "level" : "intermediate" }, { "name" : "QC procedures", "level" : "intermediate" }, { "name" : "Stability studies", "level" : "intermediate" }, { "name" : "Process optimization", "level" : "intermediate" }, { "name" : "Regulatory documents", "level" : "intermediate" } ], "majorSkills" : "Formulation development, Peptide therapeutics, Product quality, Stability studies", "majorSkillsList" : [ "Formulation development", "Peptide therapeutics", "Product quality", "Stability studies" ], "coreResponsibilities" : "Lead formulation design, Optimize pharmaceutical formulations, Develop pharmaceutical formulations, Oversee formulation development laboratory activities, Support advancement of peptide therapeutics, Support implementation of analytical methods, Characterize peptides, Oversee implementation of QC procedures, Ensure compliance with regulatory guidance, Ensure compliance with industry standards, Plan non-GMP stability studies, Conduct non-GMP stability studies, Contribute to GMP stability study design, Assess shelf-life, Assess degradation pathways, Lead drug product process optimization studies, Contribute to drug product process optimization studies, Enhance product performance, Enhance manufacturability at scale, Contribute to process transfer to CDMOs, Identify formulation technical challenges, Address formulation technical challenges, Identify analytical technical challenges, Address analytical technical challenges, Partner with Regulatory personnel, Ensure appropriate data incorporated into regulatory documents, Ensure information incorporated into regulatory documents, Ensure documentation incorporated into regulatory documents", "teamCollaboration" : "Cross-functional teams; External partners", "domainKnowledge" : "Peptide formulation; Protein formulation; Pharmaceutical formulations; Peptide therapeutics; Product quality; Stability studies; ICH guidelines; GMP stability; Drug product process; Regulatory documents", "domainList" : [ "peptide-formulation", "protein-formulation", "pharmaceutical-formulations", "peptide-therapeutics", "product-quality", "stability-studies", "ich-guidelines", "gmp-stability", "drug-product-process", "regulatory-documents" ], "domainSpecificKnowledge" : [ "Peptide formulation", "Protein formulation", "Pharmaceutical formulations", "Peptide therapeutics", "Product quality", "Stability studies", "ICH guidelines", "GMP stability", "Drug product process", "Regulatory documents" ], "documentationSkills" : "Regulatory documents", "innovationCreativity" : "Innovative therapies", "problemSolvingSkills" : "Root cause analyses; Troubleshooting", "qualificationsBasic" : "Scientific expertise in peptide formulation, Scientific expertise in protein formulation, Collaboration across cross-functional teams, Collaboration with external partners", "qualificationsPreferred" : "Experience with MBX 4291, Experience with MBX 5765", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Position Summary The Associate Director, Formulation Development will play a key role on MBX Biosciences’ CMC team, supporting the development of peptide therapeutics across our pipeline. Reporting into our Senior Director, Drug Product- this person will lead formulation design and optimization, oversee studies related to product quality and stability, and support development activities from early assessment through manufacturing transfer. The role requires strong scientific expertise in peptide or protein formulation development, collaboration across cross-functional teams and external partners, and a focus on advancing innovative therapies in a fast-paced biotech environment. Key Responsibilities Lead and contribute to the design, development, and optimization of pharmaceutical formulations for MBX’s peptide therapeutics. Oversee formulation development laboratory activities to support the advancement of peptide therapeutics across the MBX portfolio Support implementation of analytical methods for characterizing peptides, including chromatographic techniques, spectroscopic techniques, and physical characterization in conjunction with AD Oversee and ensure the implementation of robust QC procedures and ensure compliance with regulatory guidance and industry standards (e.g., ICH guidelines) Plan and conduct non-GMP stability studies as part of formulation development. Contribute to the GMP stability study design to assess the shelf-life and degradation pathways. Lead and contribute to the design and execution of drug product process optimization studies, to enhance product performance and manufacturability at scale. Contribute to the process transfer to CDMOs Identify and address formulation and analytical technical challenges, e.g., through design experiments, root cause analyses, etc. Partner effectively with MBX Regulatory personnel to ensure appropriate data, information, and documentation related to formulation and analytical methods are incorporated into regulatory documents Other responsibilities as assigned Education and an obesity portfolio that includes MBX 4291 in Phase 1 development and MBX 5765 in preclinical development, as well as additional discovery candidates. The Company is based in Carmel, Indiana and Burlington, Massachusetts. To learn more, please visit the Company website at www.mbxbio.com and follow it on LinkedIn. EEO Statement: MBX Biosciences is an Equal Opportunity Employer and is committed to treating all applicants fairly without discrimination. We welcome applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law.", "summaryDescription" : "Associate Director, Formulation Development at MBX Biosciences. Skills: Formulation development, Peptide therapeutics, Product quality, Stability studies. Lead formulation design. Optimize pharmaceutical formulations", "postedDate" : "2026-06-12T21:45:05.645", "createdAt" : "2026-06-12T21:45:05.645", "lastUpdated" : "2026-06-15T00:54:07.174", "ingestTimestamp" : "2026-06-12T21:45:05.645", "mongoId" : "6a2c5dd574d8ee00a08dee36", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Peptide formulation", "Protein formulation", "Chromatographic techniques", "Spectroscopic techniques", "Physical characterization", "QC procedures", "Stability studies", "Process optimization", "Regulatory documents", "Formulation development", "Peptide therapeutics", "Product quality", "Analytical methods", "Process transfer", "Root cause analyses", "Pharmaceutical formulations", "ICH guidelines", "GMP stability", "Drug product process" ], "skillCount" : 19, "jobCategory" : "other", "jobSubcategory" : "cmc", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech" }, { "id" : "6a2a673274d8ee00a062ed82", "title" : "Manufacturing Associate - Characterization", "company" : "Twist Bioscience", "industry" : "Biotechnology", "salary" : { "min" : 48000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level Manufacturing Associate in Wilsonville, United States, adjusted for the Biotech industry and company size." }, "location" : "USA - Portland, OR", "locations" : [ "USA - Portland", "OR" ], "timestamp" : "2026-06-14T03:39:38.139", "fingerprint" : "b3508ba246e306c24c0f2990b0b4c778c7a6b2f7be0ee8370328597d559fd77a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/twistbioscience/jobs/7958649", "externalId" : "7958649", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Wilsonville", "state" : "Oregon", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "45.3099218,-122.7681600" } ], "locationText" : "Wilsonville, Oregon, United States", "technicalSkills" : "Molecular biology, Cellular biology, PCR, DNA quantitation, DNA purification, DNA cloning", "professionalSkills" : [ "Good manufacturing practices", "Lean manufacturing concepts" ], "hardSkillsList" : [ "Molecular biology workflows", "Cell biology workflows", "Analytic techniques" ], "hardSkills" : [ { "name" : "Molecular biology workflows", "level" : "intermediate" }, { "name" : "Cell biology workflows", "level" : "intermediate" }, { "name" : "Analytic techniques", "level" : "intermediate" } ], "majorSkills" : "Molecular biology, Cell biology, Analytic techniques", "majorSkillsList" : [ "Molecular biology", "Cell biology", "Analytic techniques" ], "coreResponsibilities" : "Produce IgG antibody products, Run analytic techniques, Perform basic reagent handling, Perform chemistry workflows, Perform molecular biology workflows, Manufacture DNA based intermediates, Manufacture DNA based products, Manufacture custom gene based products, Complete manufacturing batch records, Manufacture custom products, Operate laboratory equipment, Operate liquid handling robots, Use molecular processes, Use cell biology processes, Use molecular techniques, Use cell biology techniques, Maintain documentation of work, Update work instructions, Write work instructions, Work independently, Work in a safe manner, Perform consistent work, Help with troubleshooting, Handle process deviations, Package products, Organize products for shipping, Work according to ISO practices, Adopt lean manufacturing concepts, Promote lean manufacturing concepts, Complete daily assigned tasks, Keep manufacturing schedule on track, Report back to Lead, Report back to Supervisor", "teamCollaboration" : "Dynamic laboratory team", "domainKnowledge" : "Good Manufacturing Practices; ISO practices", "domainList" : [ "good-manufacturing-practices", "iso-practices" ], "domainSpecificKnowledge" : [ "Good Manufacturing Practices", "ISO practices" ], "toolProficiency" : [ "Hamilton Stars", "Bioanalyzers", "Centrifuges", "Sealers", "Thermocyclers", "Spectrometers", "Illumina Next-Gen sequencers", "Excel", "Word", "Atlassian" ], "communicationSkills" : "Written skills; Verbal skills", "documentationSkills" : "Documentation of work; Work instructions; Manufacturing batch records", "continuousLearning" : "Learn lean manufacturing concepts", "problemSolvingSkills" : "Troubleshooting; Process deviations", "specialRequirements" : "Stand for long periods, Work safely with chemicals, Work safely with hazardous materials, Lift up to 20 lbs, Work outside of regular work hours, Work a flexible shift", "outcomesObjectives" : "Meet production forecast; Meet timelines; Contribute to daily production schedule; Keep manufacturing schedule on track", "qualificationsBasic" : "Work in a cleanroom environment, Work safely with chemicals, Lift up to 20 lbs, Work outside of regular work hours, Work a flexible shift", "qualificationsPreferred" : "Associates or Bachelors degree in Biology, Bachelors degree in chemistry, Familiarity in a manufacturing environment, Prior experience in a manufacturing environment, Familiarity in a laboratory environment, Prior experience in a laboratory environment", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are looking for motivated, enthusiastic individuals to join our Twist Bioscience Operations team in Wilsonville, OR. The Manufacturing Associate, Characterization, will produce various IgG antibody products, focusing on molecular and cellular biology, as well as running analytic techniques in the high-throughput/highly-automated lab according to established SOPs, along with working with sensitive equipment and following good manufacturing practices. Candidates must also be a team player, neat and highly organized, able to work in a cleanroom environment and foster safe work practices. The Manufacturing Associate will perform basic reagent handling, chemistry and molecular biology workflows in a highly automated, high-throughput manner and will be responsible for the manufacture and analysis of a variety of custom DNA based intermediates and products across Twist Bioscience’s proprietary process workflow to meet the Twist production forecast and timelines. The ideal candidate will be driven and will do what it takes to keep manufacturing on track in a fast paced start-up environment. The Manufacturing Associate will be responsible for the production of custom gene based products and/or various intermediates according to established SOPs and complete manufacturing batch records to contribute to the daily production schedule. Roles and Responsibilities include but are not limited to: Manufacture high quality custom products in a high throughput MFG lab according to established SOPs. Operate laboratory equipment and liquid handling robots such as Hamilton Stars, bioanalyzers, centrifuges, sealers, thermocyclers, spectrometers, Illumina Next-Gen sequencers etc.) Effectively use molecular and cell biology processes and techniques, especially PCR, DNA quantitation, purification and cloning. Maintain thorough, accurate and detailed documentation of all work performed using existing document templates and software applications. Update and write work instructions and documentation. Work independently and in a safe manner. Pay great attention to details and perform consistent work without excessive supervision. Help Leads and Supervisors with troubleshooting and the handling of process deviations. Package and/or organize products for shipping. Work according to Good Manufacturing and ISO practices. Learn, adopt and promote lean manufacturing concepts. Complete all the daily assigned tasks to keep the manufacturing schedule on track and report back to Lead and Supervisor. What You’ll Bring to the Team Relevant experience that can indicate success in a high throughput, fast pace laboratory manufacturing environment. Associates or Bachelors degree in Biology, chemistry or related field is desirable. Familiarity or prior experience in a manufacturing and/or a laboratory environment is highly desirable. Good written and verbal skills are critical. Good computer skills (Excel, Word, Atlassian etc) and the ability to quickly learn new software applications. Ability to pay great attention to details. Working Conditions The work will be performed in a very dynamic laboratory team environment. It is a controlled laboratory environment. Must be able to stand for long periods of time while performing duties. Must be able to work safely with chemicals and hazardous materials. Must be able to lift up to 20 lbs. Must be able to work outside of regular work hours/ work a flexible shift as needed Please indicate shift preferences in your application. Possible Shifts: 1A: Sunday-Tuesday, Alt Wednesday (7:00am-7:30pm) About Twist Bioscience Twist Bioscience synthesizes genes from scratch, known as “writing” DNA. Just as children learn to both read and write, the next phase of development for the genomics revolution is the ability to write DNA. At Twist Bioscience, we work in service of people who are changing the world for the better. In fields such as health care, agriculture, industrial chemicals and data storage, our unique silicon-based DNA Synthesis Platform provides precision at a scale that is otherwise unavailable to our customers. Twist Bioscience Corporation is an Equal Opportunity Employer. Twist Bioscience Corporation provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic characteristics, or any other category protected by law. #LI-MS1 #LI-MS1", "summaryDescription" : "Manufacturing Associate - Characterization at Twist Bioscience. Skills: Molecular biology, Cell biology, Analytic techniques. Produce IgG antibody products. Run analytic techniques", "postedDate" : "2026-06-11T20:38:35.505", "createdAt" : "2026-06-11T20:38:35.505", "lastUpdated" : "2026-06-14T03:39:38.139", "ingestTimestamp" : "2026-06-11T20:38:35.505", "mongoId" : "6a2a673274d8ee00a062ed82", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 48000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Molecular biology workflows", "Cell biology workflows", "Analytic techniques", "Molecular biology", "Cell biology", "Good manufacturing practices", "Lean manufacturing concepts", "Good Manufacturing Practices", "ISO practices", "Hamilton Stars", "Bioanalyzers", "Centrifuges", "Sealers", "Thermocyclers", "Spectrometers", "Illumina Next-Gen sequencers", "Excel", "Word", "Atlassian" ], "skillCount" : 19, "jobCategory" : "operations", "jobSubcategory" : "operations-&-manufacturing", "dataQualityScore" : 0.7777778, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotechnology" }, { "id" : "69fda4e24c40e2acd1b99666", "title" : "Principal Applied Scientist, Amazon Payments", "company" : "Amazon.com Services LLC", "industry" : "Data Science, Applied Science, international stores", "salary" : { "min" : 198900.0, "max" : 269000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T04:18:45.670", "fingerprint" : "5131b8cae2e9a9c3ace8d612ccb0cf86994677edfa21ffa7de8a86235c7ee611", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10414299/apply", "externalId" : "5d1a0b8b-e599-4da8-abf1-22fe1f357ede", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD or MSc", "experienceMinYears" : 10, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Machine Learning, GenAI, Natural Language Processing", "professionalSkills" : [ "Thought leadership", "Research direction", "Roadmap creation" ], "hardSkillsList" : [ "AI", "Machine Learning", "GenAI", "Natural Language Processing", "Recommendation systems", "Prediction modeling" ], "softSkillsList" : [ "Leadership", "Judgment", "Innovation", "Inspire passion" ], "hardSkills" : [ { "name" : "AI", "level" : "intermediate" }, { "name" : "Machine Learning", "level" : "intermediate" }, { "name" : "GenAI", "level" : "intermediate" }, { "name" : "Natural Language Processing", "level" : "intermediate" }, { "name" : "Recommendation systems", "level" : "intermediate" }, { "name" : "Prediction modeling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Judgment" }, { "name" : "Innovation" }, { "name" : "Inspire passion" } ], "majorSkills" : "AI, Machine Learning, GenAI", "majorSkillsList" : [ "AI", "Machine Learning", "GenAI" ], "coreResponsibilities" : "Mentor a team of applied scientists, Create environment for applied scientists, Partner with engineering leaders, Deliver new Amazon Payments services, Leverage Machine Learning and GenAI, Identify research directions, Create roadmaps for research, Communicate roadmaps to senior leadership, Work closely with engineering teams, Bring research to production, Attract best scientists in machine learning, Leverage Amazon’s heterogeneous data sources, Leverage large-scale computing resources", "teamCollaboration" : "Work with peers; Partner with engineering leaders; Work with talented scientists; Work with talented peers", "projectManagementSkills" : [ "Roadmap creation" ], "domainKnowledge" : "Amazon Payments AI; Recommendation systems; Prediction systems; GEN AI platform; SOP automation", "domainList" : [ "amazon-payments-ai", "recommendation-systems", "prediction-systems", "gen-ai-platform", "sop-automation" ], "domainSpecificKnowledge" : [ "Amazon Payments AI", "Recommendation systems", "Prediction systems", "GEN AI platform", "SOP automation" ], "communicationSkills" : "Written communication; Verbal communication", "innovationCreativity" : "Expects and requires innovation", "problemSolvingSkills" : "Dive deep", "qualificationsBasic" : "PhD or MSc in computer science, 10+ years in AI and Machine Learning, Track record of thought leadership, skills in collaboration and teamwork, record of delivery in industry and academic contexts, Ability to handle multiple competing priorities, Excellent written and verbal communication skills", "qualificationsPreferred" : "12+ years in AI, Machine Learning, and Natural Language Processing, publication history in top publications", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are looking for a Principal Applied Scientist for Amazon Payments AI/ML Team, which contributes science and science-related engineering work for Amazon’s Payments Artificial Intelligence services (e.g. Amazon Payments Recommendation, Prediction, GEN AI platform to enable SOP automation and new projects already underway). In this role, you will work with your peers and senior management to set the direction for Amazon’s AI efforts. Our mission is to put the power of AI in the hands of every developer. You will be responsible for mentoring a team of applied scientists. You will be responsible for creating a strong environment for applied scientists, with a focus on recruiting, retaining and developing top talent. You will partner with engineering leaders to deliver remarkable new Amazon Payments services and features that leverage Machine Learning and GenAI. As a Principal Applied Scientist, you will identify research directions, create roadmaps for forward-looking research and communicate them to senior leadership, and work closely with engineering teams to bring research to production. You will work with teams of talented scientists, and fill the ranks by attracting the best scientists in machine learning, e.g. Amazon payments recommendation and natural language processing for SOP automation. You will work with talented peers and leverage Amazon’s heterogeneous data sources and large-scale computing resources. Basic Qualifications: - PhD or MSc in computer science or related fields - 10 + years in AI and Machine Learning in industry and/or academia - Track record of thought leadership and contributions that have advanced the field - Strong skills in collaboration and teamwork - Strong record of delivery in industry and academic contexts - Ability to handle multiple competing priorities in a fast-paced environment. - Excellent written and verbal communication skills Preferred Qualifications: - 12+ years in AI, Machine Learning, and Natural Language Processing in industry and/or academia. - Strong publication history in top publications. Professional traits that are not unique to this position, but necessary for Amazon leaders: - Exhibits excellent judgment - Hires and develops great people - Has relentlessly high standards (is never satisfied with the status quo) - Is able to dive deep and is never out of touch with the details of the business or the technology - Expects and requires innovation of her/his team - Has the innate ability to inspire passion in others - Strong results orientation - Thinks big Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 198,900.00 - 269,000.00 USD annually", "summaryDescription" : "Principal Applied Scientist, Amazon Payments at Amazon.com Services LLC. Skills: AI, Machine Learning, GenAI. Mentor a team of applied scientists. 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"Principal Applied Scientist", "company" : "UiPath", "industry" : "Engineering", "salary" : { "min" : 200000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Bellevue", "locations" : [ "Bellevue" ], "timestamp" : "2026-06-13T20:12:20.454", "fingerprint" : "8ead48167c8fe2d775c15404dcdc4333c40dc38f356d2f6493cf875e7fc551e8", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/uipath/e786c87c-054c-4ad7-a3c1-f8cf75f93c42/application", "externalId" : "e786c87c-054c-4ad7-a3c1-f8cf75f93c42", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 10, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, LLMs, Reinforcement learning, ML frameworks, AI systems, Multimodal pipelines, ML infrastructure, ML operations, Prompting, Retrieval-augmented generation, Chain-of-thought, Tool use, Long-term memory, Imitation learning", "professionalSkills" : [ "Technical strategy", "Productization", "System design", "ML infrastructure", "Model serving", "Continuous learning", "ML operations", "Agentic systems", "Research advances", "Automation workflows", "Agent behavior", "Cost analysis", "Latency analysis", "Quality analysis", "Technical leadership", "Experimentation", "Reproducibility", "Versioning", "Rigorous evaluation", "Ecosystem partners" ], "hardSkillsList" : [ "Agent-based automation", "Autonomous agents", "Multi-step reasoning", "LLM fine-tuning", "Computer-use modeling", "Agent orchestration", "Decision-making systems", "Model training", "Large-scale inference", "Model monitoring", "Drift detection", "Learning loops", "Offline evaluation", "Simulation environments", "Human-in-the-loop feedback", "A/B testing" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Agent-based automation", "level" : "intermediate" }, { "name" : "Autonomous agents", "level" : "intermediate" }, { "name" : "Multi-step reasoning", "level" : "intermediate" }, { "name" : "LLM fine-tuning", "level" : "intermediate" }, { "name" : "Computer-use modeling", "level" : "intermediate" }, { "name" : "Agent orchestration", "level" : "intermediate" }, { "name" : "Decision-making systems", "level" : "intermediate" }, { "name" : "Model training", "level" : "intermediate" }, { "name" : "Large-scale inference", "level" : "intermediate" }, { "name" : "Model monitoring", "level" : "intermediate" }, { "name" : "Drift detection", "level" : "intermediate" }, { "name" : "Learning loops", "level" : "intermediate" }, { "name" : "Offline evaluation", "level" : "intermediate" }, { "name" : "Simulation environments", "level" : "intermediate" }, { "name" : "Human-in-the-loop feedback", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Machine Learning, AI systems, Agent orchestration, LLM fine-tuning", "majorSkillsList" : [ "Machine Learning", "AI systems", "Agent orchestration", "LLM fine-tuning" ], "coreResponsibilities" : "Define and drive technical strategy for agent-based automation, Architect, prototype, and deploy advanced ML and AI, Lead the design and implementation of ML infrastructure, Partner closely with product, engineering, design, and go-to-market, Research state-of-the-art techniques, Apply techniques to automation workflows, Establish best practices, frameworks, and metrics for evaluating, Serve as a technical leader and mentor, Foster a culture of experimentation, reproducibility, versioning, and, Represent UiPath in the broader community", "teamCollaboration" : "Partner closely with product, engineering, design, and go-to-market teams; Collaboration with academia or ecosystem partners", "domainKnowledge" : "Agent-based automation; Autonomous agents; Enterprise automation; Foundation models; Agentic systems", "domainList" : [ "agent-based-automation", "autonomous-agents", "enterprise-automation", "foundation-models", "agentic-systems" ], "domainSpecificKnowledge" : [ "Agent-based automation", "Autonomous agents", "Enterprise automation", "Foundation models", "Agentic systems" ], "toolProficiency" : [ "ML frameworks", "ML libraries" ], "communicationSkills" : "Translate complex ML concepts", "innovationCreativity" : "Research advances; Experimentation", "problemSolvingSkills" : "Multi-step reasoning; Decision-making systems; Rigorous evaluation", "outcomesObjectives" : "Translate research advances into customer-facing capabilities; Drive high-impact outcomes", "qualificationsBasic" : "Advanced degree in Computer Science, Machine Learning, AI, or related field, or equivalent experience, 10+ years of industry experience in machine learning, Substantial experience building and operating ML systems in production, Deep expertise in modern ML frameworks and libraries, Proficiency in Python, Experience integrating ML models into large-scale software systems, Experience with large datasets, Experience with distributed training or inference, Experience with scalable architecture design, Experience with optimization for latency, throughput, and cost, Excellent communication skills", "qualificationsPreferred" : "MS or PhD preferred, Proven experience with large language models or foundation models, Fine-tuning, data preparation, inference optimization, or model evaluation experience", "workSiteFlexibility" : "Flexible", "rawDescription" : "LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? As a Principal Applied Scientist, you will lead the architecture, research, and productization of these next-generation ML systems, bridging deep research with deployment at scale and shaping the future of enterprise automation. What You Will Do • Define and drive technical strategy for agent-based automation, including how autonomous agents use LLMs, reinforcement learning, simulation environments, tool use, and multi-step reasoning to integrate with the UiPath platform. • Architect, prototype, and deploy advanced ML and AI systems, covering LLM fine-tuning, multimodal pipelines, computer-use modeling, agent orchestration frameworks, and decision-making systems. • Lead the design and implementation of ML infrastructure and services for model training, fine-tuning, large-scale inference, model serving, monitoring, drift detection, continuous learning loops, and ML operations for agentic systems. • Partner closely with product, engineering, design, and go-to-market teams to translate research advances into customer-facing capabilities. • Research state-of-the-art techniques in prompting, retrieval-augmented generation, chain-of-thought, tool use, long-term memory, and RL or imitation learning for agent behavior, and apply them to automation workflows. • Establish best practices, frameworks, and metrics for evaluating agentic systems, including offline evaluation, simulation environments, human-in-the-loop feedback, A/B testing, and cost, latency, and quality analysis. • Serve as a technical leader and mentor across ML engineering, data science, and software engineering, fostering a culture of experimentation, reproducibility, versioning, and rigorous evaluation. • Represent UiPath in the broader community through publications, open-source contributions, conference participation, and collaboration with academia or ecosystem partners. What We Are Looking For • Advanced degree (MS or PhD preferred) in Computer Science, Machine Learning, AI, or a related field, or equivalent experience. • 10+ years of industry experience in machine learning, including substantial experience building and operating ML systems in production. • Deep expertise in modern ML frameworks and libraries, strong proficiency in Python, and experience integrating ML models into large-scale software systems. • Proven experience with large language models or foundation models, including fine-tuning, data preparation, inference optimization, or model evaluation. • Experience with large datasets, distributed training or inference, scalable architecture design, and optimization for latency, throughput, and cost. • Excellent communication skills with the ability to translate complex ML concepts to product and business audiences. • Demonstrated technical leadership in mentoring, influencing strategy, balancing research with delivery, and driving high-impact outcomes. #LI-MH1 Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.", "summaryDescription" : "Principal Applied Scientist at UiPath. Skills: Machine Learning, AI systems, Agent orchestration, LLM fine-tuning. Define and drive technical strategy for agent-based automation. Architect, prototype, and deploy advanced ML and AI", "postedDate" : "2026-06-11T16:30:27.984", "createdAt" : "2026-06-11T16:30:27.984", "lastUpdated" : "2026-06-13T20:12:20.454", "ingestTimestamp" : "2026-06-11T16:30:27.984", "mongoId" : "6a2a7e5b74d8ee00a0668caa", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 200000, "salaryAnnualMax" : 250000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Agent-based automation", "Autonomous agents", "Multi-step reasoning", "LLM fine-tuning", "Computer-use modeling", "Agent orchestration", "Decision-making systems", "Model training", "Large-scale inference", "Model monitoring", "Drift detection", "Learning loops", "Offline evaluation", "Simulation environments", "Human-in-the-loop feedback", "A/B testing", "Leadership", "Mentoring", "Machine Learning", "AI systems", "Technical strategy", "Productization", "System design", "ML infrastructure", "Model serving", "Continuous learning", "ML operations", "Agentic systems", "Research advances", "Automation workflows", "Agent behavior", "Cost analysis", "Latency analysis", "Quality analysis", "Technical leadership", "Experimentation", "Reproducibility", "Versioning", "Rigorous evaluation", "Ecosystem partners", "Enterprise automation", "Foundation models", "ML frameworks", "ML libraries" ], "skillCount" : 44, "jobCategory" : "engineering", "jobSubcategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6931903470f0b99d58087a69", "title" : "Materials Characterization Engineer, SPICE Lab", "company" : "Amazon.com Services LLC", "industry" : "Hardware Development, alexa and amazon devices", "salary" : { "min" : 86900.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T06:14:15.411", "fingerprint" : "54ec2b58b79015b253a890c26c1589d5817170bb27531590b6793f42c9fc56f7", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3136860/apply", "externalId" : "eafe50a2-9eea-42aa-bb72-2317f16f00f3", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Optical microscopy, Electron microscopy, X-ray imaging, EDS, FTIR, XRF, DSC, DMA, TMA, Rheometer, IC, GC-MS, SEM, Computed tomography", "professionalSkills" : [ "Materials characterization", "Failure analysis", "Data interpretation", "Sample preparation", "Physical characterization", "Chemical characterization", "Corrective actions", "Method development", "Design best practices", "Manufacturing best practices", "Material selection", "Root cause analysis" ], "hardSkillsList" : [ "Materials science", "Engineering" ], "hardSkills" : [ { "name" : "Materials science", "level" : "intermediate" }, { "name" : "Engineering", "level" : "intermediate" } ], "majorSkills" : "Materials characterization, Failure analysis, Sample preparation", "majorSkillsList" : [ "Materials characterization", "Failure analysis", "Sample preparation" ], "coreResponsibilities" : "Develop analysis outcomes, Execute analysis outcomes, Investigate structure/process/properties relationships, Optimize packaging solutions, Act as liaison, Triage lab requests, Design materials investigations, Execute materials investigations, Provide leadership updates, Collect data, Analyze data, Consult on corrective actions, Consult on method development, Consult on design best practices, Consult on manufacturing best practices, Consult on material selection, Support Sr. Engineering staff, Deliver expedient results, Deliver accurate results, Maintain lab tools, Ownership of operations best-practices, Ownership of operations initiatives, Ensure efficient work environment, Provide daily updates", "teamCollaboration" : "Cross-functional stakeholders; Global Materials Science organization; Sr. Engineering staff; Internal stakeholders", "domainKnowledge" : "Packaging solutions; Materials science; Hardware development", "domainList" : [ "packaging-solutions", "materials-science", "hardware-development" ], "domainSpecificKnowledge" : [ "Packaging solutions", "Materials science", "Hardware development" ], "toolProficiency" : [ "Issue Management application" ], "communicationSkills" : "Materials analysis report", "documentationSkills" : "Materials analysis report", "innovationCreativity" : "Develop new methods", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "specialRequirements" : "Hands-on lab work", "outcomesObjectives" : "Improve product reliability; Improve product safety; Accelerate innovation; Impact design; Optimize for cost; Optimize for performance; Optimize for sustainability", "qualificationsBasic" : "2+ years hardware design, Bachelor's degree in mechanical engineering, electrical engineering, material science, physics or equivalent, Experience with benchmarking technical equipment, Experience with lab safety, security and quality practices, Experience using materials and failure analysis techniques", "qualificationsPreferred" : "Master's degree, Independently troubleshoot scientific equipment, Maintain scientific equipment, Develop new methods for scientific equipment, Apply failure analysis methodology, Develop analysis plans, Develop root-cause hypothesis, Corrective action recommendations", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "SPICE lab (a Seattle-based branch of Amazon’s Lab126 subsidiary) is a research and development group partnering with Amazon’s most ambitious hardware organizations. SPICE lab Amazon’s growing portfolio of hardware programs including Kuiper, Prime Air, Mechatronics, Sustainable Packaging, AWS, Lab126 Devices and others. If you are passionate about building the future and want to take part in developing ideas from concept to production, consider joining the SPICE lab team! The Role: The Materials Characterization and Failure Analysis team leverages science and engineering to improve product reliability and safety, accelerate innovation, and make a direct impact on design through high-quality analysis and expert interpretation of data. This position will support the Global Materials Science organization by investigating structure/process/properties relationships in packaging solutions, optimizing for cost, performance, and sustainability. You will develop and execute world-class analysis outcomes in the areas of sample preparation and physical/chemical characterization. A majority of time will be spent in a lab environment, so demonstrated enthusiasm for hands-on work developing and executing lab procedures is key. You will act as the formal liaison between SPICE lab and the Global Materials Science (GMS) organization, triaging requests of the lab team, designing/executing materials investigations, and providing updates to leadership. Key job responsibilities • Data collection and analysis utilizing a variety of characterization methods including optical/electron microscopy, x-ray imaging, spectroscopy (EDS, FTIR, XRF), thermal-mechanical (DSC, DMA, TMA, rheometer), and chromatography (IC, GC-MS) • Consultation on corrective actions, method development, design/manufacturing best practices and material selection for cross-functional stakeholders • Supporting Sr. Engineering staff to deliver expedient and accurate results for high-priority and escalated investigations • Maintenance of lab tools, and ownership of operations best-practices/initiatives to ensure a clean and efficient work environment for the team A day in the life On a typical day in this role you will split time between your desk in our office area and the lab facility down the hallway. You'll have a queue of between 2 and 5 investigations at various stages, tracked using our Issue Management application and provide our internal stakeholders daily updates on progress. Your projects will most often culminate in a materials analysis report document which you'll use to build consensus around actions for the business to take in order drive new innovations in materials science and engineering. About the team SPICE lab supports three main roles: Reliability Testing, Failure Analysis, and Materials Characterization. We frequently work together because conducting thorough root cause analysis is valuable for understanding and remedying any issues uncovered as part of a program's reliability testing plan. Likewise, the reliability testing team can help to reproduce failure mechanisms, helping to validate Failure Analysis team's hypotheses. Finally, many of the same tools are valuable in measuring materials properties or other figures of merit in materials selection exercises. Basic Qualifications: - 2+ years of hardware design and validation of components, subsystems and systems experience - Bachelor's degree in mechanical engineering, electrical engineering, material science, physics or equivalent - Experience with benchmarking technical equipment and metrics - Experience with lab safety, security and quality practices - Experience using materials and failure analysis techniques. Examples include SEM, computed tomography (CT) x-ray, cross sectioning, and FTIR Preferred Qualifications: - Master's degree - Experience independently troubleshooting, maintaining, and developing new methods for scientific equipment. - Demonstrated ability to apply failure analysis methodology to independently develop analysis plans and develop a root-cause hypothesis with corrective action recommendations Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $86,900/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Materials Characterization Engineer, SPICE Lab at Amazon.com Services LLC. Skills: Materials characterization, Failure analysis, Sample preparation. Develop analysis outcomes. Execute analysis outcomes", "postedDate" : "2026-06-13T06:24:20.710", "createdAt" : "2026-06-13T06:24:20.710", "lastUpdated" : "2026-06-15T06:14:15.411", "ingestTimestamp" : "2026-06-13T06:24:20.710", "mongoId" : "6931903470f0b99d58087a69", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3136860/apply", "salaryAnnualMin" : 86900, "salaryAnnualMax" : 185000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Materials science", "Engineering", "Materials characterization", "Failure analysis", "Sample preparation", "Data interpretation", "Physical characterization", "Chemical characterization", "Corrective actions", "Method development", "Design best practices", "Manufacturing best practices", "Material selection", "Root cause analysis", "Packaging solutions", "Hardware development", "Issue Management application" ], "skillCount" : 17, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a48eb74d8ee00a05e29a2", "title" : "Sales and Application Scientist – Protein Engineering (Non-Bench)", "company" : "Integral Molecular", "industry" : "Biotech", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-seniority Sales and Application Scientist in the Biotech industry in Philadelphia, United States, adjusted for company size and specific role focus." }, "location" : "Philadelphia, Pennsylvania, United States", "locations" : [ "Philadelphia", "Pennsylvania", "United States" ], "timestamp" : "2026-06-14T22:15:12.063", "fingerprint" : "0f19bce5b303bbf3f38ed838a85e4826ba953bf229075d556afedc1f73b1ac1b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/integralmolecular/jobs/5250576008", "externalId" : "5250576008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Philadelphia", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.9527237,-75.1635262" } ], "locationText" : "Philadelphia, Pennsylvania, United States", "minimumEducation" : "PhD", "professionalSkills" : [ "Commercial development", "Revenue targets", "Pipeline forecasting", "Opportunity tracking", "Market intelligence" ], "hardSkillsList" : [ "Technical feasibility", "Risk assessment" ], "hardSkills" : [ { "name" : "Technical feasibility", "level" : "intermediate" }, { "name" : "Risk assessment", "level" : "intermediate" } ], "majorSkills" : "Protein Engineering, Sales, Application Science", "majorSkillsList" : [ "Protein Engineering", "Sales", "Application Science" ], "coreResponsibilities" : "Prospect and convert accounts, Vet technical feasibility, Vet risk, Partner with product manager, Set revenue targets, Own attainment of targets, Serve as technical SME, Run calls independently, Manage active customer projects, Provide status updates, Manage timeline, Coordinate deliverables, QC reports, Co-deliver customer data reports, Ensure scientific accuracy, Ensure outputs on-scope, Own CRM hygiene, Own pipeline forecasting, Own opportunity tracking, Contribute commercial forecast, Represent Integral Molecular externally, Bring market intelligence back", "teamCollaboration" : "Scientific team; Product manager; Scientific leaders; Product leaders", "projectManagementSkills" : [ "Timeline management" ], "domainKnowledge" : "Protein Engineering platform; Biotech; Pharma; Therapeutics", "domainList" : [ "protein-engineering-platform", "biotech", "pharma", "therapeutics" ], "domainSpecificKnowledge" : [ "Protein Engineering platform", "Biotech", "Pharma", "Therapeutics" ], "toolProficiency" : [ "CRM" ], "communicationSkills" : "Presenting science; Business conversations", "problemSolvingSkills" : "Vetting technical feasibility; Vetting risk", "outcomesObjectives" : "Own attainment of revenue targets", "qualificationsBasic" : "PhD in biological sciences, Life sciences commercial experience", "qualificationsPreferred" : "Experience closing deals, Proven ability to prospect, Manage a pipeline, Close sales, Scientific storyteller, Comfortable presenting science", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Sales and Application Scientist - Protein Engineering (Non-Bench) - Job ID # 06032026 Are you a scientist who can walk into a room of discovery researchers or IP attorneys and earn their trust? Do you have experience closing deals for a commercial product? Join Integral Molecular as a Sales and Application Scientist where you will own commercial development for our Protein Engineering (PE) platform, independently prospecting, closing, and delivering customer projects. If you are eager to make a difference and be part of an organization that encourages your enterprising spirit, we welcome you to join our team. We are proud of our inclusive company culture where every individual is valued and feels a sense of belonging. Take the next step in your career path with us. What you will gain from working at Integral Molecular: Build something. You are commercializing the PE platform in an open market; building the territory from the ground up, not inheriting one Stay scientific. Exposure to cutting-edge therapeutics and platforms from across the biotech and pharma ecosystem, without the bench Stability and momentum. With 25 years of independent ownership, we have the freedom to continuously innovate A company culture and a city you’ll enjoy. Work in the heart of Philadelphia’s biotech hub with a flexible schedule, supportive culture, and leaders committed to your growth What you will do at Integral Molecular Prospect and convert biotech, pharma, and IP accounts through outbound outreach and conferences, vetting technical feasibility and risk with the scientific team first. Partner with the product manager to set revenue targets by market and customer persona, and own attainment of those targets. Serve as the technical SME on all pre- and post-sale customer discussions; master the PE platform well enough to run calls independently without senior support Manage active customer projects end-to-end: status updates, timeline management, and deliverable coordination through final report QC and co-deliver final customer data reports, ensuring outputs are scientifically accurate and on-scope Own CRM hygiene, pipeline forecasting, and opportunity tracking in Salesforce; contribute a short-term commercial forecast Represent Integral Molecular externally - at conferences, in webinars, presentations and bring market intelligence back to scientific and product leaders The ideal candidate will have Prior life sciences commercial experience: BD, sales, or application scientist role Proven ability to prospect, manage a pipeline, and close - not just support sales is desired Scientific storyteller: ability to translate complex science into value-driven business conversations. Comfortable presenting science to diverse buyers: discovery scientists, BD leaders, IP counsel PhD in biological sciences or related STEM field If you find this position appealing, please submit a resume and cover letter that outlines your interest in our company, your relevant experiences for this role, and salary expectations. Integral Molecular is an Equal Opportunity Employer.", "summaryDescription" : "Sales and Application Scientist – Protein Engineering (Non-Bench) at Integral Molecular. Skills: Protein Engineering, Sales, Application Science. Prospect and convert accounts. Vet technical feasibility", "postedDate" : "2026-06-11T21:07:10.763", "createdAt" : "2026-06-11T21:07:10.763", "lastUpdated" : "2026-06-14T22:15:12.063", "ingestTimestamp" : "2026-06-11T21:07:10.763", "mongoId" : "6a2a48eb74d8ee00a05e29a2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Technical feasibility", "Risk assessment", "Protein Engineering", "Sales", "Application Science", "Commercial development", "Revenue targets", "Pipeline forecasting", "Opportunity tracking", "Market intelligence", "Timeline management", "Protein Engineering platform", "Biotech", "Pharma", "Therapeutics", "CRM" ], "skillCount" : 16, "jobCategory" : "other", "jobSubcategory" : "research", "dataQualityScore" : 0.7777778, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech" }, { "id" : "6a2cba5a74d8ee00a09f906e", "title" : "Senior or Principal Data Scientist/Machine Learning Scientist", "industry" : "Technology", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Scientist/Machine Learning Scientist in Cambridge, United States, adjusted for seniority and industry." }, "location" : "Cambridge, MA", "locations" : [ "Cambridge, MA" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T05:15:21.554", "fingerprint" : "f157367f29879db9d85a91c4e1327e0df66eb8c53d3924a931697cb5c8582155", "source" : "jazzhr", "language" : "en", "externalId" : "tljr8NqfPM", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cambridge", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3656347,-71.1040018" } ], "locationText" : "Cambridge, Massachusetts, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, R, SQL, Spark, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, AWS, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Statistical methods", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data science, Machine learning", "majorSkillsList" : [ "Data science", "Machine learning" ], "coreResponsibilities" : "Develop and deploy machine learning models, Design and implement data pipelines, Build and maintain BI dashboards, Perform statistical analysis, Conduct quantitative research, Collaborate with engineering teams, Communicate findings to stakeholders", "teamCollaboration" : "Cross-functional teams; Stakeholder communication", "domainKnowledge" : "Cloud data stacks", "domainList" : [ "cloud-data-stacks" ], "domainSpecificKnowledge" : [ "Cloud data stacks" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Present findings", "qualificationsBasic" : "5+ years experience, Master's degree in Statistics, SQL proficiency", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "workSiteFlexibility" : "Onsite", "summaryDescription" : "Senior or Principal Data Scientist/Machine Learning Scientist. 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FBA operations; Seller services; Technical teams; Category teams; Finance teams", "projectManagementSkills" : [ "Roadmap strategy", "Roadmap execution", "Product delivery", "Feature delivery" ], "domainKnowledge" : "High ASP segment; Seller trust; Premium inventory; Fulfillment partner; Supply chain; Serialized Validation Services; High-value product protections; High-value inventory", "domainList" : [ "high-asp-segment", "seller-trust", "premium-inventory", "fulfillment-partner", "supply-chain", "serialized-validation-services", "high-value-product-protections", "high-value-inventory" ], "domainSpecificKnowledge" : [ "High ASP segment", "Seller trust", "Premium inventory", "Fulfillment partner", "Supply chain", "Serialized Validation Services", "High-value product protections", "High-value inventory" ], "problemSolvingSkills" : "Solving complex problems; Identify opportunities; Measure impact; Iterate on solutions", "outcomesObjectives" : "Improve seller trust; Eliminate operational challenges; Build category-specific solutions; Transform seller view; Drive overall selection growth; Drive seller trust; Drive business performance; Eliminate supply-side defects; Drive demand-side improvements; Accelerate selection growth; Make FBA preferred choice", "qualificationsBasic" : "10+ years product management experience, 10+ years program management experience, Bachelor's degree, Own/drive roadmap strategy, End to end product delivery, Feature delivery and tradeoffs", "qualificationsPreferred" : "MBA, Financial analysis experience, P&L ownership experience, Operations/supply chain experience, Build trust-based programs experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "High ASP products represent a significant growth opportunity in the US marketplace and our team is tackling this opportunity head-on: improving seller trust by eliminating foundational operational challenges, building category-specific solutions for premium inventory, and transforming how high-value sellers view Amazon as their fulfillment partner of choice. If you're a seasoned product leader who thrives on solving complex, high-stakes problems that directly impact both profitability and growth, this role offers the opportunity to shape the future of premium seller services. In this role, you will work with a wide range of stakeholders across FBA operations, seller services, technical, category, and finance teams to drive overall selection growth, seller trust, and business performance in the High ASP segment. The role will focus on executing our multi-year product vision: eliminating foundational supply-side defects (inbound loss, returns, removals), building product category solutions, implementing specialized FBA capabilities, and ultimately driving demand-side customer experience improvements. Key job responsibilities - Own strategic roadmap execution for High ASP seller programs aligned to our multi-year vision (supply-side defects → category solutions → specialized capabilities → demand-side customer experience) - Drive trust restoration by eliminating structural operational gaps in inbound processing, customer returns, and inventory removal processes - Build category-specific solutions such as Serialized Validation Services and other high-value product protections - Partner cross-functionally with FBA operations, seller recruitment (US/international), category teams, MFN, and finance to drive cohesive seller experience - Accelerate selection growth through seller programs, partnerships, and operational improvements that make FBA the preferred choice for high-value inventory - Influence strategic direction across multiple organizations to align on High ASP as a critical driver for marketplace success - Leverage data and seller insights to identify opportunities, measure impact, and iterate on solutions Drive adoption and performance improvements across the High ASP seller base to accelerate growth Basic Qualifications: - 10+ years of product or program management, product marketing, business development or technology experience - 10+ years of blending product and program management skills to execute strategic initiatives about process creation, standardization, and improvement experience - Bachelor's degree - Experience owning/driving roadmap strategy and definition - Experience with end to end product delivery - Experience with feature delivery and tradeoffs of a product - Experience as a product manager or owner Preferred Qualifications: - MBA - Experience with financial analysis and P&L ownership - Experience with operations/supply chain - Track record of building trust-based programs that serve business customers or sellers in high-stakes environments Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 161,900.00 - 219,000.00 USD annually", "summaryDescription" : "Principal Product Manager, High ASP, US 3P at Amazon.com Services LLC. Skills: Product strategy, Roadmap execution, Seller trust, Business performance. Own strategic roadmap execution. Drive trust restoration", "postedDate" : "2026-06-13T05:28:08.773", "createdAt" : "2026-06-13T05:28:08.773", "lastUpdated" : "2026-06-14T23:38:33.283", "ingestTimestamp" : "2026-06-13T05:28:08.773", "mongoId" : "69cf3f042beec4dd3d933ff6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10381421/apply", "salaryAnnualMin" : 161000, "salaryAnnualMax" : 219000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Roadmap strategy", "Product delivery", "Feature delivery", "Financial analysis", "P&L ownership", "Supply chain management", "Product strategy", "Roadmap execution", "Seller trust", "Business performance", "Product marketing", "Business development", "Program management", "Category solutions", "Seller programs", "Operational improvements", "Supply chain", "High ASP segment", "Premium inventory", "Fulfillment partner", "Serialized Validation Services", "High-value product protections", "High-value inventory" ], "skillCount" : 23, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c652a74d8ee00a08fca55", "title" : "Product Development Manager, Formulation - Private Label", "industry" : "Food & Beverage", "salary" : { "min" : 115000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Manager, Product Development Manager, Formulation in Encinitas, United States, adjusted for the Consumer Goods industry and full-time employment." }, "location" : "Encinitas, CA", "locations" : [ "Encinitas, CA" ], "timestamp" : "2026-06-15T21:16:18.503", "fingerprint" : "41009de2be86f2cd5200bf18cf5761e60ecc180eea33c7f1bc8a0cb280c328bd", "source" : "jazzhr", "language" : "en", "externalId" : "VtZ6WLzPzz", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Encinitas", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.0369867,-117.2919818" } ], "locationText" : "Encinitas, California, United States", "experienceLevel" : "Manager", "professionalSkills" : [ "Product development", "Formulation development" ], "majorSkills" : "Product development, Formulation", "majorSkillsList" : [ "Product development", "Formulation" ], "coreResponsibilities" : "Develop new product formulations, Manage product development projects, Collaborate with cross-functional teams, Ensure product quality and compliance, Support private label product initiatives", "teamCollaboration" : "Cross-functional teams", "projectManagementSkills" : [ "Product development projects" ], "domainKnowledge" : "Private label products; Formulation science", "domainList" : [ "private-label-products", "formulation-science" ], "domainSpecificKnowledge" : [ "Private label products", "Formulation science" ], "qualificationsBasic" : "5+ years of experience in product development, Experience in formulation development, Experience with private label products", "workSiteFlexibility" : "Onsite", "summaryDescription" : "Product Development Manager, Formulation - Private Label. Skills: Product development, Formulation. Develop new product formulations. Manage product development projects", "createdAt" : "2026-06-14T18:45:46.435", "lastUpdated" : "2026-06-15T21:16:18.503", "ingestTimestamp" : "2026-06-14T18:45:46.435", "mongoId" : "6a2c652a74d8ee00a08fca55", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 175000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Product development", "Formulation", "Formulation development", "Product development projects", "Private label products", "Formulation science" ], "skillCount" : 6, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Manager", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consumer Goods", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305649f292fd229cf26da0", "title" : "Principal Applied Scientist, Agentic Automated Reasoning Group", "company" : "Amazon Development Center U.S., Inc.", "industry" : "Applied Science, Cloud Computing", "salary" : { "min" : 198900.0, "max" : 269000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, Massachusetts, USA", "locations" : [ "Boston, Massachusetts, USA" ], "timestamp" : "2026-06-16T07:23:33.194", "fingerprint" : "dfe17f726bcf19427730cb2fa1c08dd6d2bd8231c05c7eafb2810c408128e4c9", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10449178/apply", "externalId" : "9c0a471e-7f3b-4c3e-9012-49ef7e831caf", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Agentic Automated Reasoning Group is building the next generation of software verification tools combining advances in artificial intelligence, the computational capacity of the cloud, and our deep expertise in the domain. Join us if you want to be a part of this transformational endeavor. The Strata team (https://github.com/strata-org) is seeking a Principal Applied Scientist with broad interest and expertise in interactive theorem proving, programming language semantics, deductive verification and generative AI. You will combine your expertise with that of your coworkers to build new tools that solve code analysis problems previously considered beyond reach. Our application areas span all the way from Infrastructure as Code to high-performance cryptography written in assembly code, while our methods span from interactive theorem proving to automated test generation. Each day, hundreds of thousands of developers make billions of transactions worldwide on AWS. They harness the power of the cloud to enable innovative applications, websites, and businesses. Using automated reasoning technology and mathematical proofs, AWS allows customers to answer questions about security, availability, durability, and functional correctness. We call this provable security, absolute assurance in security of the cloud and in the cloud. https://aws.amazon.com/security/provable-security/ Key job responsibilities - Define roadmap and lead delivery of AR solutions across multiple customer use cases. - Identify tools and methods capable of addressing the verification needs of customers, including any novel analysis capabilities required. - Use tools spanning from fuzzers, property-based testing to model checkers, and interactive theorem provers to establish program properties. - Explore generative AI techniques to help customers formalize their requirements, find revealing tests, generate required boiler plate for testing and model checking, and find and repair program proofs. About the team You will be working with a team of formal verification specialists spanning recently hired PhDs to industry veterans. You will work collaboratively to deliver results in the form of verified code and tools to accelerate code verification for our customer teams. Basic Qualifications: - PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field - Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives - Experience programming in Java, C++, Python or related language - Experience with leading experienced scientists as well as having a record of developing junior members from academia or industry to a career track in a business environment - 10+ years of industry or academic work in formal verification, program analysis, constraint-solving or theorem proving experience Preferred Qualifications: - 10+ years of relevant work in industry or academia experience - Knowledge of problem solving, algorithm design and complexity analysis - Experience creating novel algorithms and advancing the state of the art - Have peer-reviewed scientific contributions in premier journals and conferences Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Santa Clara - 228,700.00 - 309,400.00 USD annually USA, MA, Boston - 198,900.00 - 269,000.00 USD annually USA, OR, Portland - 198,900.00 - 269,000.00 USD annually USA, TX, Austin - 198,900.00 - 269,000.00 USD annually", "summaryDescription" : "Principal Applied Scientist, Agentic Automated Reasoning Group at Amazon Development Center U.S., Inc.", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T22:00:17.044", "lastUpdated" : "2026-06-16T07:23:33.194", "ingestTimestamp" : "2026-06-15T22:00:17.044", "mongoId" : "6a305649f292fd229cf26da0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10449178/apply", "salaryAnnualMin" : 198900, "salaryAnnualMax" : 269000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cd91574d8ee00a0a47249", "title" : "Product Manager, Gene to Protein Lab Essentials", "company" : "GenScript/ProBio", "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-15T11:16:31.059", "fingerprint" : "02e5ff8bc01c86d035c87a5cffd44f2b8c2de867967aec77cc0ca0b0fd73f6ed", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/genscript/jobs/5164269007", "externalId" : "5164269007", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "gene synthesis", "professionalSkills" : [ "Life sciences tools, reagents, assays, or biotech solutions. US biopharma, CRO, academic, or assay development customer segments." ], "hardSkillsList" : [ "bioassay workflows", "reagent-based assays", "cell-based assays", "reporter systems", "plate-based detection technologies" ], "softSkillsList" : [ "collaboration" ], "hardSkills" : [ { "name" : "bioassay workflows", "level" : "intermediate" }, { "name" : "reagent-based assays", "level" : "intermediate" }, { "name" : "cell-based assays", "level" : "intermediate" }, { "name" : "reporter systems", "level" : "intermediate" }, { "name" : "plate-based detection technologies", "level" : "intermediate" } ], "softSkills" : [ { "name" : "collaboration" } ], "majorSkills" : "product management, product marketing, market analysis, customer needs, cross-functional collaboration", "majorSkillsList" : [ "product management, product marketing, market analysis, customer needs, cross-functional collaboration" ], "coreResponsibilities" : "Understand customer needs and workflows across bioassays, functional assays, reagent-based assays, and related application areas. Conduct voice-of-customer interviews with biopharma, CRO, academic, and assay development customers. Analyze market trends, customer segments, competitive landscape, pricing dynamics, and application requirements. Support product positioning, messaging, value proposition, and differentiation. Work cross-functionally with R&D, sales, marketing, and regional teams to translate market needs into product and commercial plans. Develop go-to-market materials, sales tools, customer-facing content, and launch support plans. Identify KOLs, key accounts, and collaboration opportunities to support market development.", "teamCollaboration" : "Work cross-functionally with R&D, sales, marketing, and regional teams.", "projectManagementSkills" : [ "launch readiness" ], "communicationSkills" : "communication; analytical", "problemSolvingSkills" : "product positioning; launch planning; sales enablement", "specialRequirements" : "Candidate must reside within the United States.", "outcomesObjectives" : "Drive commercial adoption of products.", "qualificationsBasic" : "5+ years of experience in product management, product marketing, market development, or business development in life sciences tools, reagents, assays, or biotech solutions. Familiarity with bioassay workflows, reagent-based assays, cell-based assays, reporter systems, or plate-based detection technologies. Experience with VOC, market analysis, competitive assessment, product positioning, launch planning, and sales enablement. commercial sense and ability to translate customer needs into actionable product and marketing strategy. Excellent communication, analytical, and cross-functional collaboration skills.", "qualificationsPreferred" : "Supporting assay, reagent, or molecular biology product portfolios. Prior experience in new product launch, market development, or application-driven product marketing. Good understanding of US biopharma, CRO, academic, or assay development customer segments. Experience working with cross-functional global teams.", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About GenScript GenScript Biotech Corporation (Stock Code: 1548.HK) is a global biotechnology group. Founded in 2002, GenScript has an established global presence across North America, Europe, the Greater China, and Asia Pacific. GenScript's businesses encompass four major categories based on its leading gene synthesis technology, including operation as a Life Science CRO, enzyme and synthetic biology products, biologics development and manufacturing, and cell therapy. GenScript is committed to striving towards its vision of being the most reliable biotech company in the world to make humans and nature healthier through biotechnology. We are looking for a US-based Product Management / Product Marketing professional to support assay-related product initiatives for life science and biopharma applications. This role will focus on customer workflow understanding, market insights, product positioning, launch readiness, and commercial adoption. This role can be fully remote, but the candidate must reside within the United States. Key Responsibilities Understand customer needs and workflows across bioassays, functional assays, reagent-based assays, and related application areas. Conduct voice-of-customer interviews with biopharma, CRO, academic, and assay development customers. Analyze market trends, customer segments, competitive landscape, pricing dynamics, and application requirements. Support product positioning, messaging, value proposition, and differentiation. Work cross-functionally with R&D, sales, marketing, and regional teams to translate market needs into product and commercial plans. Develop go-to-market materials, sales tools, customer-facing content, and launch support plans. Identify KOLs, key accounts, and collaboration opportunities to support market development. Requirements 5+ years of experience in product management, product marketing, market development, or business development in life sciences tools, reagents, assays, or biotech solutions. Familiarity with bioassay workflows, reagent-based assays, cell-based assays, reporter systems, or plate-based detection technologies. Experience with VOC, market analysis, competitive assessment, product positioning, launch planning, and sales enablement. Strong commercial sense and ability to translate customer needs into actionable product and marketing strategy. Excellent communication, analytical, and cross-functional collaboration skills. Preferred Experience supporting assay, reagent, or molecular biology product portfolios. Prior experience in new product launch, market development, or application-driven product marketing. Good understanding of US biopharma, CRO, academic, or assay development customer segments. Experience working with cross-functional global teams. #LI-EB1 #GS GenScript USA Inc/ProBio Inc. is a proud equal opportunity/affirmative action employer committed to attracting, retaining, and maximizing the performance of a diverse and inclusive workforce. It is the Company's policy to ensure equal employment opportunity without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, uniformed service member or veteran status, or any other characteristic protected by law. GenScript USA Inc./ProBio Inc. maintains a drug-free workplace. Please note: Genscript USA Inc./ProBio Inc. will only contact candidates through verified application sources. GenScript/Probio does not request personal information from candidates through individual email or any other platform.", "summaryDescription" : "Product Manager, Gene to Protein Lab Essentials at GenScript/ProBio. Skills: product management, product marketing, market analysis, customer needs, cross-functional collaboration. Understand customer needs and workflows across bioassays, functional assays, reagent-based assays, and related application areas. Conduct voice-of-customer interviews with biopharma, CRO, academic, and assay development customers. Analyze market trends, customer segments, competitive landscape, pricing dynamics, and a", "postedDate" : "2026-06-14T21:42:16.439", "createdAt" : "2026-06-14T21:42:16.439", "lastUpdated" : "2026-06-15T11:16:31.059", "ingestTimestamp" : "2026-06-14T21:42:16.439", "mongoId" : "6a2cd91574d8ee00a0a47249", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "bioassay workflows", "reagent-based assays", "cell-based assays", "reporter systems", "plate-based detection technologies", "collaboration", "product management, product marketing, market analysis, customer needs, cross-functional collaboration", "Life sciences tools, reagents, assays, or biotech solutions. US biopharma, CRO, academic, or assay development customer segments.", "launch readiness" ], "skillCount" : 9, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.98 } ], "status" : 200, "message" : "principal scientist protein formulation biophysical characterization high concentration biologics jobs", "metadata" : { "title" : "principal scientist protein formulation biophysical characterization high concentration biologics" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 12915, "totalPages" : 259, "hasNext" : true, "hasPrevious" : false } }

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