{ "count" : 156075, "data" : [ { "id" : "6a2ac0ec74d8ee00a06f297f", "title" : "Senior Associate Scientist - Engineered Cell Therapy Discovery", "company" : "Bristol Myers Squibb", "industry" : "Biopharma", "salary" : { "min" : 102570.0, "max" : 124290.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Seattle 400 Dexter - WA - US", "locations" : [ "Seattle 400 Dexter - WA - US", "United States of America" ], "timestamp" : "2026-06-14T22:37:37.409", "fingerprint" : "cb2d1415cd1de94bc09dc06ceb136c5b1df1b75fec1f6abe5c535e1f33e9ac2b", "source" : "workday", "language" : "en", "applyUrl" : "https://bristolmyerssquibb.wd5.myworkdayjobs.com/BMS/job/Seattle-400-Dexter---WA---US/Senior-Associate-Scientist---Engineered-Cell-Therapy-Discovery_R1603327", "externalId" : "R1603327", "industryFunction" : { }, "locationPoint" : "10.06069,-2.50192", "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", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "CAR T, eTCR, Gene editing, Flow cytometry, MSD, IncuCyte, High-content imaging", "professionalSkills" : [ "Immunological knowledge", "Experimental rigor", "Biological datasets", "Assay platforms", "Cellular assays", "Molecular assays", "Functional assays", "Synthetic biology", "Quantitative biology" ], "hardSkillsList" : [ "Functional assays", "Screening strategies", "Mechanistic studies", "Immune profiling", "Data analysis", "Assay development", "Cryopreservation", "Phenotypic analysis", "Troubleshooting" ], "hardSkills" : [ { "name" : "Functional assays", "level" : "intermediate" }, { "name" : "Screening strategies", "level" : "intermediate" }, { "name" : "Mechanistic studies", "level" : "intermediate" }, { "name" : "Immune profiling", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Assay development", "level" : "intermediate" }, { "name" : "Cryopreservation", "level" : "intermediate" }, { "name" : "Phenotypic analysis", "level" : "intermediate" }, { "name" : "Troubleshooting", "level" : "intermediate" } ], "majorSkills" : "Engineered Cell Therapy, CAR T, eTCR, Immune cell engineering", "majorSkillsList" : [ "Engineered Cell Therapy", "CAR T", "eTCR", "Immune cell engineering" ], "coreResponsibilities" : "Apply immunological knowledge, Design studies, Execute studies, Interpret studies, Contribute to screening strategies, Assess engineered T cell constructs, Perform mechanistic studies, Interrogate engineered T cell function, Analyze complex datasets, Interpret complex datasets, Identify biological trends, Support hypothesis generation, Guide experimental follow-up, Develop novel assays, Optimize novel assays, Quantitatively assess properties, Ensure assay robustness, Ensure assay reproducibility, Generate CAR T cells, Generate eTCR T cells, Cryopreserve CAR T cells, Cryopreserve eTCR T cells, Perform phenotypic analysis, Perform functional analysis, Analyze data, Provide insights, Participate in troubleshooting, Collaborate with cross-functional teams, Communicate findings, Maintain electronic notebooks", "teamCollaboration" : "Cross-functional teams; Stakeholders at all levels", "domainKnowledge" : "Cell therapy; Immune cell engineering; CAR T therapies; eTCR therapies; Hematologic malignancies; Solid cancers; Autoimmune disease; Biopharma discovery", "domainList" : [ "cell-therapy", "immune-cell-engineering", "car-t-therapies", "etcr-therapies", "hematologic-malignancies", "solid-cancers", "autoimmune-disease", "biopharma-discovery" ], "domainSpecificKnowledge" : [ "Cell therapy", "Immune cell engineering", "CAR T therapies", "eTCR therapies", "Hematologic malignancies", "Solid cancers", "Autoimmune disease", "Biopharma discovery" ], "toolProficiency" : [ "JMP", "R" ], "communicationSkills" : "Communicate findings clearly; Communicate findings concisely", "documentationSkills" : "Maintain electronic notebooks", "innovationCreativity" : "Innovative ideas", "problemSolvingSkills" : "Data-driven decision making; Troubleshooting", "outcomesObjectives" : "Advance next-generation therapies; Support discovery decisions; Prioritization of candidates", "qualificationsBasic" : "Bachelor's Degree, 4+ years experience, Master's Degree, 2+ years experience", "qualificationsPreferred" : "Developed knowledge of biological sciences, Developed knowledge of immunology, Developed knowledge of bioengineering, Experience developing quantitative in vitro assays, Experience with automation platforms, Experience analyzing biological datasets, Familiarity with data handling best practices, Proficiency in MSD, Proficiency in IncuCyte-based assays, Proficiency in multi-parameter flow cytometry, Proficiency in high-content imaging", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "**Working with Us** Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: [careers.bms.com/working-with-us](https://careers.bms.com/working-with-us). When you join BMS, you are joining a diverse, high-achieving team united by a common mission. The Cell Therapy Thematic Research Center is one of BMS’s differentiated research platforms delivering innovative therapies to patients. Our mission is to drive leadership in the use of cellular therapies to harness the power of the immune system in treating hematologic malignancies, solid cancers, and autoimmune disease. More specifically, our discovery and translational scientists are focused on developing next-generation, engineered cell-based therapies. The team is committed to discovering and developing transformative therapies that harness the power of the immune system to improve patient outcomes. Here, you will get the chance to grow and thrive through opportunities that are uncommon in scale and scope. You’ll pursue innovative ideas while advancing professionally alongside some of the brightest minds in biopharma. **Position Summary:** We are seeking an innovative and driven Senior Associate Scientist to join the Engineered Cell Therapy Discovery team and help advance next-generation CAR T and eTCR therapies for patients with cancer and other chronic diseases. In this role, you will apply immunological knowledge and experimental rigor to design and execute detailed functional assays, support screening of engineered T cell constructs, and interpret large biological datasets that shape discovery decisions. You will work closely with scientists across disciplines to develop robust assay platforms, evaluate engineered cell function in relevant biological models, and communicate clear, data-driven recommendations. The ideal candidate is excited by the intersection of immune cell engineering, quantitative biology, and scalable data generation in a fast-paced discovery setting. **Position Responsibilities:** In the role as a Senior Associate Scientist on the Engineered Cell Therapy Discovery team, the ideal candidate: * Applies strong immunological knowledge to the design, execution, and interpretation of studies evaluating engineered T cell CAR/eTCR constructs, novel payloads/gene editing across diverse biological conditions. * Contributes to screening strategies that assess engineered T cell constructs and functional responses leveraging automation where applicable, enabling data-driven prioritization of candidates. * Performs fine-detailed, nuanced mechanistic studies to interrogate engineered T cell function using multiparametric immune profiling approaches, including assessment of activation, exhaustion, memory, and effector phenotypes. * Analyzes and interprets complex datasets from cellular, molecular, and functional assays to identify biological trends, support hypothesis generation, guide experimental follow-up, and enabling data-driven prioritization of candidates. * Develops and optimizes novel assays to quantitatively assess the biological and functional properties of novel synthetic biology in engineered T cells. Ensures the robustness and reproducibility of these assays to support key project milestones. * Generates and cryopreserves CAR T cells and eTCR T cells with complex genetic engineering approaches. * Performs phenotypic and functional analysis of CAR and eTCR T cells using flow cytometry, IncuCyte, MSD, and other relevant methods. Analyzes data to provide insights into the performance, quality, and potential of engineered T cells. * Participates in troubleshooting activities related to the evolution of new approaches/technologies. * Collaborates effectively with cross-functional teams. Communicates findings clearly and concisely to stakeholders at all levels. * Maintains electronic notebooks in a rigorous and timely manner to support project milestones and patent/regulatory filings. **Experience =** **Basic Qualifications:** * Bachelor’s Degree * 4+ years of academic and / or industry experience Or * Master’s Degree * 2+ years of academic and / or industry experience **Preferred Qualifications:** * Required developed knowledge of the principles and concepts of biological sciences, immunology, bioengineering, or related discipline. * Experience developing and using quantitative in vitro assays to drive decision-making, especially in the drug development context, is strongly desired * Experience with automation platforms, including liquid handling systems or related technologies, in a high-throughput screening context is strongly desired. * Experience analyzing and visualizing complex biological datasets using software such as JMP, R, or similar quantitative analysis tools is preferred. Familiarity with data handling and analysis best practices for screening, multiparametric flow cytometry, or other higher-content assay platforms. * Proficiency in MSD, IncuCyte-based assays, multi-parameter flow cytometry, and/or high-content imaging technologies is strongly desired. * Skilled in generating, expanding, characterizing, and cryopreserving CAR T and eTCR T cells. * Experience with antibody discovery and molecular biology is preferred. * Excellent organizational skills for thorough and timely documentation of experiments across multiple projects. Maintains electronic notebooks rigorously. * Ability to independently recognize potential problems and recommend/develop appropriate solutions strongly desired. * Strong communication skills for working with cross-functional teams as well as cross-departmental colleagues. * Ability to work productively as both team member and as individual contributor. #LI-Onsite _If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career._ ******Compensation Overview:****** Seattle - WA: $102,570 - $124,290 The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee’s work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience. Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit [ https://careers.bms.com/life-at-bms/.](https://careers.bms.com/life-at-bms/) Benefit offerings are subject to the terms and conditions of the applicable plans in effect at the time and may require enrollment. Our benefits include: * **Health Coverage:** Medical, pharmacy, dental, and vision care. * **Wellbeing Support:** Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP). * **Financial Well-being and Protection:** 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support. ** Work-life benefits include:** Paid Time Off * US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees) * Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays Based on eligibility*, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day. All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown. _***Eligibility Disclosure:**_T_ he summer hours program is for United States (U.S.) office-based employees due to the unique nature of their work. Summer hours are generally not available for field sales and manufacturing operations and may also be limited for the capability centers. Employees in remote-by-design or lab-based roles may be eligible for summer hours, depending on the nature of their work, and should discuss eligibility with their manager. Employees covered under a collective bargaining agreement should consult that document to determine if they are eligible. Contractors, leased workers and other service providers are not eligible to participate in the program._ **Uniquely Interesting Work, Life-changing Careers** With a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. **On-site Protocol** BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role: Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. **Supporting People with Disabilities** BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to [adastaffingsupport@bms.com](mailto:adastaffingsupport@bms.com). Visit [careers.bms.com/](https://careers.bms.com/eeo-accessibility)[eeo](https://careers.bms.com/eeo-accessibility)[-accessibility](https://careers.bms.com/eeo-accessibility) to access our complete Equal Employment Opportunity statement. **Candidate Rights** BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: [https://careers.bms.com/california-residents/](https://careers.bms.com/california-residents/) **Data Protection** We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at [https://careers.bms.com/fraud-protection](http://careers.bms.com/fraud-protection). Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations. If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at [TAEnablement@bms.com](mailto:TAEnablement@bms.com). Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response. Inquiries related to the status of your application should be directed to Chat with Ripley. R1603327 : Senior Associate Scientist - Engineered Cell Therapy Discovery", "summaryDescription" : "Senior Associate Scientist - Engineered Cell Therapy Discovery at Bristol Myers Squibb. Skills: Engineered Cell Therapy, CAR T, eTCR, Immune cell engineering. Apply immunological knowledge. Design studies", "postedDate" : "2026-06-10T04:44:23.479", "createdAt" : "2026-06-12T04:44:23.441", "lastUpdated" : "2026-06-14T22:37:37.409", "ingestTimestamp" : "2026-06-12T04:44:23.441", "mongoId" : "6a2ac0ec74d8ee00a06f297f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://bristolmyerssquibb.wd5.myworkdayjobs.com/BMS/job/Seattle-400-Dexter---WA---US/Senior-Associate-Scientist---Engineered-Cell-Therapy-Discovery_R1603327", "salaryAnnualMin" : 102570, "salaryAnnualMax" : 124290, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Functional assays", "Screening strategies", "Mechanistic studies", "Immune profiling", "Data analysis", "Assay development", "Cryopreservation", "Phenotypic analysis", "Troubleshooting", "Engineered Cell Therapy", "CAR T", "eTCR", "Immune cell engineering", "Immunological knowledge", "Experimental rigor", "Biological datasets", "Assay platforms", "Cellular assays", "Molecular assays", "Synthetic biology", "Quantitative biology", "Cell therapy", "CAR T therapies", "eTCR therapies", "Hematologic malignancies", "Solid cancers", "Autoimmune disease", "Biopharma discovery", "JMP", "R" ], "skillCount" : 30, "jobCategory" : "engineering", "seniorityLevel" : "senior", "dataQualityScore" : 1.0, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biopharma" }, { "id" : "6a305722f292fd229cf346fa", "title" : "Associate Scientist II, Discovery DMPK", "company" : "Arrowhead Pharmaceuticals", "industry" : "Biotech", "salary" : { "min" : 70000.0, "max" : 80000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Madison, Wisconsin, United States", "locations" : [ "Madison", "Wisconsin", "United States" ], "timestamp" : "2026-06-16T08:14:13.873", "fingerprint" : "6195ab55bbdb4072b08680a95cbabe062350b6b4070dce077f520df2069f2d9b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://arrowheadpharma.com/careers/?gh_jid=5165206007", "externalId" : "5165206007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Madison", "state" : "Wisconsin", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.0746900,-89.3841663" } ], "locationText" : "Madison, Wisconsin, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor of Science", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "LC-MS, QPCR, RNAi", "professionalSkills" : [ "Sample preparation", "Quantitative bioanalysis" ], "hardSkillsList" : [ "Mass spectrometry", "Liquid chromatography" ], "hardSkills" : [ { "name" : "Mass spectrometry", "level" : "intermediate" }, { "name" : "Liquid chromatography", "level" : "intermediate" } ], "majorSkills" : "LC-MS, QPCR, Bioanalysis", "majorSkillsList" : [ "LC-MS", "QPCR", "Bioanalysis" ], "coreResponsibilities" : "Perform LC-HRMS or stem-loop qPCR based quantitative bioanalysis, Support pharmacokinetics and tissue clearance studies, Understand and follow sample preparation protocols, Document experimental procedure and results accurately, Execute all assays in a timely manner", "teamCollaboration" : "Multi-disciplinary, matrixed environment", "domainKnowledge" : "RNA interference; Gene silencing; Pharmacokinetics; Tissue clearance", "domainList" : [ "rna-interference", "gene-silencing", "pharmacokinetics", "tissue-clearance" ], "domainSpecificKnowledge" : [ "RNA interference", "Gene silencing", "Pharmacokinetics", "Tissue clearance" ], "toolProficiency" : [ "LC-HRMS" ], "communicationSkills" : "Oral communication; Written communication", "documentationSkills" : "Experimental documentation", "innovationCreativity" : "Demonstrated innovation; Creativity", "problemSolvingSkills" : "Problem solving", "specialRequirements" : "Authorization to work in country", "qualificationsBasic" : "Bachelor of Science in Chemistry, Biology, Biochemistry, or related field, 3+ years of lab experience, Hands-on experience of LC-MS or multiple detection techniques, Hands-on experience of sample handling from biological matrices", "qualificationsPreferred" : "Demonstrated practical understanding of liquid chromatography and mass spectrometry, Experience with high-throughput sample analysis applying bioanalysis assays, Experience working on oligonucleotides", "workSiteFlexibility" : "Onsite", "rawDescription" : "Arrowhead Pharmaceuticals, Inc. (Nasdaq ARWR) is a commercial stage biopharmaceutical company that develops medicines that treat intractable diseases by silencing the genes that cause them. Using a broad portfolio of RNA chemistries and efficient modes of delivery, Arrowhead therapies trigger the RNA interference mechanism to induce rapid, deep, and durable knockdown of target genes. RNA interference, or RNAi, is a mechanism present in living cells that inhibits the expression of a specific gene, thereby affecting the production of a specific protein. Arrowhead’s RNAi-based therapeutics leverage this natural pathway of gene silencing. Arrowhead is focused on developing innovative drugs for diseases with a genetic basis, typically characterized by the overproduction of one or more proteins that are involved with disease. The depth and versatility of our RNAi technologies enables us to potentially address conditions in virtually any therapeutic area and pursue disease targets that are not otherwise addressable by small molecules and biologics. Arrowhead is leading the field in bringing the promise of RNAi to address diseases outside of the liver, and our clinical pipeline includes disease targets in the liver and lung with a promising pipeline of preclinical candidates. Arrowhead’s corporate headquarters is in Pasadena, CA with research and development teams in Madison, WI & San Diego, CA, and a state of the art manufacturing facility in Verona, WI. Our employees are nimble, science-driven innovators who are collaborating to bring new therapies to patients in need. The Position Arrowhead Pharmaceuticals is seeking an Associate Scientist to join the discovery DMPK group in Chemistry Department. The successful candidate will primarily focus on analysis of biological samples using state of the art LC-MS (High resolution mass spectrometry is a plus) and qPCR assays, in support of discovery programs. Responsibilities Perform LC-HRMS or stem-loop qPCR based quantitative bioanalysis in a variety of biological matrices (fluids and tissues) in support of pharmacokinetics and tissue clearance studies. Understand and follow sample preparation protocols applicable to assigned tasks. Document experimental procedure and results accurately and meticulously. Execute all assays in a timely manner to meet deadlines. Requirements Bachelor of Science in Chemistry, Biology. Biochemistry, or related field 3+ years of lab experience Hands-on experience of LC-MS or multiple detection techniques. Hands-on experience of sample handling from biological matrices Demonstrated innovation, creativity and resilience in problem solving Excellent oral and written communication skills Self-motivated team player with the ability to thrive in a fast paced, multi-disciplinary, matrixed environment Preferred Demonstrated practical understanding of liquid chromatography and mass spectrometry Experience with high-throughput sample analysis applying bioanalysis assays. Experience working on oligonucleotides Self-motivated team player with the ability to thrive in a fast paced, dynamic, multi-disciplinary, matrixed environment Wisconsin pay range $70,000—$80,000 USD Arrowhead provides competitive salaries and an excellent benefit package. Candidates must have current, valid authorization to work in the country where this role is located. California Applicant Privacy Policy", "summaryDescription" : "Associate Scientist II, Discovery DMPK at Arrowhead Pharmaceuticals. Skills: LC-MS, QPCR, Bioanalysis. Perform LC-HRMS or stem-loop qPCR based quantitative bioanalysis. Support pharmacokinetics and tissue clearance studies", "postedDate" : "2026-06-15T23:18:05.024", "createdAt" : "2026-06-15T23:18:05.024", "lastUpdated" : "2026-06-16T08:14:13.873", "ingestTimestamp" : "2026-06-15T23:18:05.024", "mongoId" : "6a305722f292fd229cf346fa", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 70000, "salaryAnnualMax" : 80000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Mass spectrometry", "Liquid chromatography", "LC-MS", "QPCR", "Bioanalysis", "Sample preparation", "Quantitative bioanalysis", "RNA interference", "Gene silencing", "Pharmacokinetics", "Tissue clearance", "LC-HRMS" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "daysOld" : 0, "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 characterization", "level" : "intermediate" }, { "name" : "SPR", "level" : "intermediate" }, { "name" : "BLI", "level" : "intermediate" }, { "name" : "Octet", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Biologics drug discovery, Antibody engineering, Machine learning", "majorSkillsList" : [ "Biologics drug discovery", "Antibody engineering", "Machine learning" ], "coreResponsibilities" : "Contribute to target assessment, Contribute to modality selection, Contribute to biologics discovery strategies, Design antibody molecules, Engineer antibody molecules, Optimise antibody molecules, Act as experienced scientist, Bring expertise in antibody discovery, Bring expertise in antibody engineering, Contribute to programme execution, Contribute to scientific decision-making, Translate biological insight, Design molecules, Engineer molecules, Optimise molecules, Design molecules with credible path, Engineer molecules with credible path, Optimise 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", "Bispecifics", "ADCs", "Fusion proteins", "Fragments", "Bone biology", "Bone-microenvironment models", "Osteoblast", "Osteoclast", "Mineral-binding assays", "Resorption assays", "TechBio", "Computationally-driven discovery", "SPRiacore", "BLI/Octet" ], "skillCount" : 45, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.98 }, { "id" : "69fd34b84c40e2acd1b2f5ec", "title" : "Research Associate II - T Cell Therapy", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Research Associate II in Duarte, California, adjusted for the biotech industry and 2+ years of experience." }, "location" : "United States-California-Duarte", "locations" : [ "United States-California-Duarte", "Laboratory Research", "Onsite, Days, Days" ], "timestamp" : "2026-06-16T05:56:51.132", "fingerprint" : "b6a438987c348d7a81ee021f4b5660ef1c49e8dab09201e89b0a54969f0c4aac", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa067.taleo.net/careersection/ex/jobdetail.ftl?job=234324", "externalId" : "234324", "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", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "remoteFriendly" : false, "rawDescription" : "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. We are looking for a Research Associate II to join Dr. Elizabeth Budde's T Cell Therapeutics Research Laboratories. This role involves fast-paced research in cutting-edge technology, immunotherapeutic programs, and a commitment to delivering innovative solutions to critical illnesses. For more information on T Cell Therapeutics research, please visit here . As a successful candidate, you will: ·          Conduct tissue culture, maintaining cell cultures and applying aseptic techniques for various cell lines, especially T cell lines. ·          Perform T cell functional assays, including cytotoxicity, cytokine production assays, and ELISAs. ·          Conduct cell staining for Multicolor Flow Cytometry and analyze flow cytometry data. ·          Assist in murine surgical procedures, tissue harvesting/preparation, and contribute to revising/maintaining lab protocols. ·          Provide routine lab support and maintain activities in accordance with Good Laboratory Practices (GLP). Your qualifications should include: ·          Bachelor’s degree in Biological Sciences or related field, with 2 years of post-degree research experience, or 1 year with a Master’s degree ·          Exceptional attention to detail, accuracy in lab work, and robust record-keeping skills ·          Preferred: Master’s degree and hands-on experience in cellular immunology and GLP City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our Comprehensive Benefits, please CLICK HERE . United States-California-Duarte", "summaryDescription" : "Research Associate II - T Cell Therapy", "createdAt" : "2026-06-14T19:40:44.485", "lastUpdated" : "2026-06-16T05:56:51.132", "ingestTimestamp" : "2026-06-14T19:40:44.485", "mongoId" : "69fd34b84c40e2acd1b2f5ec", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "69dde45c2beec4dd3d9a3f4b", "title" : "QA Associate III - Cell Therapy Manufacturing", "company" : "City of Hope", "industry" : "Biotech", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Senior QA Associate III in the Biotech industry in Duarte, California, adjusted for seniority and company size." }, "location" : "United States-California-Duarte", "locations" : [ "United States-California-Duarte", "Cell Manufacturing", "Onsite, Days, Days" ], "timestamp" : "2026-06-15T09:15:11.038", "fingerprint" : "1172538c97ef3de1f7941e138fab452be753c5ea08b7f552eb12493d62aabaf0", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa067.taleo.net/careersection/ex/jobdetail.ftl?job=230885", "externalId" : "230885", "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" : "Bachelor's", "experienceMinYears" : 6, "experienceMaxYears" : 8, "experienceLevel" : "Senior", "coreResponsibilities" : "Assist QA Management, Achieve compliance, Perform quality assurance, Ensure compliance with GMP, Administer Deviation programs, Administer CAPA programs, Administer Change Control programs, Author Deviations, Track Deviation progress, Trend Deviation progress, Monitor Deviation progress, Track CAPA progress, Trend CAPA progress, Monitor CAPA progress, Track Change Control progress, Trend Change Control progress, Monitor Change Control progress, Provide KPI data, Evaluate KPI data, Schedule Change Control meetings, Coordinate Change Control meetings, Conduct internal cGMP training, Maintain training records, Maintain training program, Coordinate internal audits, Conduct internal audits, Write audit reports, Track audit commitments, Follow up audit commitments, Coordinate supplier assessments, Conduct supplier assessments, Maintain Approved Supplier List, Perform supplier requalification, Write Standard Operating Procedures, Review Standard Operating Procedures, Process Standard Operating Procedures", "teamCollaboration" : "Originating departments; SMEs", "domainKnowledge" : "Good Manufacturing Practices; Biopharmaceutical products; GMP facilities", "domainList" : [ "good-manufacturing-practices", "biopharmaceutical-products", "gmp-facilities" ], "domainSpecificKnowledge" : [ "Good Manufacturing Practices", "Biopharmaceutical products", "GMP facilities" ], "documentationSkills" : "Write audit reports; Write SOPs", "qualificationsBasic" : "Bachelor’s degree, 6-8 years experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "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. A Quality Assurance Associate III is available in the Beckman Research Institute of City of Hope. You will be responsible for assisting QA Management in achieving compliance with all Federal and State laws and regulations and other accrediting agency requirements in the collection, processing, preparation, and distribution of biopharmaceutical products manufactured in the GMP facilities at City of Hope (COH).    As a successful candidate, you will: ·          Perform quality assurance activities in the QA Compliance function and ensure compliance with Good Manufacturing Practices (GMP). ·          Administer the Deviation, CAPA, and Change Control programs as Business Process Owner. ·          Author Deviations in collaboration with originating departments and SMEs. ·          Track, Trend, and monitor the progress of Deviation, CAPA, and Change Controls in alignment with SOP criteria, assigned due dates, and business timelines. ·          Provide and evaluate Quality System KPI data in support of Quality Management Review ·          Schedule and coordinate the Change Control Committee meetings ·          Conduct internal cGMP training. Maintain training records and the training program. ·          Coordinate and conduct Internal audits, follow up and write reports for submission to QA management. Track and follow up on audit commitments for timely completion and closure. ·          Coordinate and conduct Supplier Quality Assessments and maintain the Approved Supplier List. Perform Supplier requalification in alignment with SOP criteria. ·          Write reviews and process Standard Operating Procedures. Your qualifications should include: ·          Bachelor’s degree with 6-8 years of experience within Quality Assurance required. ·          Masters degree preferred with 6+ years of experience or PhD with 1+ years of experience or Bachelors degree with 10+ years of experience preferred. City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our Comprehensive Benefits, please CLICK HERE . United States-California-Duarte", "summaryDescription" : "QA Associate III - Cell Therapy Manufacturing at City of Hope. Assist QA Management. Achieve compliance", "createdAt" : "2026-06-14T07:29:59.135", "lastUpdated" : "2026-06-15T09:15:11.038", "ingestTimestamp" : "2026-06-14T07:29:59.135", "mongoId" : "69dde45c2beec4dd3d9a3f4b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Good Manufacturing Practices", "Biopharmaceutical products", "GMP facilities" ], "skillCount" : 3, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306588f292fd229cfa90ce", "title" : "Manager, Discovery", "company" : "Nexxen", "industry" : "Sales & Marketing Operations", "salary" : { "min" : 110000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, NY", "locations" : [ "New York, NY" ], "timestamp" : "2026-06-16T10:49:44.260", "fingerprint" : "a47065e257b04f3ca8137170bb8cb344696394c86d507571b5ebfa0580d5166c", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/nexxen/fb3965f3-14cf-4963-aebd-f91dec314064/application", "externalId" : "fb3965f3-14cf-4963-aebd-f91dec314064", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Data analysis, Audience insights, Market insights, Campaign insights, Digital media", "professionalSkills" : [ "People leadership", "Strategic thinking", "Team management", "Client-facing storytelling", "Cross-functional collaboration", "Subject matter expert", "Business objectives", "Decision-making", "Product innovation", "Market feedback", "Strategic initiatives", "Product enhancements", "Platform releases", "Business development", "Analytics", "Advertising technology", "Audience insights", "Digital media" ], "hardSkillsList" : [ "Data translation", "Insight generation", "Strategic recommendations", "Client narratives", "Proactive analysis", "RFP contribution" ], "softSkillsList" : [ "Leadership", "Continuous learning" ], "hardSkills" : [ { "name" : "Data translation", "level" : "intermediate" }, { "name" : "Insight generation", "level" : "intermediate" }, { "name" : "Strategic recommendations", "level" : "intermediate" }, { "name" : "Client narratives", "level" : "intermediate" }, { "name" : "Proactive analysis", "level" : "intermediate" }, { "name" : "RFP contribution", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Continuous learning" } ], "majorSkills" : "Audience insights, Market insights, Campaign insights, Data translation, Client narratives", "majorSkillsList" : [ "Audience insights", "Market insights", "Campaign insights", "Data translation", "Client narratives" ], "coreResponsibilities" : "Lead Discovery Analysts team, Develop Discovery Analysts team, Mentor Discovery Analysts team, Ensure high-quality execution, Ensure team performance, Manage team workload, Manage resource allocation, Prioritize projects, Foster accountability culture, Foster collaboration culture, Foster continuous learning culture, Create insight-driven reports, Deliver insight-driven reports, Create strategic recommendations, Deliver strategic recommendations, Translate complex data, Create client narratives, Deliver client narratives, Partner with Sales teams, Partner with Client Services teams, Support client strategy, Support campaign planning, Support business growth initiatives, Participate in client meetings, Participate in client presentations, Communicate insights, Communicate recommendations, Communicate market trends, Drive proactive analyses, Uncover opportunities, Solve business challenges, Support marketing strategies, Support sales strategies, Collaborate with Product teams, Collaborate with Engineering teams, Support strategic initiatives, Support product enhancements, Support platform releases, Participate in RFP processes, Participate in business development processes, Contribute strategic insights, Contribute Discovery-based recommendations, Stay informed on industry trends", "teamCollaboration" : "Cross-functional teams; Sales teams; Client Services teams; Product teams; Engineering teams", "projectManagementSkills" : [ "Project prioritization", "Workload management", "Resource allocation" ], "domainKnowledge" : "Advertising technology; Audience insights; Digital media; Programmatic advertising; Data platforms; Advanced TV", "domainList" : [ "advertising-technology", "audience-insights", "digital-media", "programmatic-advertising", "data-platforms", "advanced-tv" ], "domainSpecificKnowledge" : [ "Advertising technology", "Audience insights", "Digital media", "Programmatic advertising", "Data platforms", "Advanced TV" ], "toolProficiency" : [ "Discovery platform" ], "communicationSkills" : "Client-facing storytelling; Client narratives; Client presentations; Market trends", "continuousLearning" : "Continuous learning culture", "innovationCreativity" : "Product innovation; Platform innovation", "problemSolvingSkills" : "Problem-solving skills; Actionable insights; Solve business challenges", "outcomesObjectives" : "Deliver strategic audience insights; Deliver market insights; Deliver campaign insights; Translate data into actionable recommendations; Support strategy; Support planning; Support digital media activation; Drive decision-making", "qualificationsBasic" : "5+ years analytics experience, 5+ years research experience, 5+ years marketing strategy experience, 5+ years audience insights experience, 2+ years people management experience, Analytical skills, Problem-solving skills, Ability to turn data into actionable insights, Excellent written communication skills, Excellent verbal communication skills, Excellent presentation communication skills, Proven ability to develop compelling client-facing narratives, Proven ability to develop compelling client-facing presentations, Experience working cross-functionally, Experience in a fast-paced environment, Experience in a collaborative environment, Interest in advertising technology, Interest in analytics, Interest in big data, Interest in digital media, Bachelor's degree or equivalent practical experience, Experience in programmatic advertising ecosystem, Background in research, Background in analytics, Background in agency strategy, Background in account management, Background in social media strategy teams, Experience with client-facing insight platforms, Experience with client-facing measurement platforms, Familiarity with audience targeting, Familiarity with campaign measurement, Familiarity with media strategy concepts", "qualificationsPreferred" : "Experience within the programmatic advertising ecosystem, Background in research, Background in analytics, Background in agency strategy, Background in account management, Background in social media strategy teams, Experience working with client-facing insight or measurement platforms, Familiarity with audience targeting, campaign measurement, and media strategy concepts", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Who is Nexxen? Flexible advertising, unified by data. Nexxen empowers advertisers, agencies, publishers and broadcasters around the world to utilize data and advanced TV in the ways that are most meaningful to them. Our flexible and unified technology stack comprises a demand-side platform (“DSP”) and supply-side platform (“SSP”), with the Nexxen Data Platform at its core. Why join the Nexxen team? With a global footprint, you can be part of a team that is transforming advertising through our creative, flexible and unified solutions. Employees hustle, commit and dedicate themselves to pillars that make up the Nexxen Way – the 3Cs - Customer Centric, Curious Mindset, Collaborative with No Ego. Important Notice from Nexxen: Your Safety Matters At Nexxen, we care about the well-being of our current and future employees. We are aware of the growing number of online scams and fraudulent job postings, and we urge all job seekers to remain vigilant. Please be advised that Nexxen will never request payment (whether in cash, cryptocurrency, or any other form) as a condition of employment, offer positions that require you to invest in vague or dubious financial schemes, or promote roles that resemble get-rich-quick opportunities. If you receive a suspicious message claiming to be from Nexxen or encounter a questionable job posting associated with our name, please contact us at infosec@nexxen.com to verify its legitimacy. Your trust is important to us. Stay safe and informed. Nexxen Fraud Alert and Notice: Protect Yourself from Impersonation and Fraudulent Activity https://nexxen.com/nexxen-fraud-alert-and-notice/ The Manager, Discovery, will lead a team of Discovery Analysts responsible for delivering strategic audience, market, and campaign insights through Nexxen’s proprietary insights platform, Discovery. This role plays a key part in helping clients and internal stakeholders translate data into actionable business recommendations that support strategy, planning, and digital media activation. The ideal candidate is both a strong people leader and strategic thinker who can balance team management, client-facing storytelling, and cross-functional collaboration. This person will serve as a subject matter expert on Discovery capabilities, partner closely with Sales and Client Services teams, and engage directly with clients to understand business objectives and deliver meaningful insights that drive decision-making. In addition, the Manager will help shape the evolution of the Discovery platform by partnering with Product and Engineering teams to provide market feedback and support ongoing product innovation. Job Responsibilities: - Lead, develop, and mentor a team of Discovery Analysts, ensuring high-quality execution and strong team performance - Manage team workload, resource allocation, and project prioritization across multiple concurrent initiatives - Foster a culture of accountability, collaboration, and continuous learning within the team - Create and deliver insight-driven reports, presentations, and strategic recommendations for Nexxen’s clients - Translate complex data into clear, compelling, and consultative client narratives - Partner closely with Sales, Client Services, and other cross-functional teams to support client strategy, campaign planning, and business growth initiatives - Participate in client meetings and presentations to communicate insights, recommendations, and market trends - Drive proactive analyses that uncover opportunities, solve business challenges, and support marketing and sales strategies - Collaborate with Product and Engineering teams to support strategic initiatives, product enhancements, and platform releases - Participate in RFP and business development processes by contributing strategic insights and Discovery-based recommendations - Stay informed on industry trends across analytics, advertising technology, audience insights, and digital media Qualifications: - 5+ years of experience in analytics, research, marketing strategy, audience insights, or a related field - 2+ years of people management experience - Strong analytical and problem-solving skills with the ability to turn data into actionable insights - Excellent written, verbal, and presentation communication skills - Proven ability to develop compelling, client-facing narratives and presentations - Experience working cross-functionally in a fast-paced, collaborative environment - Interest in advertising technology, analytics, big data, and digital media - Bachelor’s degree or equivalent practical experience - Experience within the programmatic advertising ecosystem - Background in research, analytics, agency strategy, account management, or social media strategy teams - Experience working with client-facing insight or measurement platforms - Familiarity with audience targeting, campaign measurement, and media strategy concepts At Nexxen, we value our differences, varied experiences, and collective contributions. We know that not everyone takes the same career path, so if you don’t match this job description perfectly, don’t worry! We would rather see your application than risk missing out on your potential to make an impact. We offer a variety of benefits including medical, dental, vision, disability insurance, 401(k), EAP, parental leave, unlimited vacation, and company-paid holidays. The specific programs and options available will vary depending on the state, start date, and employment type. Our Talent Acquisition team will be happy to answer any questions you may have. In support of pay transparency and equity, the minimum and maximum full-time annual base salary for this role is $110,000 - $135,000 at the time of posting. While this is our reasonable expectation this is not a guarantee of compensation or salary, actual compensation is influenced by a wide range of factors including but not limited to skill set, level of experience, education, certifications, responsibility, and geographic location. Candidates hired to work in other locations will be subject to the pay range associated with that location. We offer a variety of benefits, including medical, dental, vision, disability insurance, 401(k), EAP, parental leave, unlimited vacation, and company-paid holidays. The specific programs and options available will vary depending on the state, start date, and employment type. Our Talent Acquisition team will be happy to answer any questions you may have. #LI-LG1 #HYBRID For information about how we handle your personal information please view our Applicant and Candidate Privacy Notice https://nexxen.com/applicant-and-candidate-privacy-notice/", "summaryDescription" : "Manager, Discovery at Nexxen. Skills: Audience insights, Market insights, Campaign insights, Data translation, Client narratives. Lead Discovery Analysts team. 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Enhance cell cycle life; Reduce cell cost; Ensure cell safety and reliability", "qualificationsBasic" : "Bachelor's degree in engineering, 5+ years of experience in battery cell engineering, Experience with battery cell design, Experience with battery cell testing, Experience with battery cell manufacturing", "qualificationsPreferred" : "Master's degree or PhD in a relevant field, Experience with lithium-ion battery chemistries, Experience with solid-state battery technologies, Experience with battery modeling and simulation software", "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 Form Energy is hiring a Battery Engineer to join our Cell Package Integration team. As a Battery Engineer on our team, you will design and execute experiments that connect component-level changes to cell-level outcomes, investigate root causes of performance variation, and work closely with electrode, electrolyte, and manufacturing teams to identify and integrate cell improvements across cost, performance, and lifetime. This is a practical technical role for someone with solid electrochemical knowledge and a collaborative approach to cross-functional problem-solving. You'll be joining a team building something that has never been built before, with a clear shot at reshaping how the world stores energy with our breakthrough technology. The level of this position is flexible upwards based on experience. Relocation assistance is available. WHAT YOU'LL DO: - Design, execute, and analyze cell-level experiments to characterize electrochemical performance, qualify cell package designs, and identify limiting factors or failure modes - Champion safety as you carry out electrochemical testing in benchtop and lab-scale test vehicles in collaboration with the test execution team - Investigate performance failures and degradation modes using root cause analysis methods, translating findings into corrective actions and design improvements - Lead continuous improvement in our battery testing program — standardizing protocols and ensuring test procedures reflect the product-relevant operational space - Conduct durability and entitlement testing on prototype cell packages to develop data-backed design specifications and inform DFMEAs - Partner with electrode, electrolyte, and manufacturing teams to identify improvement opportunities, coordinate cell builds, and close performance gaps across cost, performance, and lifetime WHAT YOU'LL BRING: - Bachelor or Master’s degree in Chemical Engineering, Chemistry, Electrochemistry, Materials Science, or a related field with 4+ years of relevant industry or research experience OR PhD with relevant industry or research experience - Hands-on practical experience with electrochemical systems and electrochemical device data interpretation, particularly in deployed or market-ready products - Expertise with failure prediction and investigation methods, such as Root Cause Analysis and Failure Modes and Effects Analysis - Excellent communication and organizational skills, including working with teams in different locations on shared objectives - Statistical experimental design, such as fractional factorial designs, and linear regression analysis #LI-Onsite #LI-LN1 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" : "Senior Battery Engineer, Cell Performance at Form Energy. Skills: Battery cell engineering, Cell performance, Cell testing. Design battery cells. 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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 Form Energy is hiring a Battery Engineer to join our Cell Package Integration team. As a Battery Engineer on our team, you will design and execute experiments that connect component-level changes to cell-level outcomes, investigate root causes of performance variation, and work closely with electrode, electrolyte, and manufacturing teams to identify and integrate cell improvements across cost, performance, and lifetime. This is a practical technical role for someone with solid electrochemical knowledge and a collaborative approach to cross-functional problem-solving. You'll be joining a team building something that has never been built before, with a clear shot at reshaping how the world stores energy with our breakthrough technology. The level of this position is flexible upwards based on experience. Relocation assistance is available. WHAT YOU'LL DO: - Design, execute, and analyze cell-level experiments to characterize electrochemical performance, qualify cell package designs, and identify limiting factors or failure modes - Champion safety as you carry out electrochemical testing in benchtop and lab-scale test vehicles in collaboration with the test execution team - Investigate performance failures and degradation modes using root cause analysis methods, translating findings into corrective actions and design improvements - Lead continuous improvement in our battery testing program — standardizing protocols and ensuring test procedures reflect the product-relevant operational space - Conduct durability and entitlement testing on prototype cell packages to develop data-backed design specifications and inform DFMEAs - Partner with electrode, electrolyte, and manufacturing teams to identify improvement opportunities, coordinate cell builds, and close performance gaps across cost, performance, and lifetime WHAT YOU'LL BRING: - Bachelor or Master’s degree in Chemical Engineering, Chemistry, Electrochemistry, Materials Science, or a related field with 4+ years of relevant industry or research experience OR PhD with relevant industry or research experience - Hands-on practical experience with electrochemical systems and electrochemical device data interpretation, particularly in deployed or market-ready products - Expertise with failure prediction and investigation methods, such as Root Cause Analysis and Failure Modes and Effects Analysis - Excellent communication and organizational skills, including working with teams in different locations on shared objectives - Statistical experimental design, such as fractional factorial designs, and linear regression analysis #LI-Onsite #LI-LN1 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. 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Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our Data Science & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a Data Science team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more Data Science team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The Data Science & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central Data Science & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 1+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Associate Data Scientist at Jerry.ai. Skills: Data Science, Analytics. Define metrics. 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Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our Data Science & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a Data Science team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more Data Science team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The Data Science & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central Data Science & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 1+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Associate Data Scientist at Jerry.ai. Skills: Data Science, Analytics. Define the right problems. 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Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our Data Science & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a Data Science team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more Data Science team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The Data Science & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central Data Science & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 1+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. 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Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our Data Science & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a Data Science team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more Data Science team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The Data Science & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central Data Science & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 1+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Associate Data Scientist at Jerry.ai. Skills: Data Science, Analytics. Define the right problems. Define metrics", "createdAt" : "2026-06-16T00:25:26.525", "lastUpdated" : "2026-06-16T12:12:35.130", "ingestTimestamp" : "2026-06-16T00:25:26.525", "mongoId" : "6a305098f292fd229cef28f2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 130000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data interpretation", "Data Science", "Analytics", "Analytical ability", "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30985ff292fd229c0e4385", "title" : "Senior Data Scientist", "company" : "DoorDash", "industry" : "Logistics", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Data Scientist in Melbourne, Australia, adjusted for seniority and technology industry." }, "location" : "Melbourne", "locations" : [ "Melbourne" ], "timestamp" : "2026-06-16T12:39:56.606", "fingerprint" : "6809a563b97e20bb66559ca9e59dbd18fb5566691575a5cf19e403d703de29eb", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/doordashaustralia/jobs/7993751", "externalId" : "7993751", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Melbourne", "state" : "Victoria", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "hybrid", "geo" : "-37.8142454,144.9631732" }, { "country" : "New Zealand", "continent" : "oc", "workMode" : "onsite" }, { "country" : "United States", "continent" : "na", "workMode" : "onsite" }, { "country" : "United Kingdom", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Melbourne, Victoria, Australia; New Zealand; United States; United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R", "professionalSkills" : [ "Quantitative analysis", "Thought partner", "Stakeholder management", "Business decisions" ], "hardSkillsList" : [ "Statistical techniques", "Hypothesis testing", "Experimentation techniques" ], "hardSkills" : [ { "name" : "Statistical techniques", "level" : "intermediate" }, { "name" : "Hypothesis testing", "level" : "intermediate" }, { "name" : "Experimentation techniques", "level" : "intermediate" } ], "majorSkills" : "Data Science, Analytics, Business Intelligence", "majorSkillsList" : [ "Data Science", "Analytics", "Business Intelligence" ], "coreResponsibilities" : "Provide insights to understand marketplace dynamics, Provide insights to understand user behaviours, Provide insights to understand long-term trends, Use quantitative analysis, Present data, Build full-cycle analytics experiments, Build reports, Build dashboards, Identify levers to move metrics, Measure levers to move metrics, Make recommendations, Understand and size problems, Ideate solutions, Produce recommendations, Use statistical techniques, Use hypothesis testing, Use experimentation techniques, Validate findings", "teamCollaboration" : "Strategy & Operations teams; Executive Leadership Team; Cross-functional team; Strategy, operations, product, finance and engineering", "projectManagementSkills" : [ "Strategic projects" ], "domainKnowledge" : "Three-sided marketplace; Marketplace dynamics; User behaviours; Long-term trends", "domainList" : [ "three-sided-marketplace", "marketplace-dynamics", "user-behaviours", "long-term-trends" ], "domainSpecificKnowledge" : [ "Three-sided marketplace", "Marketplace dynamics", "User behaviours", "Long-term trends" ], "problemSolvingSkills" : "Ambiguous problems; Structured problem solving; Hypothesis-driven problem solving; Data-supported problem solving", "outcomesObjectives" : "Drive growth; Drive operational excellence", "qualificationsBasic" : "6+ years of experience, Degree in Math, Physics, Statistics, Economics, Computer Science, or similar, Very experienced with SQL queries, Basic ETL, Regression techniques, Proficiency in Python or R, Experience with experimentation techniques, Experience with A/B testing, Experience with Causal Inference, Experience interpreting hypothesis testing", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About the Team DoorDash is a complex and constantly evolving business; The global BizOps team is primarily responsible for crafting the story about business performance (what’s happening, why is it happening, what we should do about it), diving deep on key KPI trends, and surfacing insights and recommendations to stakeholders to ensure we understand our current business climate and react in a data-informed manner. About the Role You will be a key BizOps partner, working closely with the Strategy & Operations team and the ANZ Executive Leadership Team to turn data into actionable insights—understanding what is happening, why it is happening, and what actions should be taken next. You will focus on the ANZ markets, helping to drive strategic initiatives across the region. You will adapt and apply best practices from the US business to local market dynamics while providing data-driven recommendations that inform business decisions. DoorDash operates a three-sided marketplace comprising Consumers, Merchants, and Dashers. In this role, you will work across all three groups to identify opportunities, solve complex business challenges, and drive growth and operational excellence. This is a hybrid role, with 3 days in-office and 2 days remote. You're excited about this opportunity because you will… Be a first-class thought partner to our Strategy & Operations and Executive teams and help them make decisions on what’s next for DoorDash Provide insights to enable our cross-functional team to understand marketplace dynamics, user behaviours, and long-term trends Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business Build full-cycle analytics experiments, reports, and dashboards using SQL, Python, R, or other scripting and statistical tools Identify and measure levers to help move essential metrics and make recommendations Work backwards from understanding and sizing problems to ideating solutions Produce recommendations and use statistical techniques and hypothesis testing and other experimentation techniques to validate your findings. We're excited about you because you have… 6+ years of experience in data analytics, consulting, or related quantitative roles and a degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain. The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way Experience leading /owning strategic projects to completion with multiple cross-functional teams Excellent stakeholder management skills, know how to effectively collaborate well with strategy, operations, product, finance and engineering while prioritising competing needs Very experienced with SQL queries, Basic ETL, Regression techniques Proficiency in at least one programming language, preferably Python or R Experience working with experimentation techniques (A/B testing, Causal Inference) and interpreting hypothesis testing About DoorDash At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods. DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. If you need any accommodations, please inform your recruiting contact upon initial connection.", "summaryDescription" : "Senior Data Scientist at DoorDash. Skills: Data Science, Analytics, Business Intelligence. Provide insights to understand marketplace dynamics. Provide insights to understand user behaviours", "postedDate" : "2026-06-16T03:16:34.088", "createdAt" : "2026-06-16T03:16:34.088", "lastUpdated" : "2026-06-16T12:39:56.606", "ingestTimestamp" : "2026-06-16T03:16:34.088", "mongoId" : "6a30985ff292fd229c0e4385", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Statistical techniques", "Hypothesis testing", "Experimentation techniques", "Data Science", "Analytics", "Business Intelligence", "Quantitative analysis", "Thought partner", "Stakeholder management", "Business decisions", "Strategic projects", "Three-sided marketplace", "Marketplace dynamics", "User behaviours", "Long-term trends" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a309ca0f292fd229c0fc5c1", "title" : "Senior Data Scientist", "company" : "Calm", "industry" : "Healthcare", "salary" : { "min" : 172200.0, "max" : 225000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Minneapolis, Minnesota, United States", "locations" : [ "Minneapolis", "Minnesota", "United States", "New York", "New York", "United States", "San Francisco", "California", "United States" ], "timestamp" : "2026-06-16T12:31:23.594", "fingerprint" : "8e42258bbeb896b5ee33056fc149a3e674aebb37be760468719151e4e7f2b5e9", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/calm/jobs/8593223002", "externalId" : "8593223002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Minneapolis", "state" : "Minnesota", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "44.9772995,-93.2654692" } ], "locationText" : "Minneapolis, Minnesota, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R", "professionalSkills" : [ "Business intuition", "Decision-making", "Relationship management", "Presentation skills" ], "hardSkillsList" : [ "Data manipulation", "Experiment design", "Experiment analysis", "Experiment interpretation", "Statistical rigor" ], "softSkillsList" : [ "Pragmatic", "Impact-oriented" ], "hardSkills" : [ { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Experiment design", "level" : "intermediate" }, { "name" : "Experiment analysis", "level" : "intermediate" }, { "name" : "Experiment interpretation", "level" : "intermediate" }, { "name" : "Statistical rigor", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Pragmatic" }, { "name" : "Impact-oriented" } ], "majorSkills" : "Data Science, Experimentation, Analytics", "majorSkillsList" : [ "Data Science", "Experimentation", "Analytics" ], "coreResponsibilities" : "Leverage consumer data, Prioritize product investments, Prioritize growth investments, Identify acquisition opportunities, Identify conversion opportunities, Identify engagement opportunities, Identify retention opportunities, Identify subscriber growth opportunities, Automate analyses, Automate data products, Partner with product teams, Perform deep-dive analysis, Understand user engagement behavior, Design experiments, Implement experiments, Analyze experiments, Measure impact of new features, Bridge gap between data and action, Inform key decision-makers, Build internal data products, Drive team success", "teamCollaboration" : "Collaborate with stakeholders; Partner with product teams; Collaborate with technical teams; Collaborate with non-technical teams; Develop cross-functional partnerships", "domainKnowledge" : "Consumer mental health; Subscription businesses; Digital consumer products", "domainList" : [ "consumer-mental-health", "subscription-businesses", "digital-consumer-products" ], "domainSpecificKnowledge" : [ "Consumer mental health", "Subscription businesses", "Digital consumer products" ], "toolProficiency" : [ "Amplitude", "Tableau", "Mode" ], "communicationSkills" : "Communicate trends; Translate business requirements; Translate technical solutions", "problemSolvingSkills" : "Ambiguous business questions; Practical decision-making", "qualificationsBasic" : "Proficiency in SQL, Comfort manipulating data with Python or R, BAS in quantitative field, Experience designing experiments, Experience analyzing experiments, Experience interpreting experiments, Translate business requirements to technical solutions, Translate technical solutions to business outcomes, 5 years of data science experience", "qualificationsPreferred" : "Experience with digital consumer products, Experience with subscription businesses, Experience supporting product analytics, Experience supporting experimentation, Experience supporting user acquisition, Experience supporting lifecycle marketing, Experience supporting retention, Experience with causal inference, Experience with incrementality testing, Experience with attribution, Experience with marketing measurement, Experience with product analytics tools, Experience with BI tools, Experience building scalable analyses, Experience building scalable reporting, Experience building scalable measurement frameworks", "remoteFriendly" : false, "rawDescription" : "About Calm Calm is a leading consumer mental health company on a mission to support everyone on every step of their mental health journey. Known for its flagship consumer app—ranked #1 in its category with over 180 million downloads and availability in seven languages across 190 countries—Calm helps people sleep better, stress less, and live more mindfully through content and tools from experts and beloved celebrity voices. Building on this foundation, Calm has created a broader portfolio including evidence-based solutions like Calm Health, offered through employers, health plans and providers, designed to expand access to mental health and sleep support, boost benefits engagement, and drive positive health outcomes. Today, Calm supports more than 3,500 organizations and reaches over 42 million covered lives through Calm Health. Calm has been recognized as a TIME100 Most Influential Company and one of Fast Company’s Brands That Matter. Learn more at calm.com. What We Do We are a team of insights specialists that focus on finding insights relevant to driving business outcomes across the Calm organization. For us, the business problem comes first (what are we trying to solve?) and the analysis follows (how do we best solve this problem?). Sometimes the solution is straightforward and sometimes it is highly complex, but in all cases we rely on data to drive our solutions. What You’ll Do As a Senior Data Scientist you will leverage Calm’s consumer data to help prioritize product and growth investments, identify opportunities to improve acquisition, conversion, engagement, retention, and subscriber growth, and automate analyses and data products for key decision-makers. In this role, you will partner across product and growth marketing to turn ambiguous business questions into clear analyses, experimentation plans, and actionable recommendations. You will use data to understand user behavior, measure the impact of product and marketing initiatives, and help teams make better decisions faster. This position is ideal for candidates who enjoy diving into new domains, building business intuition, and balancing statistical rigor with practical decision-making. You Will: Collaborate with stakeholders across product and growth marketing to analyze and communicate how trends in key metrics affect business performance Partner with product teams to perform deep-dive analysis to understand user engagement behavior Design, implement and analyze experiments to measure the impact of new features on core product metrics Collaborate with partners across technical and non-technical teams to bridge the gap between data and action Help key-decision makers stay informed about the state of the business through internal data products built in tools like Amplitude, Tableau and Mode Develop strong cross-functional partnerships across Calm to drive our team's success Who You Are Strong proficiency in SQL Comfortable manipulating data with Python or R BA/BS in quantitative field such as Statistics, Mathematics, Economics, Computer Science, Engineering, or a related discipline Experience with designing, analyzing, and interpreting experiments Ability to translate non-technical business requirements into technical solutions, and translate technical solutions into business outcomes Strong relationship management and presentation skills Pragmatic and impact-oriented, with the ability to balance scrappiness and rigor Nice to Haves Experience working on digital consumer products or subscription businesses Experience supporting product analytics, experimentation, user acquisition, lifecycle marketing, or retention Experience with causal inference, incrementality testing, attribution, or marketing measurement Experience working with product analytics and BI tools such as Amplitude, Tableau, and Mode Experience building scalable analyses, reporting, or measurement frameworks that enable self-service decision-making Minimum Requirements 5 years of data science experience Calm uses a geographic pay model that determines salaries based on the location where an employee lives. For this position, the base pay range across Calm’s pay tiers is as follows: $172,200 - $225,000. The base pay range represents the low and high end of Calm’s salary range for this position. Not all candidates will be eligible for the upper end of the salary range. Exact salary will ultimately depend on multiple factors, which include the successful candidate's geographic location, skills, experience and other qualifications. Calm uses employee zip code to determine which pay range applies. This role is also eligible for equity + comprehensive benefits + 401k + flexible time off. Calm may incorporate artificial intelligence technology to support the application review process, but rest assured that human reviewers are involved in all stages of the hiring process. Calm is committed to providing reasonable accommodations for qualified individuals with disabilities, including disabled veterans. If you require a reasonable accommodation to complete any part of the application or interview process, please contact Calm’s Recruiting team at recruitingaccommodations@calm.com. All accommodation requests will be handled confidentially and assessed on a case-by-case basis. We believe that mental health is health, and every person should be considered in the discussion. That’s why we’re proud to be an equal opportunity workplace, committed to providing equal employment opportunities to all applicants and employees regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law. Calm is deeply committed to diversity, equity and inclusion. We strive to create a mindful and respectful environment where everyone can bring their authentic self to work, and experience a culture that is free of harassment, racism, and discrimination. Employment offers are contingent upon the successful completion of a background check. Roles which require access to certain types of information may also require the successful completion of a drug screening. FOR US BASED POSITIONS: Calm participates in e-verify. E-verify provides the federal government with your Form I-9 information to confirm that you are authorized to work in the U. S. Right to Work E-Verify Participation", "summaryDescription" : "Senior Data Scientist at Calm. Skills: Data Science, Experimentation, Analytics. Leverage consumer data. Prioritize product investments", "postedDate" : "2026-06-16T03:17:27.031", "createdAt" : "2026-06-16T03:17:27.031", "lastUpdated" : "2026-06-16T12:31:23.594", "ingestTimestamp" : "2026-06-16T03:17:27.031", "mongoId" : "6a309ca0f292fd229c0fc5c1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 172200, "salaryAnnualMax" : 225000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data manipulation", "Experiment design", "Experiment analysis", "Experiment interpretation", "Statistical rigor", "Pragmatic", "Impact-oriented", "Data Science", "Experimentation", "Analytics", "Business intuition", "Decision-making", "Relationship management", "Presentation skills", "Consumer mental health", "Subscription businesses", "Digital consumer products", "Amplitude", "Tableau", "Mode" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3086bdf292fd229c082edc", "title" : "Senior Data Scientist", "company" : "Teads", "industry" : "Media", "salary" : { "min" : 55000.0, "max" : 80000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Scientist in Ljubljana, Slovenia, adjusted for the technology industry and senior experience level." }, "location" : "Ljubljana", "locations" : [ "Ljubljana", "Paris" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T11:23:18.386", "fingerprint" : "47ef5bfcbc5879be9dd3f1884ea823b705391473c3b0818f7055713fcee9e7a4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/teads1/jobs/4898147101", "externalId" : "4898147101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Ljubljana", "country" : "Slovenia", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "46.0500268,14.5069289" } ], "locationText" : "Ljubljana, Slovenia", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Scala, TypeScript, Python, SQL, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, SageMaker, GCP, Vertex AI, Azure, ML Studio", "professionalSkills" : [ "Predictive modeling", "Online learning", "High-dimensional embeddings", "Scientific methodology", "Model implementation" ], "hardSkillsList" : [ "CTR prediction", "Online learning regimes", "High-dimensional embeddings", "Model implementation" ], "softSkillsList" : [ "Critical thinking" ], "hardSkills" : [ { "name" : "CTR prediction", "level" : "intermediate" }, { "name" : "Online learning regimes", "level" : "intermediate" }, { "name" : "High-dimensional embeddings", "level" : "intermediate" }, { "name" : "Model implementation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical thinking" } ], "majorSkills" : "Data Science, Machine Learning, AI, AdTech research", "majorSkillsList" : [ "Data Science", "Machine Learning", "AI", "AdTech research" ], "coreResponsibilities" : "Innovate at scale, Stay at forefront of AdTech research, Focus on CTR prediction, Focus on online learning regimes, Focus on high-dimensional embeddings, Design models, Understand model fit into code stack, Dismantle scientific paper, Critique methodology, Implement core findings, Explain transformer-based ranking system", "teamCollaboration" : "Applied research team; AI department; Product teams", "domainKnowledge" : "AdTech; Online advertising; Campaign outcomes; Prediction systems; Control systems; Online trained models", "domainList" : [ "adtech", "online-advertising", "campaign-outcomes", "prediction-systems", "control-systems", "online-trained-models" ], "domainSpecificKnowledge" : [ "AdTech", "Online advertising", "Campaign outcomes", "Prediction systems", "Control systems", "Online trained models" ], "toolProficiency" : [ "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "communicationSkills" : "Explain complex concepts", "continuousLearning" : "In-house training; External training; Internal mobility", "innovationCreativity" : "Innovate at Scale", "problemSolvingSkills" : "Critical Thinking; Critique methodology; Implement core findings", "qualificationsBasic" : "5+ years experience, SQL proficiency, Bachelor's degree", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified, Dbt Certified", "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Teads Teads is a leading omnichannel advertising platform focused on driving outcomes for brand and performance advertisers across screens. With a focus on meaningful business outcomes for branding and performance objectives, Teads drives value by leveraging predictive AI technology to connect quality media, beautiful brand creative, and context-driven addressability and measurement. Teads is directly partnered with more than 10,000 publishers and 20,000 advertisers globally. The company is headquartered in New York, New York with a global team of around 1,700 people in 30+ countries. For more information, visit www.teads.com. Our main Engineering challenges at Teads Build efficient and easy-to-use web products used by thousands of users working for the world’s most premium publishers, advertisers, and agencies. Rich and diverse tech stack and system architecture to optimize for performance, scalability, resiliency, and cost efficiency. We use mostly Scala and TypeScript, among others. Working in a very high-traffic environment (2.2 billion users per month, 100 billion events per day) with low latency and high availability constraints (2 million requests per second, responses in less than 150 milliseconds). Management of large datasets with milliseconds order of magnitude access time, to compute in a near real-time complex auction resolution algorithm (18 million predictions per second). A fast-changing environment where we continuously collaborate with Product teams and constantly adapt our Cloud infrastructure for new features and Products. Bring a wide diversity of profiles to the same level of quality and knowledge Work in an international environment with offices located in Israel, Slovenia and France. About the opportunity We are looking for a Senior Data Scientist to join a team of applied research. The AI department currently consists of 50 people who are a mix of data scientists, machine learning and backend engineers. The department provides technologies that power outcomes of campaigns with a total yearly turn over of $1.7B. Runs large scale prediction and control systems for ad delivery, dealing with millions of live ads, doing more than a billion predictions per second based on large on-line trained models being updated every 5 minutes. What will you do? As a Data Scientist, your mission will be to: Innovate at Scale: Stay at the forefront of AdTech research, focusing on CTR prediction, online learning regimes, and high-dimensional embeddings. Bridge Research you don’t just design models, you understand how they fit into the code stack. Critical Thinking: The ability to dismantle a scientific paper, critique its methodology, and implement its core findings effectively. Communication: A knack for making the complex simple. You can explain a transformer-based ranking system to a peer or a product manager with equal clarity. Please submit your CV in English. We care about you Career Development: Continuous investment in our employees’ skills: in-house and external training, internal mobility … Life Balance: A well-balanced work-life for our employees is one of our top priorities: 22 days off per year, hybrid work (3 days per week in the office) Wellness: Prioritizing employee well-being through premium work equipment, enjoyable work environment (work-life balance, team building events, summits), remote work subsidy, promoting Diversity & Inclusion with internal & external initiatives, etc. #LI-Hybrid Life at Teads At Teads, we don’t just offer new roles - we blend creativity, technology, and data to shape the future of media. You’ll work with smart humans, meaningful brands, and cool tools, all while helping redefine how advertising works in a world that demands more transparency, better insights, and smarter strategies. As a Teadster, you’ll play a critical role in shaping our future success in the region. Here’s why Teads stands out: We've merged two open internet category leaders—Outbrain and Teads—to create the ‘new’ Teads, a unified omnichannel platform that drives results from branding to performance across all screens, including CTV, mobile, and web. As part of our team, you’ll thrive in a collaborative and forward-thinking environment that fosters innovation, creative problem-solving, and continuous learning. Teads is committed to your success, offering the support, tools, and development opportunities you need to excel in your role. Our company culture is welcoming, dynamic, diverse, global, and built on top performance. Teads is an equal employment opportunity employer and committed to diversity and inclusion at all stages of recruitment and employment. Our team is made up of individuals who are approachable, resourceful, passionate, and proactive. We foster a sense of belonging through our Employee Resource Groups – employee-led groups in which we debate topics and drive change: environmental, women empowerment, charitable initiatives to diversity, equity, and inclusion, you’ll be able to share your passions with likeminded people.", "summaryDescription" : "Senior Data Scientist at Teads. Skills: Data Science, Machine Learning, AI, AdTech research. Innovate at scale. 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Responsibilities include planning and implementing care, documenting assessments, identifying situations requiring intervention, and developing goal-directed care plans while safeguarding patient rights. The role aligns with Tampa General Hospital’s mission, vision, values, and quality improvement principles. As a Cell Therapy Specialist (RN), serves as an expert clinical resource, coordinates care across the continuum, and collaborates with transplant, oncology, apheresis, laboratory, infusion, and research teams. Contributes to protocol development, safety standards, and patient education initiatives to ensure optimal outcomes. Requires an Active RN license issued by Florida or a Compact State Blood & Marrow Transplant Certified Nurse (BMTCN) within 1 year of hire OR Transplantation and Cellular Therapy Certified Nurse (TCTCN) within 1 year of hire Oncology Nursing Society Chemotherapy (ONS) certification within first 90 days of hire Basic Life Support (BLS) certification Advanced Cardiovascular Life Support (ACLS) certification 3–5 years of direct clinical experience in oncology, bone marrow transplant, cellular therapy, hematology, or related specialty OR an equivalent combination of education, training, and experience Tampa", "summaryDescription" : "Cell Therapy Specialist RN - Bone Marrow Transplant at Tampa General Hospital. Skills: Cell Therapy, Bone Marrow Transplant, Oncology Nursing. Provide comprehensive nursing care. 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Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our Data Science & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a Data Science team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more Data Science team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The Data Science & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central Data Science & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 4+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. 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Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our Data Science & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a Data Science team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more Data Science team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The Data Science & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central Data Science & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 4+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Data Scientist at Jerry.ai. Define the right problems. Understand business questions", "createdAt" : "2026-06-16T00:31:50.323", "lastUpdated" : "2026-06-16T12:30:15.364", "ingestTimestamp" : "2026-06-16T00:31:50.323", "mongoId" : "6a305930f292fd229cf45a37", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 170000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Experiment design", "Metric definition", "First principles thinker", "Direct communicator", "Owner", "First principles thinking", "Analytical ability", "Problem solving", "Clickhouse", "Metabase" ], "skillCount" : 11, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305985f292fd229cf487d2", "title" : "Senior Data Scientist", "company" : "Semgrep", "industry" : "Engineering Org", "salary" : { "min" : 185000.0, "max" : 265000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Data Scientist in San Francisco, United States, adjusted for seniority and industry." }, "location" : "San Francisco Office", "locations" : [ "San Francisco Office" ], "timestamp" : "2026-06-16T08:46:42.913", "fingerprint" : "f1b216284f2ac8de1bde9054abef50d37003415382669286d3e1726729d21448", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/semgrep/140c5384-c4fd-4d63-b810-b6afe9567c99/application", "externalId" : "140c5384-c4fd-4d63-b810-b6afe9567c99", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, SQL, S3, FiveTran, DBT, Snowflake, Metabase, Retool, Sagemaker, Jupyter Notebook, Machine learning algorithms, Optimization methods, Symbolic artificial-intelligence, Statistical methods", "professionalSkills" : [ "Data science approaches", "Iterative development", "Data visualization" ], "hardSkillsList" : [ "Data science", "Statistical analysis", "Multivariate regression", "Active-learning techniques" ], "hardSkills" : [ { "name" : "Data science", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Multivariate regression", "level" : "intermediate" }, { "name" : "Active-learning techniques", "level" : "intermediate" } ], "majorSkills" : "Data science, Machine learning, Data pipelines", "majorSkillsList" : [ "Data science", "Machine learning", "Data pipelines" ], "coreResponsibilities" : "Contribute to data science projects, Discover data problems, Identify critical areas to focus efforts, Build dashboards to track metrics, Apply multivariate regression, Apply active-learning techniques, Guide data collection and labeling, Tackle problems as experiments, Prove work value with proof-of-concept, Convince peers of conclusions, Grow team through recruitment, Hire top data talent", "teamCollaboration" : "Full-stack engineers; Backend engineers; Infrastructure engineers; Security researchers; Program-analysis developers", "domainKnowledge" : "Code security; Application security testing", "domainList" : [ "code-security", "application-security-testing" ], "domainSpecificKnowledge" : [ "Code security", "Application security testing" ], "toolProficiency" : [ "S3", "FiveTran", "DBT", "Snowflake", "Metabase", "Retool", "Sagemaker", "Jupyter Notebook" ], "communicationSkills" : "Data visualization; Clear explanation", "problemSolvingSkills" : "Data-driven decision making", "qualificationsBasic" : "4+ years of experience in data and strategy fields, SQL proficiency, 5+ years Python", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT SEMGREP Semgrep, the leader in code security for builders, empowers invention without friction. Teams catch, flag, and fix real issues before they ship, powered by security that learns as they build. Semgrep secures code as it’s written and provides guardrails that pave the road for developers to move fast and stay secure. Built for builders and trusted by security, Semgrep lives where developers work, delivering fixes without breaking flow, and giving security teams visibility, control, and confidence. Semgrep gets smarter as you build, with AI that learns your context to cut false positives and prioritize reachable vulnerabilities, validated by 95% of security reviewers across 6M+ findings. Semgrep makes zero false positives a reality with AppSec teams triaging 80% fewer false positives across Code and Supply Chain, dramatically shrinking the backlog. Founded in San Francisco and backed by Menlo Ventures, Felicis Ventures, Lightspeed Venture Partners, Redpoint Ventures, and Sequoia Capital, Semgrep is recognized by Gartner in Application Security Testing and is trusted by leading organizations, including Vanta, Lyft, and Dropbox. Learn more at semgrep.dev http://semgrep.dev. ABOUT THE ROLE You will be an early member of Semgrep’s data team. Your mission will be to define how an entire company uses data, always striving to best improve our users’ security. You will work on a diverse set of problems, touching every aspect of the startup: extracting product insights from usage metrics, determining business strategy from market data, crafting production data pipelines, and defining where to direct our security research. This is a growth role: while you will start as an individual contributor, initially contributing to a quarter-long project while growing your technical skill set and domain knowledge to start taking on more responsibility and influencing data and business decisions within the company/ Along the way, you will work with a dedicated group of full-stack, backend, and infrastructure engineers, as well as security researchers and program-analysis developers. You will learn what it means to have “secure-by-default” code. You will meet and collaborate with security-industry scions. And, as a member of our team, you’ll be a part of the decisions that make a high-growth startup successful. Your work will be critical to our mission. Every feature you build will have a measurable impact on our users’ lives. We’re excited to see what you do. WHAT YOU'LL DO - Contribute to specific data science projects and initiatives at Semgrep; discovering each department’s most pressing data problems, and proactively identifying the most critical areas to focus your efforts - Bring your wide knowledge of data-science approaches to each problem you solve: the first day you might build a dashboard to track Board level metrics for the Engineering team, the second you might apply multivariate regression to identify important product features, the third you might apply active-learning techniques to guide data collection and labeling - Iteratively tackle problems as a series of experiments, proving the value of your work with proof-of-concept to ever more refined results - Convince your peers of your conclusions with clear data visualizations and well-reasoned explanation - Help grow your team through the recruitment and hiring of top data talent YOU ARE IDEAL FOR THIS ROLE IF YOU HAVE - 4+ years of experience in data and strategy fields - Knowledge of data-science approaches; this may include machine-learning algorithms, optimization methods or symbolic artificial-intelligence, but should also include statistical methods and “good-enough” heuristics — and the taste to know when to use each - Experience clearly visualizing information and experimental results across the full company stack: Board-level, leadership team, and individual team leads - Sufficient familiarity with production data-processing pipelines to construct them working together with generalist infrastructure engineers; tools we use include S3, FiveTran, DBT, Snowflake, Metabase, Retool, Sagemaker/JupyterNotebook (Python) - Aptitude delivering technical projects via rapid iterative development - Experience working on a small team in a fast-paced environment and are willing to experiment with different approaches before settling on the best and most elegant solution given time constraints - Excellent, proactive communication, both verbal and written SOME EXAMPLE PROJECTS THAT YOU MIGHT WORK ON INCLUDE - Build a client-facing dashboard showing scan time metrics over time to show how the product is improving - Work together with Product leadership to identify the correct north-star metrics to measure Product usage and what features to build next - Partner with the rule-writing team to identify the most impactful rules and languages to focus on in real-time - Build out cleaned/medallion Silver and Gold tables in our Data Lakehouse for internal engineering and product teams to self-serve their analytics needs - Build an S3 → Snowflake data pipeline and processing engine to improve Repo contributor count metrics for Billing team - Build a statistical model that analyzes pseudonymous usage data to recommend the next features built into the Semgrep open-source tool - Consume infrastructure observation metrics to identify and address potential Semgrep.dev http://Semgrep.dev registry outages before they occur - Recruit varied and disjoint data into a “North Star” metric for the performance of the Semgrep open-source tool over time - Craft a security-rule-recommendation decision tree, using codebase features like languages, frameworks, code sentiment, and commit-message sentiment, to deliver targeted, high-value static-analysis rules to users Location expectations: - Our expectation is that this role will be hybrid - requiring 3 days a week in our San Francisco office. COMPENSATION The estimated starting annual salary range for this position is $163,000 - $204,000 USD. The actual base salary will be determined based on a number of factors, which may include job-related skills, relevant experience, qualifications, location, internal equity, and market data. In addition to base salary, total compensation may include equity, variable compensation, and benefits. We view equity as a meaningful part of our compensation philosophy and a way for employees to share in the long-term value they help create. Compensation ranges are reviewed regularly and may be adjusted as the role, individual performance, or market conditions evolve. WHAT WE OFFER (FTE ONLY) Our goal is to competitively and fairly compensate every Semgrep employee with a system that equally rewards those who are vocal and those who are less comfortable making demands during the final steps of the hiring process. To that end, we generate internal compensation bands that are used when discussing and negotiating salaries. We update these based on market data to make sure they’re above the average for comparable roles. We invest in our employees’ well-being and long-term success through a competitive, market-aligned benefits program that meets or exceeds local market standards across all of the regions in which we hire. Benefits offerings vary by location to reflect local requirements and norms. For more detailed, location-specific information, please visit Semgrep Benefits https://www.notion.so/semgrep/Semgrep-Benefits-1593009241a88029bd7edf1fed1dfde2. WHO WE ARE We bring together people from a wide range of backgrounds and disciplines—from physics and philosophy to formal methods research and full-fledged corporations. We’re new parents and new grads, dog lovers and dogfooders. We get together often to bike, bake, and meet up in parks. In our interactions, we believe respect and honesty go hand in hand, and prioritize both. Semgrep is an equal-opportunity employer seeking a diverse range of backgrounds. We value who you are — including your cultural heritage, your socioeconomic status, your age, your race, your gender, your sexual orientation, your disabilities. We value what’s vitally important to you — your family, your religion, your politics. We value what you love in this world — your music, your weekend pursuits. We believe in welcoming varied professional backgrounds, educations, and interests. If you’re exceptional in your role, believe in Semgrep’s mission, and treat Semgrep’s values as your own, you belong here. Please Note: For US-based roles open to remote work, we are currently able to hire employees in the following states only: Arizona, California, Colorado, Connecticut, District of Columbia, Florida, Georgia, Illinois, Maryland, Massachusetts, Michigan, Missouri, Nebraska, New Jersey, New York, North Carolina, Oregon, Tennessee, Texas, Virginia, Washington, and Wisconsin.", "summaryDescription" : "Senior Data Scientist at Semgrep. Skills: Data science, Machine learning, Data pipelines. Contribute to data science projects. Discover data problems", "createdAt" : "2026-06-16T00:30:34.222", "lastUpdated" : "2026-06-16T08:46:42.913", "ingestTimestamp" : "2026-06-16T00:30:34.222", "mongoId" : "6a305985f292fd229cf487d2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 185000, "salaryAnnualMax" : 265000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data science", "Statistical analysis", "Multivariate regression", "Active-learning techniques", "Machine learning", "Data pipelines", "Data science approaches", "Iterative development", "Data visualization", "Code security", "Application security testing", "S3", "FiveTran", "DBT", "Snowflake", "Metabase", "Retool", "Sagemaker", "Jupyter Notebook" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305098f292fd229cef28f6", "title" : "Senior Data Scientist", "company" : "Jerry.ai", "industry" : "Data", "salary" : { "min" : 150000.0, "max" : 170000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "New York, New York", "locations" : [ "New York, New York", "San Francisco Bay Area", "Boston, Massachusetts", "Atlanta, Georgia", "Denver, Colorado", "Austin, Texas", "Miami, Florida" ], "timestamp" : "2026-06-16T10:40:41.021", "fingerprint" : "652e670087191fa3a3083adc4be413fa6e0f6e947270a99b5d1f5c8b9f467ca3", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/jerry.ai/b0db6399-5528-4edd-8bb5-f32dd38a5ad5/application", "externalId" : "b0db6399-5528-4edd-8bb5-f32dd38a5ad5", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python", "professionalSkills" : [ "First principles thinking", "Analytical ability" ], "hardSkillsList" : [ "Data analysis", "Experiment design", "Metric definition" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Experiment design", "level" : "intermediate" }, { "name" : "Metric definition", "level" : "intermediate" } ], "coreResponsibilities" : "Define problems, Push back on flawed questions, Define metrics, Build reports, Run analyses, Design experiments, Surface data insights, Bring recommendations, Tell what is happening, Tell why it is happening, Tell what next steps should be", "toolProficiency" : [ "Clickhouse", "Metabase", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Direct communicator; Write clearly; Speak precisely", "problemSolvingSkills" : "First principles thinker; Break ambiguous problems into clear hypotheses", "qualificationsBasic" : "4+ years of experience, Analytical ability to pull, structure, and interpret data independently, Track record of owning ambiguous problems and delivering impact, Clear, persuasive communicator who can influence decisions at the leadership level", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "rawDescription" : "Why We Exist Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our Data Science & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a Data Science team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more Data Science team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The Data Science & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central Data Science & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 4+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Data Scientist at Jerry.ai. Define problems. 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Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our Data Science & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a Data Science team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more Data Science team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The Data Science & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central Data Science & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 4+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Data Scientist at Jerry.ai. Define the right problems. Understand business question", "createdAt" : "2026-06-16T00:26:40.534", "lastUpdated" : "2026-06-16T10:35:46.362", "ingestTimestamp" : "2026-06-16T00:26:40.534", "mongoId" : "6a305098f292fd229cef28f7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 170000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Experiment design", "Metric definition", "First principles thinker", "Direct communicator", "Owner", "First principles thinking", "Analytical ability", "Clickhouse", "Metabase" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3051f8f292fd229cf09e86", "title" : "Senior Data Scientist", "company" : "Accenture Federal Services", "industry" : "Consulting", "salary" : { "min" : 155000.0, "max" : 215000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Data Scientist in Washington, DC, adjusted for Accenture Federal Services' size and the technology industry." }, "location" : "Washington, District of Columbia, United States", "locations" : [ "Washington", "District of Columbia", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T08:33:21.672", "fingerprint" : "64d7e6370e5b76bcb9806378f86bce8ca0a38e0b82c11beb4c7c683acccf0d67", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/accenturefederalservices/jobs/4686940006?gh_jid=4686940006", "externalId" : "4686940006", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Washington", "state" : "District of Columbia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8950982,-77.0363849" } ], "locationText" : "Washington, District of Columbia, United States", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Spark, Scala, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio, Tableau, Power BI, Looker", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data engineering", "Machine learning modeling", "Statistical modeling", "Data warehousing", "ETL processes", "Data pipeline development", "Cloud data services", "BI development", "Data visualization" ], "hardSkills" : [ { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Machine learning modeling", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Cloud data services", "level" : "intermediate" }, { "name" : "BI development", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" } ], "majorSkills" : "Data Science, Machine Learning, Data Engineering, Business Intelligence", "majorSkillsList" : [ "Data Science", "Machine Learning", "Data Engineering", "Business Intelligence" ], "coreResponsibilities" : "Develop and implement data science solutions, Build and maintain data pipelines, Design and deploy machine learning models, Create and manage business intelligence dashboards, Perform quantitative analysis, Collaborate with stakeholders, Ensure data quality and integrity, Stay updated on industry trends", "teamCollaboration" : "Cross-functional teams; Stakeholders; Product teams; Engineering teams", "domainKnowledge" : "Cloud data stacks; ML frameworks; BI platforms; Statistical methods", "domainList" : [ "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods" ], "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Dbt", "Snowflake", "BigQuery", "Databricks", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "Tableau", "Power BI", "Looker", "AWS", "GCP", "Azure" ], "problemSolvingSkills" : "Analytical skills; Problem-solving", "qualificationsBasic" : "5+ years of experience, Bachelor's degree, Proficiency in SQL, Experience with Python or R", "qualificationsPreferred" : "Master's degree or PhD, Experience with cloud platforms, Experience with ML frameworks, Cloud certification", "workSiteFlexibility" : "Remote", "rawDescription" : "At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward! The work: As a Senior Data Scientist, you will be using Databricks and other platforms to analyze complex datasets, identify trends, uncover patterns, and provide meaningful interpretations for a highly visible online product. The ideal candidate will possess a robust background in data analytics, hands-on experience with Databricks, and a proven track record in consumer research and retail analytics, with a strong preference for incorporating AI solutions. You will leverage skills in big data collection, cleaning, and exploratory analysis to discover patterns, anomalies, and relationships using statistical methods and visualization techniques. Requires strong experience applying statistical tests and models to validate hypotheses and identify significant trends in customer retention and churn. Here is what you need: US citizen or dual citizen (Public Trust eligible) 8+ years of experience in data analytics to drive impactful insights and solutions. Experience developing in python. Hands-on experience within Databricks environment, or similar data platform. Hands-on experience developing and maintaining analytics and dashboards to support client decision-making. Experience with consumer research and retail analytics. Experience with successful outcomes with quantifiable metrics. Experience with integrating AI-driven solutions into analytics projects. As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply. The pay range for the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland is: $116,900—$243,100 USD What We Believe As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Federal Services Equal Opportunity Policy Statement. Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women. Requesting An Accommodation Accenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information. California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.", "summaryDescription" : "Senior Data Scientist at Accenture Federal Services. Skills: Data Science, Machine Learning, Data Engineering, Business Intelligence. Develop and implement data science solutions. Build and maintain data pipelines", "postedDate" : "2026-06-15T23:18:38.394", "createdAt" : "2026-06-15T23:18:38.394", "lastUpdated" : "2026-06-16T08:33:21.672", "ingestTimestamp" : "2026-06-15T23:18:38.394", "mongoId" : "6a3051f8f292fd229cf09e86", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 215000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data engineering", "Machine learning modeling", "Statistical modeling", "Data warehousing", "ETL processes", "Data pipeline development", "Cloud data services", "BI development", "Data visualization", "Data Science", "Machine Learning", "Data Engineering", "Business Intelligence", "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Spark", "Dbt", "Snowflake", "BigQuery", "Databricks", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "Tableau", "Power BI", "Looker", "AWS", "GCP", "Azure" ], "skillCount" : 45, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3057d2f292fd229cf3e3fb", "title" : "Senior Environmental Scientist", "company" : "HDR", "industry" : "Consulting", "salary" : { "min" : 106820.0, "max" : 183120.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations" ], "certifications" : [ "Professional Wetland Scientist (PWS)" ], "timestamp" : "2026-06-16T08:37:34.319", "fingerprint" : "cea03666e55416419a0206e235b031b228df2565fcca51d48e09bc0a12a2ffcb", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=784853", "externalId" : "784853", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" }, { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" }, { "city" : "Everett", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.9793437,-122.2127011" }, { "city" : "Gig Harbor", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.3259697,-122.5878659" }, { "city" : "Olympia", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.0451022,-122.8950075" } ], "locationText" : "Seattle, Washington, United States; Bellevue, Washington, United States; Everett, Washington, United States; Gig Harbor, Washington, United States; Olympia, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "GIS software", "professionalSkills" : [ "Task management", "Budget management", "Schedule management", "Permitting applications", "Technical writing", "Client communication", "Proposal development", "Quality assurance", "Quality control", "Ecological assessment", "Environmental impact analysis", "Environmental due diligence", "Biological resources management" ], "hardSkillsList" : [ "Wetland delineations", "Stream delineations", "Functional assessments", "Wildlife surveys", "Habitat evaluations", "Natural resources permitting", "Critical areas reports", "Mitigation plans", "Monitoring plans", "NEPA documents", "SEPA documents", "Biological evaluations", "Biological assessments", "Field data collection", "GPS data collection" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Wetland delineations", "level" : "intermediate" }, { "name" : "Stream delineations", "level" : "intermediate" }, { "name" : "Functional assessments", "level" : "intermediate" }, { "name" : "Wildlife surveys", "level" : "intermediate" }, { "name" : "Habitat evaluations", "level" : "intermediate" }, { "name" : "Natural resources permitting", "level" : "intermediate" }, { "name" : "Critical areas reports", "level" : "intermediate" }, { "name" : "Mitigation plans", "level" : "intermediate" }, { "name" : "Monitoring plans", "level" : "intermediate" }, { "name" : "NEPA documents", "level" : "intermediate" }, { "name" : "SEPA documents", "level" : "intermediate" }, { "name" : "Biological evaluations", "level" : "intermediate" }, { "name" : "Biological assessments", "level" : "intermediate" }, { "name" : "Field data collection", "level" : "intermediate" }, { "name" : "GPS data collection", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Environmental science, Natural resources, Permitting, Field surveys", "majorSkillsList" : [ "Environmental science", "Natural resources", "Permitting", "Field surveys" ], "coreResponsibilities" : "Lead and direct wetland delineations, Lead and direct stream delineations, Lead and direct functional assessments, Lead and direct wildlife surveys, Lead and direct habitat evaluations, Manage task level scope, Manage task level budgets, Manage task level schedules, Oversee preparation of permitting applications, Lead development of critical areas reports, Lead development of wetland reports, Lead development of water delineation reports, Lead development of mitigation plans, Lead development of monitoring plans, Contribute as author on natural resource documents, Contribute as strategic advisor on natural resource documents, Provide QA/QC review of technical documents, Support project managers with client-agency communications, Support technical staff with client-agency communications, Develop proposals for biological-related tasks, Prepare scopes for proposals, Prepare schedules for proposals, Prepare budgets for proposals, Collaborate with junior environmental staff, Collaborate with mid-level environmental staff, Collaborate with planners, Collaborate with project engineers, Collaborate with GIS specialists, Collaborate with clients, Perform other related duties as needed", "teamCollaboration" : "Junior and mid-level staff; Planners; Project engineers; GIS specialists; Clients", "projectManagementSkills" : [ "Scope management", "Budget management", "Schedule management" ], "domainKnowledge" : "Wetland science; Stream science; Wildlife ecology; Habitat evaluation; Natural resources; Clean Water Act; Section 404 permitting; Section 401 permitting; Critical areas; NEPA; SEPA; Biological evaluations; Biological assessments; Ecological assessment; Environmental impact analysis; Environmental due diligence; Biological resources management", "domainList" : [ "wetland-science", "stream-science", "wildlife-ecology", "habitat-evaluation", "natural-resources", "clean-water-act", "section-404-permitting", "section-401-permitting", "critical-areas", "nepa", "sepa", "biological-evaluations", "biological-assessments", "ecological-assessment", "environmental-impact-analysis", "environmental-due-diligence", "biological-resources-management" ], "domainSpecificKnowledge" : [ "Wetland science", "Stream science", "Wildlife ecology", "Habitat evaluation", "Natural resources", "Clean Water Act", "Section 404 permitting", "Section 401 permitting", "Critical areas", "NEPA", "SEPA", "Biological evaluations", "Biological assessments", "Ecological assessment", "Environmental impact analysis", "Environmental due diligence", "Biological resources management" ], "toolProficiency" : [ "GPS units", "GIS software", "Webmaps" ], "communicationSkills" : "Client-agency communications; Technical writing; Technical editing", "documentationSkills" : "Permitting applications; Critical areas reports; Wetland reports; Water delineation reports; Mitigation plans; Monitoring plans; NEPA documents; SEPA documents; Biological evaluations; Biological assessments", "continuousLearning" : "Tuition reimbursement", "specialRequirements" : "Travel for projects, Local travel, Field work", "qualificationsBasic" : "Lead and direct wetland and stream delineations, Manage task level scope, budgets, and schedules, Oversee preparation of natural resources permitting applications, Lead development of critical areas reports, Contribute as an author on natural resource documents, Provide quality assurance / quality control review, Support project managers with client-agency communications, Develop proposals for biological-related tasks, Collaborate with junior and mid-level environmental staff, Perform other related duties as needed, Field data collection expertise in wildlife species, habitat, and wetlands and streams using GPS units, Experience with GPS units, GIS software and webmaps, Valid Washington State Driver’s license, Ability to travel locally on a regular basis", "qualificationsPreferred" : "Field experience with wetland and wildlife species and habitats in Washington State, Applied knowledge of ecological assessment, Applied knowledge of environmental impact analysis, Applied knowledge of environmental due diligence studies, Applied knowledge of natural biological resources management, Organization skills, Ability to work in a fast-paced work environment, Demonstrable technical writing/editing ability, Commitment to quality in work processes and products, Willingness to assume new roles, Demonstrated commitment to safety and quality, Attitude and commitment to being an active participant of our employee-owned culture, Candidates will need to travel for specific project assignments, Local candidates preferred, Professional Wetland Scientist (PWS)", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? At HDR, our employee‑ownership model shapes everything we do, including how we support and care for our people. Our diverse service lines, including Water, Architecture, Building Engineering Services, Field Services, Power, Waste, Industrial, and Transportation reflect our commitment to shaping resilient, sustainable, and forward‑thinking communities around the world. Across these disciplines, our teams design and deliver solutions that safeguard public health, enhance quality of life, power innovation, and drive responsible growth. Whether advancing clean water, creating healing and learning environments, engineering next‑generation facilities, or building the infrastructure that moves people and energy, our work is rooted in technical excellence and a shared sense of purpose. Our employee‑owners collaborate across specialties, combining creativity, precision, and deep expertise to solve the most complex challenges facing our clients and communities. Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. In the role of Senior Environmental Scientist, we'll count on you to: • Lead and direct wetland and stream delineations, functional assessments, wildlife surveys, and habitat evaluations while managing task level scope, budgets, and schedules. • Oversee preparation of natural resources permitting applications at federal, state and local level (e.g., Clean Water Act permitting Section 404/401 and WA State/local natural resources permitting) • Lead development of critical areas reports, wetland and water delineation reports, mitigation and monitoring plans and documents to address project impacts • Contribute as an author and/or strategic advisor on natural resource documents such as NEPA/SEPA documents, and biological evaluations/assessments (BAs). • Provide quality assurance / quality control (QA/QC) review of technical documents from disciplines noted above. • Support project managers and other technical staff with client-agency communications. • Develop proposals for biological-related tasks (preparing scopes, schedules, and budgets). • Effectively collaborate with junior and mid-level environmental staff, planners, project engineers, GIS specialists, and clients to achieve regulatory compliance on a variety of projects. • Perform other related duties as needed Preferred Qualifications • Field experience with wetland and wildlife species and habitats in Washington State. • Applied knowledge of ecological assessment, environmental impact analysis, environmental due diligence studies, natural/biological resources management and • Strong organization skills and ability to work in a fast-paced work environment with changing deadlines and priorities. • Demonstrable technical writing/editing ability, commitment to quality in both work processes and products and willingness to assume new roles are critical. • A demonstrated commitment to safety and quality, and an attitude and commitment to being an active participant of our employee-owned culture are essential. • Candidates will need to travel for specific project assignments. • Field data collection expertise in wildlife species, habitat, and wetlands and streams using GPS units • Professional Wetland Scientist (PWS) • Experience with GPS units, GIS software and webmaps, to support data collection, mapping, and reporting. . • Local candidates preferred • Valid Washington State Driver’s license and ability to travel locally on a regular basis to conduct field work. We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. The expected compensation range for this position depends upon skills, experience, education and geographical location. (Stated benefits are for full-time regular positions. Temporary and part-time roles eligible for limited benefits.) Seattle/Bellevue/Everett, WA: %24128,184 - %24183,120; Gig Harbor, WA: %24117,502 - %24167,860; Olympia, WA: %24106,820 - %24152,600", "summaryDescription" : "Senior Environmental Scientist at HDR. Skills: Environmental science, Natural resources, Permitting, Field surveys. Lead and direct wetland delineations. 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In the role of Senior Environmental Scientist, we'll count on you to: • Lead and direct wetland and stream delineations, functional assessments, wildlife surveys, and habitat evaluations while managing task level scope, budgets, and schedules. • Oversee preparation of natural resources permitting applications at federal, state and local level (e.g., Clean Water Act permitting Section 404/401 and WA State/local natural resources permitting) • Lead development of critical areas reports, wetland and water delineation reports, mitigation and monitoring plans and documents to address project impacts • Contribute as an author and/or strategic advisor on natural resource documents such as NEPA/SEPA documents, and biological evaluations/assessments (BAs). • Provide quality assurance / quality control (QA/QC) review of technical documents from disciplines noted above. • Support project managers and other technical staff with client-agency communications. • Develop proposals for biological-related tasks (preparing scopes, schedules, and budgets). • Effectively collaborate with junior and mid-level environmental staff, planners, project engineers, GIS specialists, and clients to achieve regulatory compliance on a variety of projects. • Perform other related duties as needed Preferred Qualifications • Field experience with wetland and wildlife species and habitats in Washington State. • Applied knowledge of ecological assessment, environmental impact analysis, environmental due diligence studies, natural/biological resources management and • Strong organization skills and ability to work in a fast-paced work environment with changing deadlines and priorities. • Demonstrable technical writing/editing ability, commitment to quality in both work processes and products and willingness to assume new roles are critical. • A demonstrated commitment to safety and quality, and an attitude and commitment to being an active participant of our employee-owned culture are essential. • Candidates will need to travel for specific project assignments. • Field data collection expertise in wildlife species, habitat, and wetlands and streams using GPS units • Professional Wetland Scientist (PWS) • Experience with GPS units, GIS software and webmaps, to support data collection, mapping, and reporting. . • Local candidates preferred • Valid Washington State Driver’s license and ability to travel locally on a regular basis to conduct field work. We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. The expected compensation range for this position depends upon skills, experience, education and geographical location. (Stated benefits are for full-time regular positions. Temporary and part-time roles eligible for limited benefits.) Seattle/Bellevue/Everett, WA: %24128,184 - %24183,120; Gig Harbor, WA: %24117,502 - %24167,860; Olympia, WA: %24106,820 - %24152,600", "summaryDescription" : "Senior Environmental Scientist at HDR. Skills: Environmental science, Natural resources, Permitting, Ecological assessment. Lead and direct wetland and stream delineations. 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Our employee‑owners collaborate across specialties, combining creativity, precision, and deep expertise to solve the most complex challenges facing our clients and communities. Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. In the role of Senior Environmental Scientist, we'll count on you to: • Lead and direct wetland and stream delineations, functional assessments, wildlife surveys, and habitat evaluations while managing task level scope, budgets, and schedules. • Oversee preparation of natural resources permitting applications at federal, state and local level (e.g., Clean Water Act permitting Section 404/401 and WA State/local natural resources permitting) • Lead development of critical areas reports, wetland and water delineation reports, mitigation and monitoring plans and documents to address project impacts • Contribute as an author and/or strategic advisor on natural resource documents such as NEPA/SEPA documents, and biological evaluations/assessments (BAs). • Provide quality assurance / quality control (QA/QC) review of technical documents from disciplines noted above. • Support project managers and other technical staff with client-agency communications. • Develop proposals for biological-related tasks (preparing scopes, schedules, and budgets). • Effectively collaborate with junior and mid-level environmental staff, planners, project engineers, GIS specialists, and clients to achieve regulatory compliance on a variety of projects. • Perform other related duties as needed Preferred Qualifications • Field experience with wetland and wildlife species and habitats in Washington State. • Applied knowledge of ecological assessment, environmental impact analysis, environmental due diligence studies, natural/biological resources management and • Strong organization skills and ability to work in a fast-paced work environment with changing deadlines and priorities. • Demonstrable technical writing/editing ability, commitment to quality in both work processes and products and willingness to assume new roles are critical. • A demonstrated commitment to safety and quality, and an attitude and commitment to being an active participant of our employee-owned culture are essential. • Candidates will need to travel for specific project assignments. • Field data collection expertise in wildlife species, habitat, and wetlands and streams using GPS units • Professional Wetland Scientist (PWS) • Experience with GPS units, GIS software and webmaps, to support data collection, mapping, and reporting. . • Local candidates preferred • Valid Washington State Driver’s license and ability to travel locally on a regular basis to conduct field work. We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. The expected compensation range for this position depends upon skills, experience, education and geographical location. (Stated benefits are for full-time regular positions. Temporary and part-time roles eligible for limited benefits.) Seattle/Bellevue/Everett, WA: %24128,184 - %24183,120; Gig Harbor, WA: %24117,502 - %24167,860; Olympia, WA: %24106,820 - %24152,600", "summaryDescription" : "Senior Environmental Scientist at HDR. Skills: Environmental science, Natural resources, Permitting, Wetland science. Lead wetland delineations. 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In the role of Senior Environmental Scientist, we'll count on you to: • Lead and direct wetland and stream delineations, functional assessments, wildlife surveys, and habitat evaluations while managing task level scope, budgets, and schedules. • Oversee preparation of natural resources permitting applications at federal, state and local level (e.g., Clean Water Act permitting Section 404/401 and WA State/local natural resources permitting) • Lead development of critical areas reports, wetland and water delineation reports, mitigation and monitoring plans and documents to address project impacts • Contribute as an author and/or strategic advisor on natural resource documents such as NEPA/SEPA documents, and biological evaluations/assessments (BAs). • Provide quality assurance / quality control (QA/QC) review of technical documents from disciplines noted above. • Support project managers and other technical staff with client-agency communications. • Develop proposals for biological-related tasks (preparing scopes, schedules, and budgets). • Effectively collaborate with junior and mid-level environmental staff, planners, project engineers, GIS specialists, and clients to achieve regulatory compliance on a variety of projects. • Perform other related duties as needed Preferred Qualifications • Field experience with wetland and wildlife species and habitats in Washington State. • Applied knowledge of ecological assessment, environmental impact analysis, environmental due diligence studies, natural/biological resources management and • Strong organization skills and ability to work in a fast-paced work environment with changing deadlines and priorities. • Demonstrable technical writing/editing ability, commitment to quality in both work processes and products and willingness to assume new roles are critical. • A demonstrated commitment to safety and quality, and an attitude and commitment to being an active participant of our employee-owned culture are essential. • Candidates will need to travel for specific project assignments. • Field data collection expertise in wildlife species, habitat, and wetlands and streams using GPS units • Professional Wetland Scientist (PWS) • Experience with GPS units, GIS software and webmaps, to support data collection, mapping, and reporting. . • Local candidates preferred • Valid Washington State Driver’s license and ability to travel locally on a regular basis to conduct field work. We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. The expected compensation range for this position depends upon skills, experience, education and geographical location. (Stated benefits are for full-time regular positions. Temporary and part-time roles eligible for limited benefits.) Seattle/Bellevue/Everett, WA: %24128,184 - %24183,120; Gig Harbor, WA: %24117,502 - %24167,860; Olympia, WA: %24106,820 - %24152,600", "summaryDescription" : "Senior Environmental Scientist at HDR. Skills: Environmental science, Natural resources, Wetland science, Wildlife biology. Lead wetland delineations. 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Our employee‑owners collaborate across specialties, combining creativity, precision, and deep expertise to solve the most complex challenges facing our clients and communities. Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. In the role of Senior Environmental Scientist, we'll count on you to: • Lead and direct wetland and stream delineations, functional assessments, wildlife surveys, and habitat evaluations while managing task level scope, budgets, and schedules. • Oversee preparation of natural resources permitting applications at federal, state and local level (e.g., Clean Water Act permitting Section 404/401 and WA State/local natural resources permitting) • Lead development of critical areas reports, wetland and water delineation reports, mitigation and monitoring plans and documents to address project impacts • Contribute as an author and/or strategic advisor on natural resource documents such as NEPA/SEPA documents, and biological evaluations/assessments (BAs). • Provide quality assurance / quality control (QA/QC) review of technical documents from disciplines noted above. • Support project managers and other technical staff with client-agency communications. • Develop proposals for biological-related tasks (preparing scopes, schedules, and budgets). • Effectively collaborate with junior and mid-level environmental staff, planners, project engineers, GIS specialists, and clients to achieve regulatory compliance on a variety of projects. • Perform other related duties as needed Preferred Qualifications • Field experience with wetland and wildlife species and habitats in Washington State. • Applied knowledge of ecological assessment, environmental impact analysis, environmental due diligence studies, natural/biological resources management and • Strong organization skills and ability to work in a fast-paced work environment with changing deadlines and priorities. • Demonstrable technical writing/editing ability, commitment to quality in both work processes and products and willingness to assume new roles are critical. • A demonstrated commitment to safety and quality, and an attitude and commitment to being an active participant of our employee-owned culture are essential. • Candidates will need to travel for specific project assignments. • Field data collection expertise in wildlife species, habitat, and wetlands and streams using GPS units • Professional Wetland Scientist (PWS) • Experience with GPS units, GIS software and webmaps, to support data collection, mapping, and reporting. . • Local candidates preferred • Valid Washington State Driver’s license and ability to travel locally on a regular basis to conduct field work. We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. The expected compensation range for this position depends upon skills, experience, education and geographical location. (Stated benefits are for full-time regular positions. Temporary and part-time roles eligible for limited benefits.) Seattle/Bellevue/Everett, WA: %24128,184 - %24183,120; Gig Harbor, WA: %24117,502 - %24167,860; Olympia, WA: %24106,820 - %24152,600", "summaryDescription" : "Senior Environmental Scientist at HDR. Skills: Environmental science, Natural resources, Permitting, Field data collection. Lead and direct wetland delineations. Lead and direct stream delineations", "createdAt" : "2026-06-15T23:08:10.050", "lastUpdated" : "2026-06-16T08:46:12.270", "ingestTimestamp" : "2026-06-15T23:08:10.050", "mongoId" : "6a3057caf292fd229cf3e145", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 106820, "salaryAnnualMax" : 183120, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Wetland delineations", "Stream delineations", "Functional assessments", "Wildlife surveys", "Habitat evaluations", "Permitting applications", "Natural resources permitting", "Critical areas reports", "Mitigation plans", "Monitoring plans", "NEPA documents", "SEPA documents", "Biological evaluations", "Biological assessments", "Field data collection", "GPS data collection", "Leadership", "Environmental science", "Natural resources", "Permitting", "Ecological assessment", "Environmental impact analysis", "Environmental due diligence", "Biological resources management", "Technical writing", "Technical editing", "Quality assurance", "Quality control", "Scope management", "Budget management", "Schedule management", "Wetland science", "Stream science", "Wildlife ecology", "Habitat evaluation", "Clean Water Act", "Section 404 permitting", "Section 401 permitting", "WA State permitting", "Local natural resources permitting", "NEPA", "SEPA", "Professional Wetland Scientist (PWS)", "GPS units", "GIS software", "Webmaps" ], "skillCount" : 46, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Environmental Services", "llmIndustryConfidence" : 0.95 }, { "id" : "69dde45b2beec4dd3d9a3f21", "title" : "Research Associate - T Cell Therapeutics", "company" : "City of Hope", "industry" : "Biotech", "salary" : { "min" : 65000.0, "max" : 85000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Research Associate in Biotech in Duarte, California, adjusted for company size and industry." }, "location" : "United States-California-Duarte", "locations" : [ "United States-California-Duarte", "Laboratory Research", "Onsite, Days, Days" ], "timestamp" : "2026-06-15T23:46:18.689", "fingerprint" : "f4091f5eae8daa03351758c4ba8191321d4f93b7085cafaf6ef6dcfbd5f019f7", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa067.taleo.net/careersection/ex/jobdetail.ftl?job=221784", "externalId" : "221784", "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" : "Bachelor's Degree", "remoteFriendly" : false, "rawDescription" : "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. City of Hope is seeking a Research Associate I to join Dr. Elizabeth Budde's T Cell Therapeutics Research Laboratories. This role involves fast-paced research in cutting-edge technology, immunotherapeutic programs, and a commitment to delivering innovative solutions to critical illnesses. For more information on T Cell Therapeutics research, please visit here . As a successful candidate, you will be: Conduct tissue culture, maintaining cell cultures and applying aseptic techniques for various cell lines, especially T cell lines. Perform T cell functional assays, including cytotoxicity, cytokine production assays, and ELISAs. Conduct cell staining for Multicolor Flow Cytometry and analyze flow cytometry data. Assist in murine surgical procedures, tissue harvesting/preparation, and contribute to revising/maintaining lab protocols. Provide routine lab support and maintain activities in accordance with Good Laboratory Practices (GLP). Your qualifications should include: ·        Bachelor’s Degree Exceptional attention to detail, accuracy in lab work, and robust record-keeping skills City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our Comprehensive Benefits, please CLICK HERE . United States-California-Duarte", "summaryDescription" : "Research Associate - T Cell Therapeutics at City of Hope", "createdAt" : "2026-06-14T20:47:38.406", "lastUpdated" : "2026-06-15T23:46:18.689", "ingestTimestamp" : "2026-06-14T20:47:38.406", "mongoId" : "69dde45b2beec4dd3d9a3f21", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryAnnualMax" : 85000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7ce074d8ee00a094e8fc", "title" : "Senior Fuel Cell Engineer", "company" : "Heven AeroTech", "industry" : "Manufacturing", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Fuel Cell Engineer in Winchester, United States, adjusted for industry and seniority." }, "location" : "Winchester, Virginia, United States", "locations" : [ "Winchester", "Virginia", "United States" ], "timestamp" : "2026-06-15T07:58:01.581", "fingerprint" : "f3d85462614fc4c557d117eb3627d9c61dde5d9d01a5c8886e620415b1de958f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/hevenaerotech/jobs/4227617009", "externalId" : "4227617009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Winchester", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.1852184,-78.1652404" } ], "locationText" : "Winchester, Virginia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Fuel cell, Hydrogen, AI, Quantum computing, MATLAB, Simulink, GT-SUITE, Ansys, Impedance spectroscopy, Machine learning", "professionalSkills" : [ "System design", "Supply chain evaluation", "Factory acceptance testing", "Quality processes" ], "hardSkillsList" : [ "Fuel cell engineering", "Electrochemical methods", "Analytical tools", "Stack optimization", "Balance-of-plant design", "Test data interpretation" ], "softSkillsList" : [ "Hungry mindset", "Humble approach", "Smart in collaboration", "Feedback", "Team success", "Team dynamics", "Interpersonal awareness" ], "hardSkills" : [ { "name" : "Fuel cell engineering", "level" : "intermediate" }, { "name" : "Electrochemical methods", "level" : "intermediate" }, { "name" : "Analytical tools", "level" : "intermediate" }, { "name" : "Stack optimization", "level" : "intermediate" }, { "name" : "Balance-of-plant design", "level" : "intermediate" }, { "name" : "Test data interpretation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Hungry mindset" }, { "name" : "Humble approach" }, { "name" : "Smart in collaboration" }, { "name" : "Feedback" }, { "name" : "Team success" }, { "name" : "Team dynamics" }, { "name" : "Interpersonal awareness" } ], "majorSkills" : "Fuel cell stacks, System performance, Component optimization", "majorSkillsList" : [ "Fuel cell stacks", "System performance", "Component optimization" ], "coreResponsibilities" : "Evaluate fuel cell components, Optimize components and thermal strategies, Maintain development laboratory equipment, Interpret and act on fuel cell data, Evaluate and model COTS system components, Support manufacturing through supply chain, Support manufacturing through factory acceptance testing, Support manufacturing through quality processes, Lead and mentor technicians", "teamCollaboration" : "Cross-functional environments; Team dynamics", "domainKnowledge" : "Hydrogen fuel cells; UAS technology; Autonomous systems; Fuel cell systems; Balance-of-plant components; Electrochemical methods", "domainList" : [ "hydrogen-fuel-cells", "uas-technology", "autonomous-systems", "fuel-cell-systems", "balance-of-plant-components", "electrochemical-methods" ], "domainSpecificKnowledge" : [ "Hydrogen fuel cells", "UAS technology", "Autonomous systems", "Fuel cell systems", "Balance-of-plant components", "Electrochemical methods" ], "toolProficiency" : [ "MATLAB", "Simulink", "GT-SUITE", "Ansys", "SEM" ], "communicationSkills" : "Clarity", "innovationCreativity" : "Prototype development", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "specialRequirements" : "Work in laboratory environments, Work in light manufacturing environments, Work around hydrogen systems, Stand for extended periods, Walk for extended periods, Move throughout facilities, Bend, Stoop, Kneel, Reach, Lift and carry up to 40 lbs, Manual dexterity, Use standard laboratory tools, Use manufacturing tools, Use diagnostic equipment, Visual acuity, Wear PPE, Work in variable noise levels, Work in variable temperatures, Work near operating machinery", "qualificationsBasic" : "U. S. Person under ITAR/EAR", "qualificationsPreferred" : "Proficiency with MATLAB/Simulink, Proficiency with GT-SUITE, Proficiency with Ansys, Experience with electrochemical methods, Experience with analytical tools, Familiarity with machine learning techniques", "workSiteFlexibility" : "Onsite", "rawDescription" : "Title: Senior Fuel Cell Engineer Company: Heven AeroTech Location: Winchester, Virginia FLSA: Exempt About Our Company: At Heven AeroTech, we engineer autonomous ecosystems that defy the limitations of traditional flight. We are a U.S.-headquartered unmanned air systems (UAS) solution innovator dedicated to solving the greatest challenges in the skies: endurance, mission capabilities, and intelligent autonomy. Hydrogen fuel cells are an ideal fuel for UASs, providing both stealth and long endurance. By merging hydrogen fuel cell propulsion with artificial intelligence and quantum computing innovation, we are creating UAS platform solutions that stay airborne longer and operate smarter than anything else in the industry. Heven also provides turnkey hydrogen solutions to deliver fuel on-site, anywhere. As we scale our domestic footprint in Winchester, Virginia, we are seeking an energetic, hands-on Fuel Cell Engineer (2) who is not only technically excellent, but also driven, collaborative, and emotionally intelligent—someone who embodies a balance of ambition, humility, and strong interpersonal awareness. This is a rare opportunity to build and innovate at the leading edge of energy, engineering, and UAS technology. Role Summary: As a founding Senior Fuel Cell Engineer, you will be a key member of a team developing hydrogen fuel cell stacks and systems with high power-to-weight ratios and high efficiency. You will help translate conceptual designs into real-world products, integrating cells into stacks and controlling system performance across balance-of-plant components. Beyond technical excellence, success in this role requires: A hungry mindset—taking initiative, seeking out challenges, and pushing work forward without waiting to be asked. A humble approach—sharing credit, being open to feedback, and prioritizing team success over individual recognition. Being smart in collaboration—understanding team dynamics, communicating effectively, and navigating complex cross-functional environments. Your work will directly influence how our systems integrate into defense, public safety, and commercial sectors, ensuring Heven AeroTech remains the gold standard for rugged, high-performance autonomous systems. Essential Responsibilities: Evaluate the performance of fuel cell membrane electrode assemblies, bipolar plates, gas diffusion layers, and sealing components in single cells up to 10 kW stacks. Use modeling tools to optimize components and thermal strategies for the fuel cell system. Maintain development laboratory equipment to ensure reliable, high-quality test data. Deploy analytical tools to rapidly interpret and act on fuel cell data. Evaluate and model COTS system components integrated with fuel cell stacks. Support manufacturing through supply chain evaluation, factory acceptance testing, and quality processes. Lead and mentor technicians as needed—providing guidance with respect and clarity. Qualifications must qualify as a U. S. Person under ITAR/EAR. Preferred: Proficiency with MATLAB/Simulink, GT-SUITE, or Ansys for stack optimization and balance-of-plant design. Experience with electrochemical methods (e.g., impedance spectroscopy) and analytical tools (e.g., SEM). Familiarity with machine learning techniques for analyzing test results. Physical Requirements: Ability to work safely and effectively in both laboratory and light manufacturing environments, including around hydrogen systems and test equipment. Capability to stand, walk, and move throughout facilities for extended periods during testing, assembly, and troubleshooting activities. Ability to bend, stoop, kneel, and reach to inspect, assemble, and maintain fuel cell stacks and UAS components. Ability to lift and carry equipment, components, or test articles up to 40 lbs, with or without reasonable accommodation. Sufficient manual dexterity to handle small components, instrumentation, and electrical/mechanical assemblies. Ability to use standard laboratory and manufacturing tools, including hand tools and diagnostic equipment. Visual acuity to inspect components, read instrumentation, and identify defects or irregularities. Ability to wear required personal protective equipment (PPE), such as safety glasses, gloves, and other protective gear as needed. Ability to work in environments with variable noise levels, temperatures, and proximity to operating machinery. Benefits Overview: Heven AeroTech offers a competitive benefits package designed to support the health, financial security, and overall well-being of our employees and their families. Benefits include medical, dental, and vision coverage, retirement plans, paid time off/sick, and additional protections such as critical illness, hospital indemnity, accident coverage, and short- and long-term disability. Equal Employment Opportunity Statement: Heven AeroTech is an Equal Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic under applicable law.", "summaryDescription" : "Senior Fuel Cell Engineer at Heven AeroTech. Skills: Fuel cell stacks, System performance, Component optimization. Evaluate fuel cell components. 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Build effective relationships", "domainKnowledge" : "Art Therapy; Counselling; Psychotherapy; Creative arts therapies; Arts-in-health practice", "domainList" : [ "art-therapy", "counselling", "psychotherapy", "creative-arts-therapies", "arts-in-health-practice" ], "domainSpecificKnowledge" : [ "Art Therapy", "Counselling", "Psychotherapy", "Creative arts therapies", "Arts-in-health practice" ], "documentationSkills" : "Academic CV; Candidate statement", "innovationCreativity" : "Innovative training programs; Arts-led pedagogy", "specialRequirements" : "Provide evidence of working rights in Australia", "outcomesObjectives" : "Outcomes of high quality and high impact", "qualificationsBasic" : "PhD in a nominated discipline, Track record of research, Ability to support students, Experience of teaching effectiveness, Ability to work in a team, Ability to interact with profession and industry, Attract funding for learning and teaching initiatives, Provide evidence of working rights in Australia", "qualificationsPreferred" : "Passion for educational excellence, Foster educational excellence in others", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "* Full-time, Ongoing position at Academic Level C. * Parramatta campus with flexible working arrangements. * Salary: $147,138 – $169,011 per annum, plus 17% Super and Leave Loading. Lead impactful teaching and research that advances Art Therapy and supports student success. The Opportunity [Western Sydney University](https://www.westernsydney.edu.au/) is a premier national and international destination for postgraduate clinical training and research studies in the fields of counselling, psychotherapy and creative arts therapies. Our experienced educators and emerging researchers have developed innovative training programs including a highly successful person-centred counselling program and an award-winning arts-led pedagogy for training art therapists and arts-in-health practitioners. We have written key texts that influence research, clinical education and professional practice, heightening discipline visibility for Arts Therapy and Counselling (ATC) within and beyond the University. About You * A PhD in a nominated discipline. * Demonstrated track record, relative to opportunity, of research with outcomes of high quality and high impact . * Evidence of ability to support and inspire students from diverse backgrounds and support student equity diversity and inclusion initiatives. * Experience of teaching effectiveness and passion for educational excellence and fostering this in others. * Demonstrated ability to work in a team, collaborate across disciplines and build effective relationships. * Demonstrated ability to interact with the profession and industry and attract funding for learning and teaching initiatives. Please refer to the [Position Description](https://c.smartrecruiters.com/sr-company-attachments-prod-aws-dc9/687f73eddb0ab5ec2c02a323/038f8f9a-0db9-4a34-92f1-1f09b5549fdd?r=s3-ap-southeast-2) for full details. Benefits We invest in the people who make our mission possible. Alongside a rewarding career, we offer a range of benefits designed to support your financial, personal and family wellbeing. * Financial benefits: Access to staff-only products and offers with selected banking partners, salary sacrifice options for onsite parking, and novated motor vehicle leasing. * Health and wellbeing support: Free Employee Assistance Program (EAP), complimentary annual flu vaccination, eligibility for Fitness Passport membership, and access to discounted private health cover. * Onsite childcare: Long day care and early learning services operate at our Campbelltown, Hawkesbury, Parramatta, and Penrith campuses. Staff may be eligible for discounted fees and salary packaging, with places subject to centre capacity. Application Details Position Enquiries: Direct to Associate Professor Sheridan Linnell via S.Linnell@westernsydney.edu.au Please include the job reference code REF1442Y Closing Date: 11:59pm, Friday 10 July 2026 Working Rights: You must provide evidence of your working rights in Australia at time of application. How to Apply: To express your interest in the role, please prepare the following application materials: * A comprehensive academic CV detailing your positions held (with dates), key achievements, education, professional training, qualifications (including dates of completion), and a summary of your research activity and outputs. * A candidate statement outlining your claim for the role, what you hope to accomplish, and how your experience and skills align with the selection criteria. * Contact details for three referees, including your relationship to each referee and why you have nominated them. Referees will only be contacted after prior consultation with you. * Your earliest possible start date. As part of your online application, you will be asked to respond to screening questions addressing the key qualifications, experiences and skills required for this position. Please note that only applications submitted via the University’s online recruitment system will be considered. Belonging at Western We are committed to substantive equality as outlined in our [Equal Opportunity Policy](https://policies.westernsydney.edu.au/document/view.current.php?id=95). We actively encourage applications from Indigenous Australians, candidates of all gender identities and expressions, people of all abilities, and those from culturally and linguistically diverse backgrounds. For reasonable adjustments during the application process, please contact [talentacquisitionteam@westernsydney.edu.au](mailto:talentacquisitionteam@westernsydney.edu.au). About Western This is your opportunity to be part of something bigger. By joining Western Sydney University, you become a valued member of our community. As our region changes, so too does our university. Western is boldly different, energetic, global, diverse, dynamic, and youthful. Our mission is to deliver student success, impactful research, and stronger communities. As part of our team, you will have a stake in shaping the future of education, broadening horizons, and changing lives. Making a difference starts at Western. For the latest please visit our [website](https://www.westernsydney.edu.au/) and [LinkedIn](https://www.linkedin.com/school/western-sydney-university/posts/?feedView=all).", "summaryDescription" : "Senior Lecturer, Art Therapy at Western Sydney University. Skills: Art Therapy, Teaching, Research. Lead teaching. Lead research", "postedDate" : "2026-06-14T23:50:07.000", "createdAt" : "2026-06-16T00:25:36.210", "lastUpdated" : "2026-06-16T12:17:07.311", "ingestTimestamp" : "2026-06-16T00:25:36.210", "mongoId" : "6a306d6ef292fd229cfd887a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Art therapy research", "Student support", "Teaching effectiveness", "Team collaboration", "Interdisciplinary collaboration", "Relationship building", "Industry engagement", "Funding acquisition", "Art Therapy", "Teaching", "Research", "Clinical training", "Research studies", "Creative arts therapies", "Training programs", "Arts-led pedagogy", "Professional practice", "Learning and teaching", "Counselling", "Psychotherapy", "Arts-in-health practice" ], "skillCount" : 21, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306285f292fd229cf9a7fd", "title" : "Associate Scientist II, Production", "company" : "LGC Group", "industry" : "Biotechnology", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Associate Scientist II in the Biotech industry in Middleton, United States, adjusted for junior seniority and company size." }, "location" : "Middleton, WI, United States", "locations" : [ "Middleton", "WI", "United States" ], "timestamp" : "2026-06-16T13:19:56.124", "fingerprint" : "2bfcd5e67e40888a1d3bc0b16e0744f65b430d800a71464ee21ab9fb19cce183", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/LGCGroup/744000132214519-associate-scientist-ii-production", "externalId" : "744000132214519", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Middleton", "state" : "Wisconsin", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.0962919,-89.5119565" } ], "locationText" : "Middleton, Wisconsin, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "PCR, SDS-PAGE, Western blotting, AKTA platform", "professionalSkills" : [ "Process development", "Production operations" ], "hardSkillsList" : [ "Protein purification", "Chromatography systems", "Dialysis operations", "Tangential Flow Filtration", "Buffer preparation", "Amplicon sequencing", "Recombinant proteins", "Bacteria fermentation", "Dilution calculations", "Pipetting techniques" ], "hardSkills" : [ { "name" : "Protein purification", "level" : "intermediate" }, { "name" : "Chromatography systems", "level" : "intermediate" }, { "name" : "Dialysis operations", "level" : "intermediate" }, { "name" : "Tangential Flow Filtration", "level" : "intermediate" }, { "name" : "Buffer preparation", "level" : "intermediate" }, { "name" : "Amplicon sequencing", "level" : "intermediate" }, { "name" : "Recombinant proteins", "level" : "intermediate" }, { "name" : "Bacteria fermentation", "level" : "intermediate" }, { "name" : "Dilution calculations", "level" : "intermediate" }, { "name" : "Pipetting techniques", "level" : "intermediate" } ], "majorSkills" : "Protein production, Protein purification, Quality control, Production maintenance", "majorSkillsList" : [ "Protein production", "Protein purification", "Quality control", "Production maintenance" ], "coreResponsibilities" : "Contribute to operations teams, Perform manufacturing activities, Perform quality control activities, Perform production maintenance activities, Assist purifying recombinant proteins, Prepare chromatography systems, Operate chromatography systems, Prepare dialysis operations, Operate dialysis operations, Prepare TFF operations, Operate TFF operations, Prepare buffer preparation, Provide technical support, Support kit manufacturing, Support protein production protocols, Process data, Record data, Analyze data, Identify events, Escalate events, Support process improvements, Support nonconformance reporting, Support investigations, Support corrective actions, Support preventative actions, Communicate results, Maintain cleanliness, Maintain orderliness, Learn quality management system, Follow quality management system", "teamCollaboration" : "Technical staff; Peers", "domainKnowledge" : "Molecular biology; Genomics; Process development; Production operations; Molecular diagnostics; Pharma biotech; Agrigenomics; NGS proteins; ISO 13485", "domainList" : [ "molecular-biology", "genomics", "process-development", "production-operations", "molecular-diagnostics", "pharma-biotech", "agrigenomics", "ngs-proteins", "iso-13485" ], "domainSpecificKnowledge" : [ "Molecular biology", "Genomics", "Process development", "Production operations", "Molecular diagnostics", "Pharma biotech", "Agrigenomics", "NGS proteins", "ISO 13485" ], "toolProficiency" : [ "Microsoft Office", "Word", "Excel", "PowerPoint" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Good documentation practices", "qualificationsBasic" : "Bachelor's degree in life sciences, Applicable industry experience, Prior experience operating laboratory equipment, Ability to follow standard operating procedures, Familiarity with biological techniques, Familiarity with analytical techniques, Interest in protein purification, Ability to learn protein purification, Working knowledge of Microsoft Office", "qualificationsPreferred" : "2+ years laboratory experience, Prior experience protein production, Prior experience protein purification, Experience reagent preparation, Experience dilution calculations, Experience precise pipetting, Experience PCR workflows, Experience amplicon sequencing workflows, Experience library preparation, Experience sample indexing, Experience handling oligonucleotides, Experience handling primer pools, Experience handling sequencing reagents, Experience supporting process development, Experience supporting process optimization, Experience supporting technology transfer, Experience with functional testing, Experience with bacteria fermentation", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "With manufacturing sites across the US, UK, Germany and Denmark, LGC Biosearch Technologies has plans to continue growing. We deliver mission critical genomics to our diverse customer base in molecular diagnostics, pharma/biotech and agrigenomics. Our integrated portfolio of products, services and expertise supports our purpose of Science for a Safer World and we have embodied our mission by working with customers to enable research into life-altering treatment for disease and illness worldwide. We are currently seeking candidates who are up for the challenge of operating in a high-growth, purpose-driven organisation. The Associate Scientist II, Production will manufacture enzymes for the Company’s various product lines. The position may expand to also support manufacture of additional product lines and development of new products, applications and businesses. To perform this job successfully, an individual must be able to perform each of the following essential functions satisfactorily: * Contribute to operations teams performing manufacturing, quality control, and production maintenance activities in a manner consistent with LGC-Lucigen’s ISO 13485 quality systems * Assist in purifying recombinant proteins from different expression systems * In accordance with designated procedures and work instructions, prepare and operate chromatography systems, dialysis/TFF operations, and buffer preparation * Provide dedicated technical support for the development, implementation, and routine execution of amplicon sequencing kit manufacturing processes * Support and follow protein production protocols geared towards robust and cost-effective supply of molecular biology/NGS proteins * Process, record, and analyze data following approved protocols and using good documentation practices * Identify and escalate events that deviate from normal operation * Support process improvements, nonconformance reporting, investigations, and corrective/preventative actions as assigned * Effectively communicate results to the LGC-Lucigen team * Maintain cleanliness and orderliness of operational area * Conscientiously learn and diligently follow the requirements of the site’s quality management system * Perform other duties as required or assigned to meet business needs ## Qualifications Education/Experience/Licenses/Certifications Minimum Qualifications: * Bachelor’s degree in relevant life sciences field (molecular biology, microbiology, biochemistry, etc.)—or applicable industry experience * Prior experience operating standard laboratory equipment (e.g. pH meters, conductivity meters, pipettes) * Ability to follow standard operating procedures (SOP’s) and/or manufacturing protocols * Familiarity with standard biological and analytical techniques, including PCR, SDS-PAGE, and western blotting * Interest in and ability to learn protein purification using both manual and automated systems (AKTA platform), depth-filtration, and Tangential Flow Filtration operations * Working knowledge of Microsoft Office, including Word, Excel, and PowerPoint Preferred Qualifications: * 2+ years of laboratory experience in molecular biology, genomics, process development, or production operations. * Prior experience with protein production and purification in an industrial setting * Experience performing reagent preparation, dilution calculations, and precise pipetting techniques. * Experience with PCR and amplicon sequencing workflows, including library preparation and sample indexing. * Experience handling oligonucleotides, primer pools, or sequencing reagents. * Experience supporting process development, optimization, or technology transfer activities. * Experience with functional testing (PCR, LAMP, etc.) * Experience with bacteria fermentation Competencies & Behaviours: * Effective written and verbal communication skills with technical staff and peers * Ability to gather and organize information * Proven reliable work ethic, with the ability to follow standard operating procedures (SOPs) and work instructions to effectively meet production needs * Ability to work effectively both individually and in a team environment * Effective time management and organizational skills * Passion for continuous improvement, with demonstrated initiative and an ability to adapt to change in the environment * Aptitude to work in a complex and rapidly growing company * Results-oriented, ensuring targets are met on time and on budget * Must be highly accurate and detail-oriented * Demonstrated good professional judgment and reliability * Resonate and operate in line with LGC’s core value behaviors: Passion, Curiosity, Integrity, Brilliance, and Respect ## Additional Information ABOUT LGC: LGC is a leading, global life science tools company, providing mission-critical components and solutions into high-growth application areas across the human healthcare and applied market segments. Its high-quality product portfolio is comprised of mission-critical tools for genomic analysis and for quality assurance applications, which are typically embedded and recurring within our customers’ products and workflows and are valued for their performance, quality, and range. OUR VALUES * PASSION * CURIOSITY * INTEGRITY * BRILLIANCE * RESPECT EQUAL OPPORTUNITIES LGC strongly believes that every job applicant and employee should be valued for their individual talents regardless of age, disability, race, color, ethnic or national origin, sex, sexual orientation, gender reassignment, marital or civil partnership, pregnancy or maternity, religion, or belief. Short listing, interviewing and selection will always be carried out without regard to gender, sexual orientation, marital status, color, race, nationality, ethnic or national origins, religion or belief, age, or trade union membership. 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Peers", "domainKnowledge" : "Molecular biology; Genomics; Process development; Production operations; NGS proteins; Amplicon sequencing; Oligonucleotides; Sequencing reagents; Bacteria fermentation", "domainList" : [ "molecular-biology", "genomics", "process-development", "production-operations", "ngs-proteins", "amplicon-sequencing", "oligonucleotides", "sequencing-reagents", "bacteria-fermentation" ], "domainSpecificKnowledge" : [ "Molecular biology", "Genomics", "Process development", "Production operations", "NGS proteins", "Amplicon sequencing", "Oligonucleotides", "Sequencing reagents", "Bacteria fermentation" ], "toolProficiency" : [ "Microsoft Office", "Word", "Excel", "PowerPoint" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Good documentation practices", "qualificationsBasic" : "Bachelor's degree in relevant life sciences field, Applicable industry experience, Prior experience operating standard laboratory equipment, Ability to follow standard operating procedures, Familiarity with standard biological and analytical techniques, Interest in and ability to learn protein purification, Working knowledge of Microsoft Office", "qualificationsPreferred" : "2+ years of laboratory experience, Prior experience with protein production, Experience performing reagent preparation, Experience with PCR and amplicon sequencing workflows, Experience handling oligonucleotides, Experience supporting process development, Experience with functional testing, Experience with bacteria fermentation", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "With manufacturing sites across the US, UK, Germany and Denmark, LGC Biosearch Technologies has plans to continue growing. We deliver mission critical genomics to our diverse customer base in molecular diagnostics, pharma/biotech and agrigenomics. Our integrated portfolio of products, services and expertise supports our purpose of Science for a Safer World and we have embodied our mission by working with customers to enable research into life-altering treatment for disease and illness worldwide. We are currently seeking candidates who are up for the challenge of operating in a high-growth, purpose-driven organisation. The Associate Scientist II, Production will manufacture enzymes for the Company’s various product lines. The position may expand to also support manufacture of additional product lines and development of new products, applications and businesses. To perform this job successfully, an individual must be able to perform each of the following essential functions satisfactorily: * Contribute to operations teams performing manufacturing, quality control, and production maintenance activities in a manner consistent with LGC-Lucigen’s ISO 13485 quality systems * Assist in purifying recombinant proteins from different expression systems * In accordance with designated procedures and work instructions, prepare and operate chromatography systems, dialysis/TFF operations, and buffer preparation * Provide dedicated technical support for the development, implementation, and routine execution of amplicon sequencing kit manufacturing processes * Support and follow protein production protocols geared towards robust and cost-effective supply of molecular biology/NGS proteins * Process, record, and analyze data following approved protocols and using good documentation practices * Identify and escalate events that deviate from normal operation * Support process improvements, nonconformance reporting, investigations, and corrective/preventative actions as assigned * Effectively communicate results to the LGC-Lucigen team * Maintain cleanliness and orderliness of operational area * Conscientiously learn and diligently follow the requirements of the site’s quality management system * Perform other duties as required or assigned to meet business needs ## Qualifications Education/Experience/Licenses/Certifications Minimum Qualifications: * Bachelor’s degree in relevant life sciences field (molecular biology, microbiology, biochemistry, etc.)—or applicable industry experience * Prior experience operating standard laboratory equipment (e.g. pH meters, conductivity meters, pipettes) * Ability to follow standard operating procedures (SOP’s) and/or manufacturing protocols * Familiarity with standard biological and analytical techniques, including PCR, SDS-PAGE, and western blotting * Interest in and ability to learn protein purification using both manual and automated systems (AKTA platform), depth-filtration, and Tangential Flow Filtration operations * Working knowledge of Microsoft Office, including Word, Excel, and PowerPoint Preferred Qualifications: * 2+ years of laboratory experience in molecular biology, genomics, process development, or production operations. * Prior experience with protein production and purification in an industrial setting * Experience performing reagent preparation, dilution calculations, and precise pipetting techniques. * Experience with PCR and amplicon sequencing workflows, including library preparation and sample indexing. * Experience handling oligonucleotides, primer pools, or sequencing reagents. * Experience supporting process development, optimization, or technology transfer activities. * Experience with functional testing (PCR, LAMP, etc.) * Experience with bacteria fermentation Competencies & Behaviours: * Effective written and verbal communication skills with technical staff and peers * Ability to gather and organize information * Proven reliable work ethic, with the ability to follow standard operating procedures (SOPs) and work instructions to effectively meet production needs * Ability to work effectively both individually and in a team environment * Effective time management and organizational skills * Passion for continuous improvement, with demonstrated initiative and an ability to adapt to change in the environment * Aptitude to work in a complex and rapidly growing company * Results-oriented, ensuring targets are met on time and on budget * Must be highly accurate and detail-oriented * Demonstrated good professional judgment and reliability * Resonate and operate in line with LGC’s core value behaviors: Passion, Curiosity, Integrity, Brilliance, and Respect ## Additional Information ABOUT LGC: LGC is a leading, global life science tools company, providing mission-critical components and solutions into high-growth application areas across the human healthcare and applied market segments. Its high-quality product portfolio is comprised of mission-critical tools for genomic analysis and for quality assurance applications, which are typically embedded and recurring within our customers’ products and workflows and are valued for their performance, quality, and range. OUR VALUES * PASSION * CURIOSITY * INTEGRITY * BRILLIANCE * RESPECT EQUAL OPPORTUNITIES LGC strongly believes that every job applicant and employee should be valued for their individual talents regardless of age, disability, race, color, ethnic or national origin, sex, sexual orientation, gender reassignment, marital or civil partnership, pregnancy or maternity, religion, or belief. Short listing, interviewing and selection will always be carried out without regard to gender, sexual orientation, marital status, color, race, nationality, ethnic or national origins, religion or belief, age, or trade union membership. 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Perform manufacturing activities", "postedDate" : "2026-06-15T14:14:49.000", "createdAt" : "2026-06-15T21:47:32.217", "lastUpdated" : "2026-06-16T06:58:25.784", "ingestTimestamp" : "2026-06-15T21:47:32.217", "mongoId" : "6a30522cf292fd229cf0bc81", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 70000, "salaryAnnualMax" : 95000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Protein purification", "Chromatography systems", "Buffer preparation", "Dilution calculations", "Pipetting techniques", "Library preparation", "Sample indexing", "Bacteria fermentation", "Production", "Quality control", "Technical support", "Process improvements", "Data analysis", "Molecular biology", "Genomics", "Process development", "Production operations", "NGS proteins", "Amplicon sequencing", "Oligonucleotides", "Sequencing reagents", "Microsoft Office", "Word", "Excel", "PowerPoint" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "68ed10ae70f0b99d58e7bcd1", "title" : "Principal Applied Scientist, Prime Video Personalization & Discovery", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, entertainment", "salary" : { "min" : 179000.0, "max" : 309400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-15T11:06:10.456", "fingerprint" : "635dfd8d7b9bc449f976ee094597d80695eac92026ecc70e2df38bea74c371c5", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3104623/apply", "externalId" : "b7f3a3b1-37d3-4118-a181-ca91ab249c9f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, Java, C++, TensorFlow, PyTorch, Deep learning, Generative AI, Reinforcement learning, Optimization", "professionalSkills" : [ "System design", "MLOps" ], "hardSkillsList" : [ "Recommendation systems", "Search relevance", "Personalization systems", "A/B testing", "Data analysis" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Recommendation systems", "level" : "intermediate" }, { "name" : "Search relevance", "level" : "intermediate" }, { "name" : "Personalization systems", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Machine learning, Recommendation systems, Generative AI, Personalization", "majorSkillsList" : [ "Machine learning", "Recommendation systems", "Generative AI", "Personalization" ], "coreResponsibilities" : "Invent, prototype, and productionize AI solutions, Provide technical leadership, Influence product vision, Design and lead A/B tests, Validate hypotheses, Guide product decisions, Drive technical bar-raising, Mentor scientists, Review designs, Publish research internally and externally", "teamCollaboration" : "Collaborate with engineers; Collaborate with product managers; Collaborate with senior leaders", "domainKnowledge" : "Personalization systems; Discovery ecosystem; Recommendation systems; Generative AI", "domainList" : [ "personalization-systems", "discovery-ecosystem", "recommendation-systems", "generative-ai" ], "domainSpecificKnowledge" : [ "Personalization systems", "Discovery ecosystem", "Recommendation systems", "Generative AI" ], "communicationSkills" : "Technical leadership; Publish research", "continuousLearning" : "Stay ahead of industry trends", "innovationCreativity" : "Invent groundbreaking AI solutions; Push boundaries", "problemSolvingSkills" : "Data analysis", "outcomesObjectives" : "Deliver AI-powered customer experiences; Drive business goals", "qualificationsBasic" : "PhD or Master's with 10+ years experience, 8+ years ML model experience, Proven leadership in ML/AI initiatives, Proficiency in Python, Java, or C++, Experience with ML frameworks", "qualificationsPreferred" : "Strong publication record, PhD preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you interested in shaping the future of entertainment through cutting-edge AI? Prime Video’s technology teams are redefining the digital video experience at scale. As a Principal Applied Scientist at Prime Video, you will be a technical and strategic leader responsible for inventing, developing, and deploying groundbreaking AI solutions that power personalized, relevant, and delightful experiences for millions of global customers. You will help shape the vision and direction of key ML systems that support Prime Video’s mission to deliver AI-powered customer experiences. This role demands a unique blend of deep technical expertise in machine learning and recommendation systems, industry leadership, and strong collaboration skills. You will guide the development of high-impact systems end-to-end—leading innovation from foundational research through production deployment—while mentoring scientists and influencing product and engineering roadmaps. We are looking for a thought leader who brings a strong track record of delivering ML innovations at scale, along with the curiosity and drive to push boundaries. This is a rare opportunity to drive meaningful impact at one of the largest streaming services in the world. Key job responsibilities -Invent, prototype, and productionize large-scale AI solutions across Prime Video’s personalization and discovery ecosystem using deep learning, generative AI, reinforcement learning, and optimization techniques; -Provide technical leadership and influence product vision by collaborating closely with engineers, product managers, and senior stakeholders; -Design and lead high-impact A/B tests and data analyses to validate hypotheses and guide product direction; -Drive technical bar-raising across science and engineering teams through mentorship, design reviews, and collaboration; -Stay ahead of industry trends and emerging research; leverage them to evolve long-term strategy and architecture; -Publish impactful research internally and externally (e.g. top-tier conferences and journals). About the team Prime Video Personalization and Discovery (PVPD) is dedicated to creating a highly personalized content discovery experience that not only delights our customers but also drives both short-and long-term business goals. Our scope includes personalized recommendations, search, marketing, and the advanced machine learning technology and infrastructure that underpins these experiences. Our mission is to automate and enhance customer engagement through personalization, using ML and Generative AI. Basic Qualifications: -PhD (or Master’s with 10+ years of applied experience) in machine learning, computer science, statistics, or a related field -8+ years of experience designing, building, and deploying ML models for real-world business applications at scale -Proven leadership in driving cross-functional ML/AI initiatives from ideation through production Proficiency in Python, Java, or C++, and experience with ML frameworks (e.g., TensorFlow, PyTorch) -Deep expertise in recommendation systems, search relevance, or large-scale personalization systems Preferred Qualifications: -Strong publication record in top-tier conferences (e.g. NeurIPS, ICML, KDD, RecSys, SIGIR) -Experience with large-scale distributed systems (e.g. Hadoop, Spark) -Demonstrated ability to influence technical roadmaps and mentor other scientists and engineers -Experience defining and delivering strategic AI vision for consumer-facing products 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, Prime Video Personalization & Discovery at Amazon.com Services LLC. Skills: Machine learning, Recommendation systems, Generative AI, Personalization. Invent, prototype, and productionize AI solutions. 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Physical Therapy Technicians are expected to execute a high standard of clinical excellence while maintaining 5-star customer service. Spear strives to foster a true community environment for both patients and team members; therefore, a collaborative spirit is valued to ensure everyone receives the care and support they need. Other duties as assigned ## Qualifications Previous customer service experience.Strong communication skills and ability to multi-task.A strong attention to detail and willingness to grow.Athletic experience a plus! ## What we offer Mentorship Programs and Spear's award-winning Future Leaders Program (SFLP). One Medical paid membership.Learn more at onemedical.com/business Medical, Dental, Vision Benefits, Commuter FSA Plan. 401(K) Safe Harbor Match: SPEAR will make a matching contribution equal to 100% of the first 3% of annual compensation, plus 50% of the next 2% of annual compensation. The total SPEAR matching contribution will not exceed 4% of your annual compensation Generous paid time including PTO, Floating Holidays, Company Holidays, Mental Health Employee Perks: discounted rates for entertainment, travel, fitness, insurance plans, etc.Commuter benefit - travel costs from paycheck before taxes.Gym membership discounts with Blink & Crunch Fitness.Company Events - Annual Summer Picnic and Holiday Awards Celebration ## Who we are looking for We value empathy in our team members and a dedication to clinical excellence -- whatever your workstyle -- above all else. While we are looking for both entrepreneurial big-thinkers and those dedicated simply to the day-to-day of treatment, successful candidates will understand that being clear is kind and that actions express priorities. No matter where you are in your career, we are positive you will find your niche with us and grow.Further success factors may include:  A passion for the field of physical and occupational therapy.  A proactive, collaborative, team-oriented attitude because we don’t work in silos.  A dedication to not only rehabilitating patients’ injuries but their confidence and vitality as well.  A sense of accomplishment from pairing your clinical excellence with emotional intelligence.  You celebrate wins and learn from losses with your patients, colleagues, and surrounding communities. 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Physical Therapy Technicians are expected to execute a high standard of clinical excellence while maintaining 5-star customer service. Spear strives to foster a true community environment for both patients and team members; therefore, a collaborative spirit is valued to ensure everyone receives the care and support they need. Other duties as assigned ## Qualifications Previous customer service experience.Strong communication skills and ability to multi-task.A strong attention to detail and willingness to grow.Athletic experience a plus! ## What we offer Mentorship Programs and Spear's award-winning Future Leaders Program (SFLP). One Medical paid membership.Learn more at onemedical.com/business Medical, Dental, Vision Benefits, Commuter FSA Plan. 401(K) Safe Harbor Match: SPEAR will make a matching contribution equal to 100% of the first 3% of annual compensation, plus 50% of the next 2% of annual compensation. 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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 Arthur Riggs Diabetes & Metabolism Research Institute (AR-DMRI) promotes new discoveries and innovation across pathophysiology, diabetes related complications and treatment of type 1 and 2 diabetes. The Department of Translational Research & Cellular Therapeutics (TRCT) which is under AR-DMRI, led by Fouad Kandeel, M.D., Ph.D., has translated landmark scientific discoveries into treatments that have improved the lives of diabetic patients around the world. TRCT focuses on stem cell biology and development, translational and clinical research, islet isolation and distribution, islet isolation and quality assessment, islet imaging, islet encapsulation, and new drug discoveries. A Staff Scientist position is available within the lab of Dr. Fouad Kandeel and Dr. Angel Gu. For more information on the lab please visit here . As a successful candidate, you will: Be proficient in immunology and diabetes research, particularly Type 1 Diabetes (T1D). Have an expertise in EV biology and perform skills such as isolation, purification and functional study. Effectively develop projects in a translational research environment to meet project goals. Your qualifications should include: A Ph.D. with a minimum of two years of mesenchymal stem cell research and extracellular vesicle (EV) research experience. Must have the ability to design and execute laboratory experiments, critically interpret experimental results, and present data in a clear and concise manner. Ability to participate in the preparation of grant applications, scientific publications, and IND submissions. Excellent oral and written communication skills. Demonstrated publication record in peer-reviewed scientific journals. City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our Comprehensive Benefits, please CLICK HERE . United States-California-Duarte", "summaryDescription" : "Staff Scientist – Extracellular Vesicle and T Cell Research at Beckman Research Institute. Skills: Extracellular vesicles, T cell immunology, Single-cell sequencing. Design and execute experiments. 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Work with engineers; Work with business teams; Work with economics teams", "domainKnowledge" : "Private Brands Discovery; Customer journey; Consumer economy; Causal inference; Econometrics; Natural Language Processing; Deep learning; Multi-armed bandits; Reinforcement learning; Bayesian Optimization; Statistical inference", "domainList" : [ "private-brands-discovery", "customer-journey", "consumer-economy", "causal-inference", "econometrics", "natural-language-processing", "deep-learning", "multi-armed-bandits", "reinforcement-learning", "bayesian-optimization", "statistical-inference" ], "domainSpecificKnowledge" : [ "Private Brands Discovery", "Customer journey", "Consumer economy", "Causal inference", "Econometrics", "Natural Language Processing", "Deep learning", "Multi-armed bandits", "Reinforcement learning", "Bayesian Optimization", "Statistical inference" ], "toolProficiency" : [ "scikit-learn", "Spark MLLib", "MxNet", "TensorFlow", "numpy", "scipy", "Hadoop", "Spark" ], "communicationSkills" : "Present results; Present reports; Present data insights", "innovationCreativity" : "Invent new solutions; Innovate marketing strategies; Innovate merchandising strategies; Propose new models; Propose new algorithms", "problemSolvingSkills" : "Decompose complex problems; Solve tough science problems", "qualificationsBasic" : "3+ years ML models business application, PhD or Master's 6+ years applied research, Experience programming Java, C++, Python, Experience neural deep learning methods, Experience machine learning", "qualificationsPreferred" : "Experience modeling tools R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Experience large scale distributed systems Hadoop, Spark", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Private Brands Discovery team designs innovative machine learning solutions to drive customer awareness for Amazon’s own brands and help customers discover products they love. Private Brands Discovery is an interdisciplinary team of Scientists and Engineers, who incubate and build disruptive solutions using cutting-edge technology to solve some of the toughest science problems at Amazon. To this end, the team employs methods from Natural Language Processing, Deep learning, multi-armed bandits and reinforcement learning, Bayesian Optimization, causal and statistical inference, and econometrics to drive discovery across the customer journey. Our solutions are crucial for the success of Amazon’s own brands and serve as a beacon for discovery solutions across Amazon. This is a high visibility opportunity for someone who wants to have business impact, dive deep into large-scale problems, enable measurable actions on the consumer economy, and work closely with scientists and engineers. As a scientist, 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. 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.. With a focus on bias for action, this individual will be able to work equally well with Science, Engineering, Economics and business teams. Key job responsibilities - Experience in causal ML and treatment effect estimation, including methods like propensity scoring, doubly robust estimators, and uplift modeling. Strong background in Python, ML pipelines, and deploying models to production with robust monitoring and evaluation. Familiarity with causal inference frameworks and translating business questions into actionable causal insights. - Drive applied science projects in machine learning end-to-end: from ideation over prototyping to launch. For example, starting from deep scientific thinking about new ways to support customers’ journeys through discovery, you analyze how customers discover, review and purchase Private Brands to innovate marketing and merchandising strategies. - Propose viable ideas to advance models and algorithms, with supporting argument, experiment, and eventually preliminary results. - Invent ways to overcome technical limitations and enable new forms of analyses to drive key technical and business decisions. - Present results, reports, and data insights to both technical and business leadership. - Constructively critique peer research and mentor junior scientists and engineers. - Innovate and contribute to Amazon’s science community and external research communities. Basic Qualifications: - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications: - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. 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. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status. CAN, BC, Vancouver - 195,900.00 - 327,200.00 CAD annually", "summaryDescription" : "Sr Applied Scientist, Private Brands Discovery at Amazon Development Centre Canada ULC. Skills: Machine learning, Applied science, Causal inference, Deep learning. Drive applied science projects end-to-end. Ideate, prototype, and launch ML solutions", "postedDate" : "2026-06-13T02:48:37.199", "createdAt" : "2026-06-13T02:48:37.199", "lastUpdated" : "2026-06-15T02:11:06.849", "ingestTimestamp" : "2026-06-13T02:48:37.199", "mongoId" : "69f519c94c40e2acd1eb1c35", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10409004/apply", "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Propensity scoring", "Doubly robust estimators", "Uplift modeling", "Statistical inference", "Econometrics", "Bias for action", "Business context", "Scientific excellence", "Mentoring", "Machine learning", "Applied science", "Causal inference", "Deep learning", "Causal ML", "Treatment effect estimation", "ML pipelines", "Marketing strategies", "Merchandising strategies", "Algorithm design", "Model structure", "Efficiency", "Extensibility", "Private Brands Discovery", "Customer journey", "Consumer economy", "Natural Language Processing", "Multi-armed bandits", "Reinforcement learning", "Bayesian Optimization", "scikit-learn", "Spark MLLib", "MxNet", "TensorFlow", "numpy", "scipy", "Hadoop", "Spark" ], "skillCount" : 37, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a0de91258b93c861eb9905a", "title" : "Oncology Transplant Coordinator - Bone Marrow Transplant Cell Therapy", "company" : "Tampa General Hospital", "industry" : "Healthcare", "salary" : { "min" : 85000.0, "max" : 125000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Oncology Transplant Coordinator in Tampa, FL, adjusted for the healthcare industry and a large hospital setting." }, "location" : "United States-Florida-Tampa", "locations" : [ "United States-Florida-Tampa", "
TGH Main Campus (TGHMAIN)
1 Tampa General Circle

Tampa, 33601

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Coordinates patient care across outpatient clinics, inpatient nursing unit and community to provide continuity of patient care across settings. Serves as a clinical resource for other team members, patients/family/caregivers, referring case managers and community clinicians. Demonstrates knowledge and competence regarding management and care of patients with oncologic and hematologic malignancies and other diseases treated with HSC transplantation and cellular therapies. Exercises wide latitude in decision-making within written organizational and department policies and principles. Responsible for performing job duties in accordance with the mission, vision and values of Tampa General Hospital. Essential Functions: Coordinates and promotes clinical activities of adult and pediatric, autologous and allogeneic HSC transplantation and other cellular therapies. Provides consultation to TGH Medical Faculty, other physicians, nurses and health care professionals who provide health care to HSC transplant or cellular therapy patients. Collaborates in development and updates of protocols and guidelines for BMT and Cellular Therapy Clinical Program SOP Manual. Supports enrollment of transplant and cellular therapy patients in clinical trials by working collaboratively with Research Coordinators. Maintains knowledge of current practices in transplantation/cellular therapy, oncology and hematology, including changes in SOPs, FACT (Foundation for the Accreditation of Cellular Therapy) standards, workflows, guidelines, etc. Completes training required to consent patients to trials involving the Center for International Blood and Marrow Transplant Research (CIBMTR) or procurement of unlicensed umbilical cord blood units. Completes paper- or electronic data reporting forms for CIBMTR and National Marrow Donor program, as needed. Clinical practice support as needed for BMT Cellular Therapy patients during evaluations, transplant and post-transplant follow-up within scope of RN licensure and TGH RN education requirements.                       Education: Bachelor’s Degree in Nursing License: Registered Nurse – Issued by Florida or Compact State Certification: Certified Hematopoietic Transplant Coordinator (CHTC) by American Board for Transplant Certification (ABTC) Blood and Marrow Transplant Certified Nurse (BMTCN) by Oncology Nursing Certification Corporation (ONCC) (within 2 years of hire) Work Experience and Additional Information : Minimum of two (2) years of clinical experience as an RN caring for acute and chronically-ill adults and/or children. Two (2) years of experience in Blood and Bone Marrow Transplant or Hematology. Two (2) years of experience with clinical research and insurance prior authorization, or transplant contracting. Technical Knowledge, Skills, and Abilities : Knowledge of disease pathophysiology, diagnostic testing, coordination and timing between completion of standard care. Knowledge of transplant/cellular therapy, treatment eligibility criteria, pre-treatment conditioning regimens, immunosuppressive regimens, side effects, supportive care protocols and management of post-treatment complications.   Knowledge of evaluation and eligibility criteria for autologous, related family and unrelated donors and methods of cell collection and anticipated side effects. Familiarity with institutional, national and international guidelines for transplant procedures, donor selection and patient safety. Proficiency in educating patients and caregivers about treatment plans, risks and post-treatment care, while advocating for needs and preferences. Independent thinking skills; high degree of problem-solving and rapid decision-making skills, often requiring an innovative approach to resolve complex and unanticipated problems. Ability to apply appropriate interventions to individual patients and patient concerns while performing daily tasks. Ability to manage complex care transitions between outpatient, inpatient and community settings, ensuring continuity and quality of care. Strong ability to communicate effectively with patients, families, interdisciplinary teams and external providers, including case managers and referring clinicians. Ability to work seamlessly with physicians, nurses, social workers and other specialists to develop and implement individualized care plans. Ability to remain composed and effective in fast-paced, high-stakes clinical situations involving critically-ill patients. Demonstrated capacity to serve as a clinical expert and mentor for team members, contributing to staff development and program improvement. Tampa", "summaryDescription" : "Oncology Transplant Coordinator - Bone Marrow Transplant Cell Therapy at Tampa General Hospital. Skills: Cellular therapies, Patient care coordination. Coordinate patient evaluation. 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U.", "industry" : "Applied Science, Retail", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for E-Commerce in Madrid, Spain, adjusted for Seniority and Company Size." }, "location" : "Madrid, Community of Madrid, ESP", "locations" : [ "Madrid, Community of Madrid, ESP" ], "timestamp" : "2026-06-15T06:03:32.844", "fingerprint" : "dc8ad1a69953283ea77d9e51e28fb3e59a9a242ce9b0e5a9f9958def56542b8f", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10384939/apply", "externalId" : "63d1dea6-3da1-45bd-8dac-a47887c11038", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Madrid", "state" : "Community of Madrid", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "40.4167820,-3.7035070" } ], "locationText" : "Madrid, Community of Madrid, Spain", "employmentType" : "FULL_TIME", "technicalSkills" : "Java, C++, Python, MxNet, Tensor Flow", "professionalSkills" : [ "Machine learning solutions", "Data quality issues" ], "hardSkillsList" : [ "Deep learning", "Model architecture design", "Model training", "Model optimization", "Model pruning" ], "softSkillsList" : [ "Inventive", "Talented" ], "hardSkills" : [ { "name" : "Deep learning", "level" : "intermediate" }, { "name" : "Model architecture design", "level" : "intermediate" }, { "name" : "Model training", "level" : "intermediate" }, { "name" : "Model optimization", "level" : "intermediate" }, { "name" : "Model pruning", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Inventive" }, { "name" : "Talented" } ], "majorSkills" : "Machine learning, GenAI, Data solutions", "majorSkillsList" : [ "Machine learning", "GenAI", "Data solutions" ], "coreResponsibilities" : "Identify opportunities for innovation, Apply machine learning solutions, Automate manual processes, Scale existing systems, Improve catalog data quality, Translate business and functional requirements, Design scalable distributed services, Develop scalable distributed services, Test scalable distributed services, Deploy scalable distributed services, Solve data quality issues at scale, Influence the scientific roadmap, Set standards for scientific excellence, Work with state-of-the-art models", "teamCollaboration" : "Business partners; Business leaders; Product managers; Scientists; Engineers", "domainKnowledge" : "E-commerce; AI; Customer experience; GenAI; Image to text; LLMs", "domainList" : [ "e-commerce", "ai", "customer-experience", "genai", "image-to-text", "llms" ], "domainSpecificKnowledge" : [ "E-commerce", "AI", "Customer experience", "GenAI", "Image to text", "LLMs" ], "innovationCreativity" : "Innovative new projects; Inventive Scientist", "problemSolvingSkills" : "Solve complex problems", "outcomesObjectives" : "Improve the experience of millions of daily customers", "qualificationsBasic" : "Experience in building models for business application, Master's degree and experience in CS, CE, ML or related field, Experience in patents or publications, Experience programming in Java, C++, Python or related language", "qualificationsPreferred" : "Experience in algorithms and data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel and distributed computing, Experience in high-performance computing, Experience in state-of-the-art deep learning models architecture design, Experience in deep learning training and optimization, Experience in model pruning, Experience with MxNet, Experience with Tensor Flow", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Amazon, we are committed to being the Earth’s most customer-centric company. The European International Technology group (EU INTech) owns the enhancement and delivery of Amazon’s engineering to all the varied customers and cultures of the world. We do this through a combination of partnerships with other Amazon technical teams and our own innovative new projects. You will be joining the Tools and Machine Learning (Tamale) team. As part of EU INTech, we tackle complex, high-impact problems at the intersection of e-commerce, AI, and customer experience — going well beyond traditional ML pipelines. Our work spans multiple frontiers: we build GenAI-powered data solutions, enabling scalable and cost-efficient training data generation at Amazon scale. We design and deploy agentic systems for detecting and fixing quality issues across Amazon's retail surfaces. And we develop ranking and recommendation models for Haul shopping experiences. We are looking for a passionate, talented, and inventive Scientist with a strong machine learning background to help build industry-leading machine learning solutions. We strongly value your hard work and obsession to solve complex problems on behalf of Amazon customers. Key job responsibilities We look for applied scientists who possess a wide variety of skills. As the successful applicant for this role, you will with work closely with your business partners to identify opportunities for innovation. You will apply machine learning solutions to automate manual processes, to scale existing systems and to improve catalog data quality, to name just a few. You will work with business leaders, scientists, and product managers to translate business and functional requirements into concrete deliverables, including the design, development, testing, and deployment of highly scalable distributed services. You will be part of team of scientists and engineers working on solving data quality issues at scale. You will be able to influence the scientific roadmap of the team, setting the standards for scientific excellence. You will be working with state-of-the-art models, including image to text, LLMs and GenAI. Your work will improve the experience of millions of daily customers using Amazon in Europe and in other regions. You will have the chance to have great customer impact and continue growing in one of the most innovative companies in the world. You will learn a huge amount - and have a lot of fun - in the process! Basic Qualifications: - Experience in building models for business application - PhD, or a Master's degree and experience in CS, CE, ML or related field - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language Preferred Qualifications: - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning - Experience with popular deep learning frameworks such as MxNet and Tensor Flow Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. 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.", "summaryDescription" : "Applied Scientist, EU INTech Consumer Selection Discovery at Amazon Spain Services, S. L. U.. Skills: Machine learning, GenAI, Data solutions. Identify opportunities for innovation. Apply machine learning solutions", "postedDate" : "2026-06-13T17:08:54.165", "createdAt" : "2026-06-13T17:08:54.165", "lastUpdated" : "2026-06-15T06:03:32.844", "ingestTimestamp" : "2026-06-13T17:08:54.165", "mongoId" : "69d5e4962beec4dd3d9319b0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10384939/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Deep learning", "Model architecture design", "Model training", "Model optimization", "Model pruning", "Inventive", "Talented", "Machine learning", "GenAI", "Data solutions", "Machine learning solutions", "Data quality issues", "E-commerce", "AI", "Customer experience", "Image to text", "LLMs" ], "skillCount" : 17, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c7ae774d8ee00a094753a", "title" : "Cell Testing Engineer", "company" : "Gotion, Inc.", "salary" : { "min" : 90000.0, "max" : 150000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Pleasant Valley, Ohio, United States", "locations" : [ "Pleasant Valley", "Ohio", "United States" ], "timestamp" : "2026-06-16T01:40:06.888", "fingerprint" : "752168eeae3bb0155d5a2489059697b3499db245d41532293ec1efc2c8ec9aba", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/gotion/jobs/7263379002", "externalId" : "7263379002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pleasant Valley", "state" : "Ohio", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.0646742,-80.6779444" } ], "locationText" : "Pleasant Valley, Ohio, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "rawDescription" : "Gotion Inc. is based in Silicon Valley, CA, currently building a Manufacturing facility in Manteno, IL and has R&D centers in Ohio, China, Japan and Europe. We innovate in the next generation electric vehicle and energy storage technologies (lithium batteries and related systems) with the aim to accelerate electrified transportation and achieve sustainable development. Gotion is powered by a leading power battery technology company that provides solutions for vehicles including the world's first mass commercial e-bus route. Gotion is a career destination - we are not simply attempting to just fill another job, but to pursue a dream of global green energy together! We offer outstanding opportunities to individuals seeking an exciting and challenging working environment. Everyone is highly valued and plays a vital role in the growth of our organization. Gotion seeks a Test Engineer to lead the testing efforts for battery cells and systems developed for key account projects. The Test Engineer will design and execute test plans to evaluate the performance, durability, and safety of battery solutions, ensuring they meet client specifications and industry standards. Essential Duties and Responsibilities: Develop and implement test plans for battery cells, modules, and packs. Operate and maintain battery testing equipment and facilities. Analyze test data, identify performance trends, and report findings to the engineering team. Collaborate with R&D to refine battery designs based on test results. Ensure testing procedures comply with industry standards and safety regulations. Manage documentation and reporting of test processes and outcomes. Required Qualifications: Bachelor’s degree in Electrical Engineering, Mechanical Engineering, or related field. Minimum of 3 years of experience in battery testing or a related field. Experience with battery test equipment and data analysis tools. Knowledge of battery technology and industry testing standards. Strong organizational and analytical skills. Base pay is one part of our total compensation package at Gotion, and is determined within a range. This provides you with the opportunity to progress as you grow and advance your career at Gotion. The base pay range for this role is shown below, and will depend on your skills, qualifications, experiences, and location. Expected Pay Range $90,000—$150,000 USD Gotion Inc. is proud to be an equal opportunity employer. We are dedicated to fostering a diverse workforce that reflects the communities we serve, cultivating a culture of inclusion and belonging, and ensuring equal employment opportunities for all. We provide equal opportunity to all individuals regardless of race, creed, color, religion, gender, sexual orientation, gender identity or expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related conditions (including breastfeeding), parental status, criminal histories consistent with legal requirements, or any other characteristic protected by law. 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"max" : 250000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Everett, WA", "locations" : [ "Everett, WA" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T09:46:18.888", "fingerprint" : "65be02df7b549604e69723185bc95406f5c707f9e9339cb8656f3c71d517ba2c", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/helion/8ba990f2-6221-4834-8f50-75a237fe614a/application", "externalId" : "8ba990f2-6221-4834-8f50-75a237fe614a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Everett", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.9793437,-122.2127011" } ], "locationText" : "Everett, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, 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Certified certification, Dbt Certified certification", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Helion We are a fusion power company based in Everett, WA, with the mission to build the world's first fusion power plant, enabling a future with unlimited clean electricity. Our vision is a world with clean, reliable, and affordable energy for everyone. Since Helion's founding in 2013, we have raised over $1 billion from long-time investors such as Sam Altman, Mithril, and Capricorn Investment Group as well as new investors SoftBank and Lightspeed to propel us forward. Our last prototype, Trenta, completed 10,000 high-power pulses and reached plasma temperatures of 100 million degrees Celsius (9 keV). We are now operating Polaris, our next prototype on the path to the world's first fusion power plant. This is a pivotal time to join Helion. You will tackle real-world challenges with a team that prizes urgency, rigor, ownership, and a commitment to delivering hard truths – values essential to achieving what no one has before. Together, we will change the future of energy, because the world can't wait. What You Will Be Doing: Helion is hiring a Senior Plasma Data Scientist specializing in synthetic diagnostics to improve how we measure, interpret, and model FRC plasma behavior. In this role, you will develop and validate synthetic diagnostic models that connect experimental diagnostic signals with simulation outputs, helping improve diagnostic accuracy and plasma performance interpretation. In your first year, you will focus on integrating these models with experimental and simulation data pipelines to support faster, more reliable experimental analysis. This position reports to the Experimental Science Manager at our Everett, WA office and plays a key role in advancing Helion’s path toward fusion electricity. You Will: - Develop and validate machine‑learning frameworks for FRC plasma‑dynamics, leveraging physics‑grounded ML approaches (e.g., differentiable physics, PINNs, surrogate modeling, or hybrid physics+ML systems) - Integrate ML models with existing simulation tools and experimental‑diagnostic pipelines to enable hybrid physics + data‑driven validation workflows - Reproduce experimental plasma conditions within ML modeling workflows to support interpretation of magnetic diffusion, circuit response, and diagnostic measurements - Generate analysis scripts for post‑processing, parsing model outputs, and visualizing correlations between ML‑based predictions and experimental results - Collaborate with plasma‑physics, pulsed‑power, and transient‑magnetics experts to expand the fidelity and fusion‑relevance of ML‑enabled modeling frameworks - Communicate results with rigor and clarity through reports, presentations, and technical visualizations for research stakeholders Required Skills: - PhD in Physics, Engineering, Applied Math, Computational Science, Machine Learning, or related field with emphasis on physics‑grounded modeling - 3+ years of industry or research‑lab experience applying machine learning in experimental, simulation‑driven, or scientific R&D environments - Expertise with physics‑informed or physics‑constrained ML methods, such as differentiable physics, PINNs, scientific ML, surrogate modeling, or reduced‑order models for complex physical systems - Experience integrating ML models with scientific‑computing workflows, simulation tools, or experimental diagnostics - Proficiency scripting for data parsing, model analysis, and visualization (MATLAB, Python, or similar; Fortran or HPC exposure valuable) - Familiarity with magnetic diffusion, circuit coupling, or plasma‑dynamics modeling in pulsed‑power or electromagnetics systems Benefits Our total compensation package includes benefits, including but not limited to: • Medical, Dental, and Vision plans for employees and their families • 31 Days of PTO (21 vacation days and 10 sick days) • 10 Paid holidays, plus company-wide winter break • Up to 5% employer 401(k) match • Short term disability, long term disability, and life insurance • Paid parental leave and support (up to 16 weeks) • Annual wellness stipend Helion is an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need assistance or an accommodation during the interview process, please let us know.", "summaryDescription" : "Senior Plasma Data Scientist at Helion. Skills: Data science, Data engineering, ML/AI, Business intelligence, Analytics engineering, Quantitative analysis", "createdAt" : "2026-06-16T00:28:14.895", "lastUpdated" : "2026-06-16T09:46:18.888", "ingestTimestamp" : "2026-06-16T00:28:14.895", "mongoId" : "6a305efff292fd229cf76f81", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 210000, "salaryAnnualMax" : 250000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "ML engineering", "Statistical modeling", "Machine learning", "AI development", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Scala", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure", "SageMaker", "Vertex AI", "Synapse", "ML Studio" ], "skillCount" : 60, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Climate Tech", "llmIndustryConfidence" : 0.98 }, { "id" : "69ce5e3b9bc74574cb677959", "title" : "Production Engineer(Cell)", "company" : "Mercedes-Benz Group China Ltd.", "industry" : "Manufacturing", "salary" : { "min" : 325000.0, "max" : 510000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Production Engineer in Zhenjiang, China, adjusted for the automotive industry and company size." }, "location" : "China (Mainland)-Jiangsu-Zhenjiang", "locations" : [ "China (Mainland)-Jiangsu-Zhenjiang", "East of HengShan Road and North of YinHe Road, , Zhenjiang" ], "timestamp" : "2026-06-16T01:25:41.904", "fingerprint" : "d29a3b57cef198c172e2af003b287719d2ba196afbd8cd91d0e0b1537179edd7", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=891470", "externalId" : "891470", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Zhenjiang", "state" : "Jiangsu", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "32.1893957,119.4199854" } ], "locationText" : "Zhenjiang, Jiangsu, China", "employmentType" : "CONTRACT", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "MS-Office, PPT, Excel, Power BI", "professionalSkills" : [ "Data analysis", "Problem solving", "Supplier quality management", "Quality assurance", "Production planning", "Change management", "Intercultural communication" ], "hardSkillsList" : [ "Production operation", "Data analysis" ], "hardSkills" : [ { "name" : "Production operation", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "majorSkills" : "Production ramp-up, Quality compliance, Continuous improvement", "majorSkillsList" : [ "Production ramp-up", "Quality compliance", "Continuous improvement" ], "coreResponsibilities" : "Monitor key processes, Monitor rework processes, Monitor Q-gates, Monitor traceability systems, Conduct data analysis, Identify potential quality risks, Secure output efficiency, Secure product quality, Secure transparency, Secure traceability, Set up projects, Correct deviations, Improve deviations, Provide transparent updates, Collaborate with stakeholders, Collaborate with supplier partners, Maintain process standards, Rectify process standards, Improve process standards, Participate in SFM, Join problem solving, Join CI, Support onsite audit, Secure change management, Simulate catch-up plan, Define catch-up plan, Build capability dashboard, Monitor KPIs, Steer in accordance with KPIs, Operate in accordance with KPIs", "teamCollaboration" : "Internal Mercedes-Benz stakeholders; Supplier business partners", "projectManagementSkills" : [ "Technical Project Leader" ], "domainKnowledge" : "Battery technology; Battery development; Battery process", "domainList" : [ "battery-technology", "battery-development", "battery-process" ], "domainSpecificKnowledge" : [ "Battery technology", "Battery development", "Battery process" ], "toolProficiency" : [ "MS-Office", "Excel", "Power BI", "PPT" ], "communicationSkills" : "Intercultural communication; Transparent updates", "problemSolvingSkills" : "Problem solving; Data analysis", "specialRequirements" : "Time limited position till 7/31/2027", "outcomesObjectives" : "Ensure volume output; Ensure quality compliance; Ensure continuous improvement; Ramp up production; Meet planned battery demand", "qualificationsBasic" : "5 years of work experience, Problem-solving experience, Supplier onsite Taskforce experience, Fluent English skills", "qualificationsPreferred" : "Mechanical Engineering degree, Automotive Engineering degree, Technical oriented Business Administration degree, Production planning experience, Supplier quality management experience, Quality assurance experience, International cooperation experience, Intercultural communication skills in China, Cell production experience, German language skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Objective of job To support the implementation of Mercedes-Benz’s battery project success, it is critical to restart production and ramp up onsite with planned battery demand within a tight timeline. We are therefore seeking a Production Expert to join our task force at the supplier site, oversee the production ramp-up across module and pack plant, and ensure volume output, quality compliance, and continuous improvement in line with defined KPIs. The Production Expert is assumed as the Technical Project Leader to: Monitoring conformity of the key processes and rework processes, Q-gates, and traceability systems to ensure full adherence to the standards and conduct data analysis to proactively identify potential quality risks. Work with the supplier team to secure output efficiency, product quality and transparency and traceability, set up projects and lead to correct/ improve deviations. In addition, this role will provide transparent updates on production status, product quality, and improvement before-and-after to stakeholders and management, collaborating with both internal Mercedes-Benz stakeholders and supplier business partners to maintain, rectify, and improve on-site process standards and execution. Task Description Participate in SFM, join problem solving and CI, do data analysis, support onsite audit, secure change management, simulate and define necessary catch-up plan with realistic production capacity assumption. Setup projects and do analysis of complex production issues and deep dives; define, check and track the implementation of short- and long-term measures Build-up capability dashboard and proactively identify the potential quality risk via data analysis regularly Monitoring of KPIs and steering/operating in accordance with the existing KPI set (OEE, output, yield, FTC, …) Qualifications Education Graduated/certified engineer Mechanical Engineering, Automotive Engineering, technical orientated Business Administration or similar Experience Minimum of 5 years of work experience in production/production planning/supplier quality management/quality assurance Problem-solving experience within automobile production/ supplier quality engineering/ equipment planning Experience in international cooperation projects; proven intercultural communication skills in China Supplier onsite Taskforce experience, cell production experience is a huge plus Specific Knowledge High motivation and flexibility combined with a high ability to work independently Good organization skills and structured working function Strong background in production operation or quality assurance or data analysis related areas Proficient knowledge in MS-Office especially in PPT, Excel and Power BI Intercultural competences, team player Intercultural competence and communication skills with various hierarchy levels Knowledge in Battery technology/ development/ process is a huge plus Integrative, open-minded character with excellent analytical, communication and facilitation skills; strong background in dig into data. Coordination skills and quality compliance mindset; motivated by working on new things and fun at work, willing to go the extra mile. Fluent English skills, German language skills is a plus Others: time limited position till 7/31/2027 or earlier. Mercedes-Benz Group China Ltd.", "summaryDescription" : "Production Engineer(Cell) at Mercedes-Benz Group China Ltd.. Skills: Production ramp-up, Quality compliance, Continuous improvement. Monitor key processes. Monitor rework processes", "createdAt" : "2026-06-14T19:47:16.120", "lastUpdated" : "2026-06-16T01:25:41.904", "ingestTimestamp" : "2026-06-14T19:47:16.120", "mongoId" : "69ce5e3b9bc74574cb677959", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Production operation", "Data analysis", "Production ramp-up", "Quality compliance", "Continuous improvement", "Problem solving", "Supplier quality management", "Quality assurance", "Production planning", "Change management", "Intercultural communication", "Technical Project Leader", "Battery technology", "Battery development", "Battery process", "MS-Office", "Excel", "Power BI", "PPT" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "69dde45b2beec4dd3d9a3f12", "title" : "Research Associate II - T Cell Therapeutics", "company" : "City of Hope", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Research Associate II in Duarte, CA, adjusted for the biotech industry and company size." }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations", "Research", "Onsite, Days, Days" ], "timestamp" : "2026-06-16T05:49:11.699", "fingerprint" : "e88e293c1c2b04859ae5e46fc757efec0ca7894eb68201799761e2216c5b8adc", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa067.taleo.net/careersection/ex/jobdetail.ftl?job=221365", "externalId" : "221365", "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" : "Bachelor's", "experienceMinYears" : 2, "remoteFriendly" : false, "rawDescription" : "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. City of Hope is seeking a Research Associate II to join Dr. Elizabeth Budde's T Cell Therapeutics Research Laboratories. This role involves fast-paced research in cutting-edge technology, immunotherapeutic programs, and a commitment to delivering innovative solutions to critical illnesses. For more information on T Cell Therapeutics research, please visit here . As a successful candidate, you will be: Conduct tissue culture, maintaining cell cultures and applying aseptic techniques for various cell lines, especially T cell lines. Perform T cell functional assays, including cytotoxicity, cytokine production assays, and ELISAs. Conduct cell staining for Multicolor Flow Cytometry and analyze flow cytometry data. Assist in murine surgical procedures, tissue harvesting/preparation, and contribute to revising/maintaining lab protocols. Provide routine lab support and maintain activities in accordance with Good Laboratory Practices (GLP). Your qualifications should include: Bachelor’s degree in Biological Sciences or related field, with 2 years of post-degree research experience, or 1 year with a Master’s degree Exceptional attention to detail, accuracy in lab work, and robust record-keeping skills Preferred: Master’s degree and hands-on experience in cellular immunology and GLP City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our Comprehensive Benefits, please CLICK HERE . United States-California-Duarte", "summaryDescription" : "Research Associate II - T Cell Therapeutics at City of Hope", "createdAt" : "2026-06-14T20:49:06.614", "lastUpdated" : "2026-06-16T05:49:11.699", "ingestTimestamp" : "2026-06-14T20:49:06.614", "mongoId" : "69dde45b2beec4dd3d9a3f12", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305118f292fd229cef9943", "title" : "Discovery Lab Filtration Leader", "industry" : "Others", "salary" : { "min" : 4500000.0, "max" : 7000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director of Discovery Lab Filtration in the Biotech industry in India, adjusted for seniority and industry." }, "location" : "India", "locations" : [ "India" ], "timestamp" : "2026-06-16T12:38:11.088", "fingerprint" : "139d463ec5b2071467b6404642615d96360dae059ed16264282a68fd16474c7f", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/e85eeb32-9840-461e-af09-5fe5b4421033/apply", "externalId" : "e85eeb32-9840-461e-af09-5fe5b4421033", "industryFunction" : { }, "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 10, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Sales leadership", "Team management", "Financial planning", "Demand forecasting", "Performance tracking", "Customer acquisition", "Key account growth", "Market analysis", "Competitive dynamics" ], "softSkillsList" : [ "Leadership", "People development", "Interpersonal skills" ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "People development" }, { "name" : "Interpersonal skills" } ], "majorSkills" : "Commercial strategy, Sales leadership, Team development", "majorSkillsList" : [ "Commercial strategy", "Sales leadership", "Team development" ], "coreResponsibilities" : "Define regional commercial strategy, Execute regional commercial strategy, Lead Account Managers, Develop Account Managers, Motivate Account Managers, Lead Sales Specialists, Develop Sales Specialists, Motivate Sales Specialists, Drive market share expansion, Oversee financial planning, Oversee demand forecasting, Oversee performance tracking, Build customer acquisition strategies, Execute customer acquisition strategies, Build key account growth strategies, Execute key account growth strategies, Strengthen customer relationships, Engage with key stakeholders, Provide technical leadership, Provide capability development, Analyze market trends, Analyze competitive dynamics, Identify opportunities, Inform strategic decisions", "teamCollaboration" : "Cross-functional teams; Global teams; Regional teams", "domainKnowledge" : "Laboratory filtration; Pharma segments; Biopharma segments; CRO/CDMO segments; Academic institutions; Biotech; Translational research; Applied life sciences", "domainList" : [ "laboratory-filtration", "pharma-segments", "biopharma-segments", "cro-cdmo-segments", "academic-institutions", "biotech", "translational-research", "applied-life-sciences" ], "domainSpecificKnowledge" : [ "Laboratory filtration", "Pharma segments", "Biopharma segments", "CRO/CDMO segments", "Academic institutions", "Biotech", "Translational research", "Applied life sciences" ], "communicationSkills" : "Presentation skills; Interpersonal skills", "continuousLearning" : "Leadership development; Technical training programs", "outcomesObjectives" : "Drive growth across portfolios; Expand market share", "qualificationsBasic" : "10+ years of experience in life sciences commercial roles, Proven success in sales leadership or team management, Understanding of laboratory filtration, Understanding of QC environments, Understanding of OEM, Understanding of applied life sciences segments, Ability to build and execute commercial strategies, Ability to work collaboratively across global and regional teams", "qualificationsPreferred" : "MBA or advanced degree preferred, Experience in a matrix organization", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "## Accountabilities Define and execute the regional commercial strategy for lab filtration products, aligned with global and regional business priorities. Lead, develop, and motivate a team of Account Managers and Sales Specialists to drive growth across Whatman and Pall portfolios. Drive market share expansion across key segments including pharma, biopharma, CROs/CDMOs, and academic institutions. Oversee financial planning, demand forecasting, and performance tracking for assigned product portfolios. Build and execute customer acquisition and key account growth strategies across India and South Asia. Strengthen customer relationships and engage with key stakeholders in biotech, translational research, and academia. Provide technical leadership and capability development for commercial teams through training and continuous knowledge sharing. Analyze market trends and competitive dynamics to identify opportunities and inform strategic decisions. Requirements: Bachelor’s or Master’s degree in Life Sciences or related scientific field; MBA or advanced degree preferred. 10+ years of experience in life sciences commercial roles, with proven success in sales leadership or team management. Strong understanding of laboratory filtration, QC environments, OEM, and applied life sciences segments. Demonstrated ability to build and execute commercial strategies in a matrix organization. Strong leadership and people development skills with the ability to inspire and guide cross-functional teams. Excellent communication, presentation, and interpersonal skills with the ability to influence senior stakeholders. Strong business acumen with the ability to analyze markets and translate insights into actionable strategies. Ability to work collaboratively across global and regional teams in a dynamic environment. Benefits: Competitive compensation package aligned with senior commercial leadership roles. Performance-based incentives tied to business growth and market expansion. Flexible working arrangements, including remote work options depending on role structure. Comprehensive health insurance and wellness support programs. Opportunity to lead strategic growth initiatives across a high-impact life sciences portfolio. Access to continuous learning, leadership development, and technical training programs. Exposure to global teams, customers, and cross-functional commercial operations. Dynamic work environment focused on innovation, collaboration, and scientific advancement. ## 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" : "Discovery Lab Filtration Leader. Skills: Commercial strategy, Sales leadership, Team development. Define regional commercial strategy. Execute regional commercial strategy", "postedDate" : "2026-06-15T06:45:31.204", "createdAt" : "2026-06-15T06:45:31.204", "lastUpdated" : "2026-06-16T12:38:11.088", "ingestTimestamp" : "2026-06-16T03:23:41.526", "mongoId" : "6a305118f292fd229cef9943", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Leadership", "People development", "Interpersonal skills", "Commercial strategy", "Sales leadership", "Team development", "Team management", "Financial planning", "Demand forecasting", "Performance tracking", "Customer acquisition", "Key account growth", "Market analysis", "Competitive dynamics", "Laboratory filtration", "Pharma segments", "Biopharma segments", "CRO/CDMO segments", "Academic institutions", "Biotech", "Translational research", "Applied life sciences" ], "skillCount" : 22, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "69fe94fe4c40e2acd11218a0", "title" : "Applied Scientist, EU INTech Consumer Selection Discovery, EU InTech Consumer Selection Discovery", "company" : "Amazon Spain Services, S. L. U.", "industry" : "Machine Learning Science, Applied Science, kindlecontent", "salary" : { "min" : 75000.0, "max" : 115000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Applied Scientist in Madrid, Spain, adjusted for the technology industry and large company size." }, "location" : "Madrid, Community of Madrid, ESP", "locations" : [ "Madrid, Community of Madrid, ESP" ], "timestamp" : "2026-06-15T02:20:28.501", "fingerprint" : "d794ba24cb6aa6108207f7f0694ebf08020fa087e047bae73e4df14c9b27d12a", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10414722/apply", "externalId" : "55f3443f-462b-4a5f-b90b-eb2ba9d0a589", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Madrid", "state" : "Community of Madrid", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "40.4167820,-3.7035070" } ], "locationText" : "Madrid, Community of Madrid, Spain", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "technicalSkills" : "Java, C++, Python, Unix, Linux", "professionalSkills" : [ "Business application", "Data mining", "Numerical optimization", "Parallel computing", "Distributed computing", "High-performance computing" ], "hardSkillsList" : [ "Algorithms", "Data structures" ], "hardSkills" : [ { "name" : "Algorithms", "level" : "intermediate" }, { "name" : "Data structures", "level" : "intermediate" } ], "majorSkills" : "Machine learning models", "majorSkillsList" : [ "Machine learning models" ], "coreResponsibilities" : "Solve highly ambiguous and challenging problems, Work with text to image models, Work with image to text models, Design models, Develop models, Deliver models, Support models, Influence scientific direction, Influence best practices, Maintain quality on team deliverables", "teamCollaboration" : "Partner teams around the world", "domainKnowledge" : "Consumer selection discovery; Catalog and Search; Ranking; Computer vision; Recommendation systems; Search", "domainList" : [ "consumer-selection-discovery", "catalog-and-search", "ranking", "computer-vision", "recommendation-systems", "search" ], "domainSpecificKnowledge" : [ "Consumer selection discovery", "Catalog and Search", "Ranking", "Computer vision", "Recommendation systems", "Search" ], "innovationCreativity" : "Invent; Simplify; Build", "problemSolvingSkills" : "Solve highly ambiguous and challenging problems", "qualificationsBasic" : "Master's degree and experience, Experience in building models, Experience in patents or publications, Experience programming in Java, C++, Python, Experience in algorithms and data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel and distributed computing, Experience in high-performance computing", "qualificationsPreferred" : "PhD preferred, Experience using Unix/Linux", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon's International Technology org in EU (EU INTech) is creating new ways for Amazon customers discovering Amazon catalog through new and innovative Customer experiences. Our vision is to provide the most relevant content and CX for their shopping mission. We are responsible for building the software and machine learning models to surface high quality and relevant content to the Amazon customers worldwide across the site. The team, mainly located in Madrid Technical Hub, London and Luxembourg, comprises Software Developer and ML Engineers, Applied Scientists, Product Managers, Technical Product Managers and UX Designers who are experts on several areas of ranking, computer vision, recommendations systems, Search as well as CX. Are you interested on how the experiences that fuel Catalog and Search are built to scale to customers WW? Are interesting on how we use state of the art AI to generate and provide the most relevant content? Key job responsibilities We are looking for Applied Scientists who are passionate to solve highly ambiguous and challenging problems at global scale. You will be responsible for major science challenges for our team, including working with text to image and image to text state of the art models to scale to enable new Customer Experiences WW. You will design, develop, deliver and support a variety of models in collaboration with a variety of roles and partner teams around the world. You will influence scientific direction and best practices and maintain quality on team deliverables. Basic Qualifications: - PhD, or a Master's degree and experience in CS, CE, ML or related field - Experience in building models for business application - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications: - Experience using Unix/Linux - Experience in professional software development Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. 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.", "summaryDescription" : "Applied Scientist, EU INTech Consumer Selection Discovery, EU InTech Consumer Selection Discovery at Amazon Spain Services, S. L. U.. Skills: Machine learning models. Solve highly ambiguous and challenging problems. Work with text to image models", "postedDate" : "2026-06-13T13:47:02.611", "createdAt" : "2026-06-13T13:47:02.611", "lastUpdated" : "2026-06-15T02:20:28.501", "ingestTimestamp" : "2026-06-13T13:47:02.611", "mongoId" : "69fe94fe4c40e2acd11218a0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10414722/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Algorithms", "Data structures", "Machine learning models", "Business application", "Data mining", "Numerical optimization", "Parallel computing", "Distributed computing", "High-performance computing", "Consumer selection discovery", "Catalog and Search", "Ranking", "Computer vision", "Recommendation systems", "Search" ], "skillCount" : 15, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a673274d8ee00a062ed94", "title" : "Sr Scientist, Antibody Discovery", "company" : "Twist Bioscience", "salary" : { "min" : 131000.0, "max" : 142600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "USA - Quincy, MA", "locations" : [ "USA - Quincy", "MA" ], "timestamp" : "2026-06-14T21:49:00.520", "fingerprint" : "c887d793c7b3250c6fc16318d723dc475cfd8c44e2a674c5ee6c731e7bceafe6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/twistbioscience/jobs/7958955", "externalId" : "7958955", "structuredLocations" : [ { "city" : "Quincy", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.2509914,-71.0037374" } ], "locationText" : "Quincy, Massachusetts, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SPR, BLI, aSEC, CIC, HIC, BVP-ELISA, AC-SINS, DLS, nanoDSF, ELISA, SDS-PAGE, HPLC", "professionalSkills" : [ "Antibody characterization", "Biologics characterization", "Assay development", "Data reporting", "Scientific planning", "Feasibility review", "Project scoping", "Data analysis", "Data presentation" ], "hardSkillsList" : [ "Binding affinity determination", "Developability assays", "Target binding characterization", "Protein quantification", "Endotoxin assays", "Epitope binning", "Ligand blocking analysis", "Affinity analysis", "Cell-based functional assays" ], "hardSkills" : [ { "name" : "Binding affinity determination", "level" : "intermediate" }, { "name" : "Developability assays", "level" : "intermediate" }, { "name" : "Target binding characterization", "level" : "intermediate" }, { "name" : "Protein quantification", "level" : "intermediate" }, { "name" : "Endotoxin assays", "level" : "intermediate" }, { "name" : "Epitope binning", "level" : "intermediate" }, { "name" : "Ligand blocking analysis", "level" : "intermediate" }, { "name" : "Affinity analysis", "level" : "intermediate" }, { "name" : "Cell-based functional assays", "level" : "intermediate" } ], "majorSkills" : "Antibody discovery, Antibody characterization, Assay development, SPR, BLI", "majorSkillsList" : [ "Antibody discovery", "Antibody characterization", "Assay development", "SPR", "BLI" ], "coreResponsibilities" : "Analyze workflows, Optimize workflows, Troubleshoot workflows, Guide multiple projects, Ensure scientific excellence, Ensure scientific execution, Determine binding affinity, Perform developability assays, Assist cross-functionally wet lab teams, Assist Project Management team, Assist scientific leaders, Ensure exquisite project execution, Provide guidance assay integration, Provide guidance assay improvement, Provide technical guidance antibody projects, Develop high-throughput ELISA, Develop kinetic assays, Develop developability assays, Develop advanced characterization, Develop custom characterization, Develop functional screening, Serve end-to-end technical lead, Contribute scientific planning, Contribute feasibility review, Review data, Critically analyze data, Present data customers, Communicate timelines, Communicate deliverables, Perform wet-lab benchwork, Develop assays", "teamCollaboration" : "Cross-functional teams; Scientific teams; Wet lab teams; Project Management team; Scientific leaders; Internal stakeholders; External stakeholders; Customers; Manager; Cross-functional team members", "projectManagementSkills" : [ "Project Lead" ], "domainKnowledge" : "Antibody characterization; Biologics characterization; Antibody discovery; In vivo antibody discovery", "domainList" : [ "antibody-characterization", "biologics-characterization", "antibody-discovery", "in-vivo-antibody-discovery" ], "domainSpecificKnowledge" : [ "Antibody characterization", "Biologics characterization", "Antibody discovery", "In vivo antibody discovery" ], "toolProficiency" : [ "Carterra SPR systems", "Octet BLI" ], "communicationSkills" : "Data presentation; Customer-facing communication", "documentationSkills" : "Data reporting", "problemSolvingSkills" : "Troubleshoot scientific processes; Problem-solving mentality", "qualificationsBasic" : "PhD in related technical field, 5+ years biopharmaceutical analytical development, Master's in related technical field, 10+ years biopharmaceutical analytical development, Expert knowledge antibody biologics characterization assays, Extensive hands-on experience Carterra SPR, Extensive hands-on experience Octet BLI, Extensive hands-on experience ELISA, Extensive hands-on experience flow cytometry, Extensive hands-on experience antibody developability characterization, Advanced understanding in vivo antibody discovery concepts, Track record developing assay formats, Track record executing assay formats, Track record analyzing assay formats, High-throughput screening experience, Epitope binning experience, Ligand blocking analysis experience, Affinity analysis experience, Cell-based functional assays experience, Demonstrated capability work autonomously, Prioritizing responsibilities high-pressure setting, Proven ability assess scientific data, Proven ability interpret scientific data, Proven ability present scientific data, Exceptional written communication skills, Exceptional verbal communication skills, External customer-facing communication skills, Highly organized, Detail-oriented, Problem-solving mentality", "qualificationsPreferred" : "Experience high-throughput assays, Troubleshoot scientific processes, Make sound scientific decisions, Accurately analyze data, Accurately report data, Work simultaneously multiple workflows, Prioritizing effectively, Effectively communicate project updates, Effectively communicate project risks, Effectively communicate project progress, Actively participate team meetings, Clearly articulating needs, Clearly articulating concerns, Clearly articulating proposed solutions", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Sr Scientist, Antibody Discovery (onsite in Quincy, MA) Job Description This is an individual contributor role that provides support for bioanalytical characterization for a variety of assays critical for characterizing therapeutic antibody candidates. This role will work closely with our Antibody Characterization and Protein Analytics team at our Quincy, MA location and is responsible for analyzing, optimizing, and troubleshooting a range of workflows, including SPR and BLI affinity analysis, developability assays, flow cytometry, functional assays, and target binding characterization. What You’ll Be Doing: As an individual contributor Senior Scientist, you will support members of multiple scientific teams as a Project Lead, but will not directly manage team members. Guide multiple projects per day to ensure scientific excellence and execution for antibody projects involving binding affinity determination (SPR, BLI) and developability assays (i. e. aSEC, CIC, HIC, BVP-ELISA, AC-SINS, plate-based off-target assays, DLS, and nanoDSF) for a variety of antibody and biologics formats (IgG, VHH, Minibinders, etc.) Assist cross-functionally with the wet lab teams, Project Management team and scientific leaders across multiple sites within the company to ensure exquisite execution of individual projects, while also providing guidance for future assay integration and improvement in the antibody discovery workflow. Provide technical guidance (assay development, analysis, and data reporting) for antibody-based projects in a range of areas, including high-throughput ELISA, flow cytometry, kinetic assays (BLI and SPR), developability assays, advanced/custom characterization, and functional screening. Serve as an end-to-end technical lead for a variety of in vivo antibody discovery programs and contract services, contributing to scientific planning and feasibility review during project scoping. Review, critically analyze, and present data to customers for a variety of concurrent antibody discovery programs. Work closely with the Project Management team to communicate timelines and deliverables to internal and external stakeholders and customers. Spend time performing wet-lab benchwork alongside the team based on workflow and assay development needs. It is anticipated that the role would involve an 80/20 split of analysis vs wet lab time. What You’ll Bring: Strong knowledge of antibody and biologics characterization is required. Previous experience with Carterra SPR systems, Octet BLI, and/or developability assays (HPLC and high throughput plate-based) is required. Further direct experience is expected with ELISA, SDS-PAGE, protein quantification, and endotoxin assays. Experience in high-throughput assays (1,000s of samples) is preferred. Ability to troubleshoot scientific processes, make sound scientific decisions on tight timelines, and accurately analyze and report data with utmost attention to detail. Ability to work simultaneously on multiple workflows, prioritizing effectively. Effectively communicate project updates, risks, and progress to the manager and cross-functional team members in a timely and professional manner. Actively participate in team meetings, clearly articulating needs, concerns, and proposed solutions to drive efficient collaboration. Requirements PhD in a related technical field with 5+ years of experience in biopharmaceutical analytical development or master's in a. related technical field with 10+ years of experience Expert knowledge of antibody biologics characterization assays: extensive hands-on experience required in Carterra SPR, Octet BLI, ELISA, flow cytometry, and antibody developability characterization. Advanced understanding of in vivo antibody discovery concepts. Strong track record of developing, executing, and analyzing common assay formats for antibody discovery, such as high-throughput screening, epitope binning, ligand blocking analysis, affinity analysis, and cell-based functional assays. Demonstrated capability to work autonomously, prioritizing responsibilities within a high-pressure setting characterized by concurrent projects and time-critical workflows. Proven ability to assess, interpret, and present complex scientific data effectively and with a high level of integrity and ethics. Exceptional written and verbal communication skills, including external customer-facing communication. Highly organized and detail-oriented with a focused, problem-solving mentality to address projects and logistics. 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. The base cash compensation for this Massachusetts-based role is below. In addition to base salary, this role is eligible for bonus, equity, and a generous benefits package. Final compensation amounts are determined by multiple factors, including candidate skill, experience, expertise, and location and may vary from the amount listed above. Compensation may be different in other locations. Massachusetts Pay Range $131,000—$142,600 USD", "summaryDescription" : "Sr Scientist, Antibody Discovery at Twist Bioscience. Skills: Antibody discovery, Antibody characterization, Assay development, SPR, BLI. Analyze workflows. Optimize workflows", "postedDate" : "2026-06-11T19:23:01.187", "createdAt" : "2026-06-11T19:23:01.187", "lastUpdated" : "2026-06-14T21:49:00.520", "ingestTimestamp" : "2026-06-11T19:23:01.187", "mongoId" : "6a2a673274d8ee00a062ed94", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 131000, "salaryAnnualMax" : 142600, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Binding affinity determination", "Developability assays", "Target binding characterization", "Protein quantification", "Endotoxin assays", "Epitope binning", "Ligand blocking analysis", "Affinity analysis", "Cell-based functional assays", "Antibody discovery", "Antibody characterization", "Assay development", "SPR", "BLI", "Biologics characterization", "Data reporting", "Scientific planning", "Feasibility review", "Project scoping", "Data analysis", "Data presentation", "Project Lead", "In vivo antibody discovery", "Carterra SPR systems", "Octet BLI" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "research-&-development", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a254f8d74d8ee00a013e7c2", "title" : "Senior Data Scientist", "company" : "Strategic Systems International", "industry" : "Technology", "salary" : { "min" : 4500000.0, "max" : 7500000.0, "currency" : "PKR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Data Scientist in Lahore, Pakistan, adjusted for technology industry and senior experience level." }, "location" : "Lahore, PK", "locations" : [ "Lahore", "PK" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T22:28:55.480", "fingerprint" : "e74c7c70de53faefa11afc1cd7320bde2532a4e93d58e3159c9924e76cafd46f", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://strategic-systems-international.breezy.hr/p/a9f9b262f95a-senior-data-scientist", "externalId" : "a9f9b262f95a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Lahore", "country" : "Pakistan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "31.5656822,74.3141829" } ], "locationText" : "Lahore, Pakistan", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, SQL, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Modelling skills" ], "hardSkillsList" : [ "Statistical methods", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical methods", "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" : "Machine Learning, AI, Data Science", "majorSkillsList" : [ "Machine Learning", "AI", "Data Science" ], "coreResponsibilities" : "Lead end-to-end development of AI/ML solutions, Solve complex business challenges, Deliver measurable outcomes, Manage complete data science lifecycle", "toolProficiency" : [ "Dbt", "Fivetran", "Airflow", "Dbt Cloud", "MLflow" ], "outcomesObjectives" : "Deliver measurable outcomes", "qualificationsBasic" : "5+ years Python, SQL proficiency", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification preferred, AWS Data Analytics certification preferred, Databricks Certified certification preferred, Dbt Certified certification preferred", "rawDescription" : "PURPOSE: We are looking for a highly experienced Senior Data Scientist to lead the end-to-end development of AI and Machine Learning solutions that solve complex business challenges and deliver measurable outcomes. The ideal candidate will be responsible for the complete data science lifecycle, inc", "summaryDescription" : "Senior Data Scientist at Strategic Systems International. Skills: Machine Learning, AI, Data Science. Lead end-to-end development of AI/ML solutions. Solve complex business challenges", "createdAt" : "2026-06-14T19:42:02.922", "lastUpdated" : "2026-06-15T22:28:55.480", "ingestTimestamp" : "2026-06-14T19:42:02.922", "mongoId" : "6a254f8d74d8ee00a013e7c2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical methods", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Machine Learning", "AI", "Data Science", "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Modelling skills", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt", "Fivetran", "Airflow", "Dbt Cloud", "MLflow" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a194db058b93c861e46ee8c", "title" : "Senior Data Scientist", "company" : "ONYX Insight", "industry" : "Manufacturing", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Scientist in Nottingham, UK, adjusted for the technology industry and contract employment type." }, "location" : "Nottingham, GB", "locations" : [ "Nottingham", "GB" ], "timestamp" : "2026-06-16T06:14:21.181", "fingerprint" : "c2c336b0212c2bc47e731af53dfb51b105d491b8aac74a17e22115200a5eb7cd", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://onyx-insight.breezy.hr/p/b57a66432e1c01-senior-data-scientist", "externalId" : "b57a66432e1c01", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Nottingham", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.9534193,-1.1496461" } ], "locationText" : "Nottingham, United Kingdom", "employmentType" : "CONTRACT", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, AI, Machine Learning", "professionalSkills" : [ "Predictive maintenance", "Condition monitoring" ], "hardSkillsList" : [ "Data science", "AI-driven solutions" ], "hardSkills" : [ { "name" : "Data science", "level" : "intermediate" }, { "name" : "AI-driven solutions", "level" : "intermediate" } ], "majorSkills" : "Data science, AI, Machine Learning", "majorSkillsList" : [ "Data science", "AI", "Machine Learning" ], "coreResponsibilities" : "Advance AI-driven solutions, Develop predictive maintenance models, Monitor wind-turbine fleets", "domainKnowledge" : "Wind-turbine fleets", "domainList" : [ "wind-turbine-fleets" ], "domainSpecificKnowledge" : [ "Wind-turbine fleets" ], "qualificationsBasic" : "6-month contract", "workSiteFlexibility" : "Onsite", "rawDescription" : "ONYX Insight is looking for a Senior Data Scientist to join our Advanced Analytics team on a 6‑month contract. 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