{ "count" : 14533, "data" : [ { "id" : "69dde45b2beec4dd3d9a3f20", "title" : "Research Associate II - Translational Pediatric Oncology", "company" : "City of Hope", "industry" : "Healthcare", "salary" : { "min" : 65000.0, "max" : 95000.0, "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 company size." }, "location" : "United States-California-Duarte", "locations" : [ "United States-California-Duarte", "Research", "Onsite, Days, Days" ], "timestamp" : "2026-06-16T06:24:52.465", "fingerprint" : "3d58bb39d151df5a66b2cca70e098c4699c7d2b9a405bff3972153f96becad5b", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa067.taleo.net/careersection/ex/jobdetail.ftl?job=148861", "externalId" : "148861", "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", "technicalSkills" : "Cell culture, Molecular biology, Flow cytometry, CRISPR, Bioinformatics", "professionalSkills" : [ "Scientific writing", "Data analysis", "Experimental design" ], "hardSkillsList" : [ "Cell culture techniques", "Molecular biology techniques", "Flow cytometry analysis", "Animal model handling", "Statistical analysis" ], "hardSkills" : [ { "name" : "Cell culture techniques", "level" : "intermediate" }, { "name" : "Molecular biology techniques", "level" : "intermediate" }, { "name" : "Flow cytometry analysis", "level" : "intermediate" }, { "name" : "Animal model handling", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" } ], "majorSkills" : "Translational research, Pediatric oncology, Molecular biology", "majorSkillsList" : [ "Translational research", "Pediatric oncology", "Molecular biology" ], "coreResponsibilities" : "Conduct experiments, Maintain cell cultures, Perform molecular biology assays, Analyze flow cytometry data, Handle animal models, Analyze experimental data, Document research findings, Write scientific reports, Present research findings, Collaborate with research team", "teamCollaboration" : "Research team; Cross-functional teams", "domainKnowledge" : "Pediatric oncology; Translational research; Cancer biology", "domainList" : [ "pediatric-oncology", "translational-research", "cancer-biology" ], "domainSpecificKnowledge" : [ "Pediatric oncology", "Translational research", "Cancer biology" ], "toolProficiency" : [ "Flow cytometry software", "Bioinformatics tools" ], "communicationSkills" : "Scientific writing; Research presentations", "documentationSkills" : "Research documentation; Scientific writing", "continuousLearning" : "Attend scientific conferences; Read scientific literature", "problemSolvingSkills" : "Experimental troubleshooting; Data interpretation", "outcomesObjectives" : "Advance pediatric oncology research; Publish research findings; Contribute to new therapies", "qualificationsBasic" : "Bachelor's degree in a relevant scientific discipline, 3+ years of experience in a research setting, Experience with cell culture techniques, Experience with molecular biology techniques, Experience with flow cytometry, Experience with animal models, Experience with data analysis, Experience with scientific writing", "qualificationsPreferred" : "Master's degree or PhD, Experience in pediatric oncology research, Experience with CRISPR technology, Experience with bioinformatics tools, Experience with grant writing", "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 Research Associate II position is available in the laboratory of Leo D. Wang, MD, PhD , at City of Hope, Duarte, CA. The lab’s research in the Department of Immuno-Oncology focuses on how blood and immune cells develop, function, and interact with other cells, with a second focus on how blood stem cells become malignant. We use mass spectrometry to identify activated protein circuits in rare blood stem and progenitor cell populations, including therapeutic chimeric antigen receptor (CAR) T cells, and use that knowledge to improve and devise new therapies for pediatric cancers and blood disorders. As a successful candidate, you will: Coordinate lab tasks and operations, including ordering, inventory, and other essential functions. Prepare laboratory reagents, chemicals, instruments, and maintain equipment. Perform a variety of routine and non-routine laboratory research experiments. Record and validate results and methodology for accuracy and completeness. Perform preclinical rodent work (mouse handling, screening, injections, and analysis). Troubleshoot procedures if experiment results are unexpected or unsatisfactory. Recommend alternative procedures. Calculate, compile and analyze data obtained from work performed. Independently evaluate research data and initiate alternative approaches to improve the quality of results by providing input to overall research design. Train lab staff in specialized procedures, equipment and theoretical concepts behind unique tests. Keep detailed and accurate logs of experiments from conception to analysis, as well as of lab inventory and animal colonies. May contribute to the preparation of manuscripts by describing methods and specialized techniques. There may be some travel to local area research labs for collaborations, trainings, & operational expansion. Your qualifications should include: Bachelor’s degree. Master’s degree preferred. Two years related research/ laboratory experience with a Bachelor’s degree or one year related research/ laboratory experience with a Master’s degree. Preferred qualifications: Hands-on experience with flow cytometry, molecular biology, and cell culture is preferred. Computational skills (R, Python) are beneficial. Experience with animal husbandry also a plus. 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 - Translational Pediatric Oncology at City of Hope. Skills: Translational research, Pediatric oncology, Molecular biology. Conduct experiments. Maintain cell cultures", "createdAt" : "2026-06-14T19:48:39.334", "lastUpdated" : "2026-06-16T06:24:52.465", "ingestTimestamp" : "2026-06-14T19:48:39.334", "mongoId" : "69dde45b2beec4dd3d9a3f20", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryAnnualMax" : 95000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Cell culture techniques", "Molecular biology techniques", "Flow cytometry analysis", "Animal model handling", "Statistical analysis", "Translational research", "Pediatric oncology", "Molecular biology", "Scientific writing", "Data analysis", "Experimental design", "Cancer biology", "Flow cytometry software", "Bioinformatics tools" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.6666667, "_score" : 977.2699, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "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 . 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Mirai was built to solve one of the field’s central challenges: achieving precise, scalable delivery of diverse nucleic acid payloads to specific cells and tissues, particularly beyond the liver. By combining a large and growing proprietary in vivo biodistribution dataset, machine learning-guided lipid nanoparticle optimization, modular targeted particle design, and integrated translation and manufacturing capabilities, Mirai helps partners accelerate development, reduce technical risk, and pursue high-value programs making delivery a strategic advantage. We are seeking collaborative, relentless problem solvers that share our passion for defining the future of genetic medicines together. THE ROLE The Senior Research Associate will be part of the Platform Group at Mirai and will support laboratory research activities towards development of novel technologies enabling next generation genomic medicines. The successful candidate will have a strong understanding of the technical and equipment needs in a lab as well as significant hands-on experience with standard and cell culturing and in vitro cell biology techniques. They will work independently and as part of a collaborative team. KEY RESPONSIBILITIES Independently perform experiments related to in vivo and in vitro LNP using lab techniques that include flow cytometry, mammalian cell culture, mouse and NHP sample processing, cell isolation, ELISAs, plate-based reporter assays, cell killing assays, transfection, and protein binding assays Develop new in vitro bio-assays or optimize existing ones based on in-depth knowledge of laboratory techniques Analyze and accurately document assay results in an electronic lab notebook or other technical reporting formats PROFESSIONAL EXPERIENCE & QUALIFICATIONS M. S. or B. S. in Biology, Biochemistry, Molecular Biology, or related field with 3+ years (M.S.) or 5+ years(B.S.) of relevant experience Previous experience with immune cell isolation and flow cytometry characterization is required Comfort with handling and processing NHP & Mouse tissue samples Strong primary and cell line culture experience, including experience executing protocols, troubleshooting assays, and carrying out literature searches for method evaluation and refinement Knowledge of immunology, experience working with LNPs, and familiarity with performing BLI on octet instruments is a plus Proven ability to work independently and cross-functionally with highly skilled teams in a fast-paced, entrepreneurial, and technical environment Strong organizational and problem-solving skills Motivated, curious, and comfortable working with highly technical projects and personnel Excellent communication and presentation skills, capable of conveying technical information in a clear and thorough manner Comfortable delivering against challenging commitments WHAT WE VALUE Scientific rigor and attention to data quality and reproducibility Curiosity and a problem-solving mindset Ability to work both independently and collaboratively in a fast-paced environment Clear and concise communication across disciplines Ownership and accountability in driving projects forward LOCATION: Cambridge, MA ABOUT FLAGSHIP PIONEERING: Flagship Pioneering invents and builds platform companies, each with the potential for multiple products that transform human health, sustainability and beyond. Since its launch in 2000, Flagship has originated more than 100 companies. Many of these companies have addressed humanity’s most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture. Flagship has been recognized twice on FORTUNE’s “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies and has been twice named to Fast Company’s annual list of the World’s Most Innovative Companies. Learn more about Flagship at www.flagshippioneering.com. At Flagship, we accept impossible missions to enable bigger leaps. Our core values guide us through uncertainty and toward lasting impact. We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. We recognize that great candidates often bring unique strengths without fulfilling every qualification. If you have some of the experience listed above but not all, please apply anyway. We are dedicated to building diverse and inclusive teams and look forward to learning more about your background and interest in Flagship. Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto. #LI-TL1 The salary range for this role is $81,000 - $107,300. Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. Mirai Bio currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Mirai Bio's good faith estimate as of the date of publication and may be modified in the future. Privacy Notice for Applicants: When you apply for a role at Mirai Bio, Inc., a Flagship Pioneering portfolio company, we collect and use personal information you provide (such as your name, contact details, work history, and application materials) to evaluate your application, communicate with you, and comply with legal obligations. Your application data is processed through Greenhouse, our applicant tracking system, and may also be reviewed using AI-assisted screening tools. We do not sell your personal information. California residents have rights under the CCPA/CPRA including to know, delete, and opt out of the sharing of their personal information. If you are located in the EU or UK, we process your data under GDPR and you have rights to access, rectify, and erase your data. To exercise your rights or for questions, contact privacy@flagshippioneering.com.", "summaryDescription" : "Senior Research Associate, Translational at Mirai Bio, Inc.. Skills: Translational research, Genetic medicines, In vitro bio-assays. Perform experiments. 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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. 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, "_score" : 946.3044, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "69dde45c2beec4dd3d9a3fa6", "title" : "Staff Scientist – Extracellular Vesicle and T Cell Research", "company" : "Beckman Research Institute", "industry" : "Biotech", "salary" : { "min" : 125000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Staff Scientist in Biotech in Duarte, CA, adjusted for 2+ years of experience." }, "location" : "United States-California-Duarte", "locations" : [ "United States-California-Duarte", "Research", "Onsite, Days, Days" ], "timestamp" : "2026-06-16T05:08:31.900", "fingerprint" : "11675ee73f288b5c7a3b1a890df7edee93458ebf41178df8163fbae9114efe48", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa067.taleo.net/careersection/ex/jobdetail.ftl?job=144801", "externalId" : "144801", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Duarte", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.1394513,-117.9772873" } ], "locationText" : "Duarte, California, United States", "minimumEducation" : "PhD", "experienceMinYears" : 2, "technicalSkills" : "Python, R, SQL, Cloud platforms, Data warehousing", "professionalSkills" : [ "Computational biology", "Bioinformatics", "Data visualization" ], "hardSkillsList" : [ "Extracellular vesicle research", "T cell immunology", "Single-cell sequencing", "Flow cytometry", "Mass cytometry", "Machine learning", "Statistical analysis" ], "hardSkills" : [ { "name" : "Extracellular vesicle research", "level" : "intermediate" }, { "name" : "T cell immunology", "level" : "intermediate" }, { "name" : "Single-cell sequencing", "level" : "intermediate" }, { "name" : "Flow cytometry", "level" : "intermediate" }, { "name" : "Mass cytometry", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" } ], "majorSkills" : "Extracellular vesicles, T cell immunology, Single-cell sequencing", "majorSkillsList" : [ "Extracellular vesicles", "T cell immunology", "Single-cell sequencing" ], "coreResponsibilities" : "Design and execute experiments, Analyze and interpret data, Develop and implement computational methods, Collaborate with research teams, Present findings at meetings, Contribute to publications", "teamCollaboration" : "Research teams", "domainKnowledge" : "Extracellular vesicles; T cell immunology; Single-cell sequencing; Flow cytometry; Mass cytometry; Bioinformatics; Computational biology", "domainList" : [ "extracellular-vesicles", "t-cell-immunology", "single-cell-sequencing", "flow-cytometry", "mass-cytometry", "bioinformatics", "computational-biology" ], "domainSpecificKnowledge" : [ "Extracellular vesicles", "T cell immunology", "Single-cell sequencing", "Flow cytometry", "Mass cytometry", "Bioinformatics", "Computational biology" ], "problemSolvingSkills" : "Data analysis; Computational methods", "qualificationsBasic" : "2+ years experience, PhD required", "qualificationsPreferred" : "Experience with extracellular vesicles, Experience with T cell immunology, Experience with single-cell sequencing, Experience with flow cytometry, Experience with mass cytometry, Experience with bioinformatics, Experience with computational biology, Experience with machine learning, Experience with statistical analysis, Experience with data visualization, Experience with Python, Experience with R, Experience with SQL, Experience with cloud platforms, Experience with data warehousing", "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. 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. Analyze and interpret data", "createdAt" : "2026-06-14T19:48:13.099", "lastUpdated" : "2026-06-16T05:08:31.900", "ingestTimestamp" : "2026-06-14T19:48:13.099", "mongoId" : "69dde45c2beec4dd3d9a3fa6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 125000, "salaryAnnualMax" : 175000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Extracellular vesicle research", "T cell immunology", "Single-cell sequencing", "Flow cytometry", "Mass cytometry", "Machine learning", "Statistical analysis", "Extracellular vesicles", "Computational biology", "Bioinformatics", "Data visualization" ], "skillCount" : 11, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "_score" : 870.0691, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7ae874d8ee00a09475c2", "title" : "Production Manager, Cell Manufacturing", "company" : "Gotion, Inc.", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Production Manager in Cell Manufacturing in Manteno, IL, adjusted for manager seniority and the manufacturing industry." }, "location" : "Manteno, Illinois, United States", "locations" : [ "Manteno", "Illinois", "United States" ], "timestamp" : "2026-06-16T01:47:48.396", "fingerprint" : "82482a05fc0e20d63e2c0281f3a2e78120386136b488684c333284f702d274a5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/gotion/jobs/8399218002", "externalId" : "8399218002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Manteno", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.2501677,-87.8326423" } ], "locationText" : "Manteno, Illinois, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "remoteFriendly" : false, "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. Job Summary: Gotion Inc., a leading innovator in battery cell manufacturing, is seeking an experienced and results-oriented Cell Production Manager to oversee our production operations in Manteno, IL. The ideal candidate will leverage their expertise in manufacturing production management to drive operational excellence, ensure product quality, and achieve production goals. This role requires strong leadership, technical knowledge, and a commitment to safety and efficiency. Key Responsibilities: Production & Shop-floor Management: Develop and implement production plans to meet deadlines and production targets. Monitor and manage production progress, quality metrics, and costs to improve overall efficiency. Implement and maintain 5S standards and Visual Management systems to ensure a clean, organized, and transparent work environment. Conduct daily Gemba walks to identify and resolve floor-level bottlenecks in real-time. Optimize workflows through lean manufacturing practices and reduce production waste. Equipment and Process Oversight: Oversee the maintenance and operation of production equipment to ensure consistent performance. Drive continuous improvement initiatives and implement smart manufacturing techniques where applicable. Team Leadership: Build, train, and manage a high-performing production team. Evaluate team performance regularly and foster a collaborative work environment. Manage labor relations and conflict resolution effectively within a diverse workforce Collaboration and Coordination: Collaborate with R&D, Quality, and Procurement teams to support new product launches and stabilize production processes. Ensure compliance with ISO9001, ISO14001, and other quality management standards. Safety and Reporting: Enforce safety regulations to maintain a safe working environment. Prepare detailed production reports, analyze data, and provide actionable insights to management. Qualifications: Education & Background: Bachelor’s degree or above in Industrial Engineering, Mechanical Engineering, Automation, or related fields. Work Experience: Minimum 5 years of experience in manufacturing production management. At least 3 years in a managerial role, preferably in large-scale production environments. Hands-on experience with lean manufacturing, Six Sigma, or similar methodologies is preferred. Technical Skills: Comprehensive understanding of manufacturing processes, production techniques, and equipment management. Strong capabilities in production planning, cost control, quality assurance, and efficiency improvement. Familiarity with ERP systems and production management software (e.g., SAP, MES) Soft Skills: Exceptional leadership, communication, and team management abilities. Analytical mindset with the ability to make data-driven decisions. High level of responsibility and resilience in a fast-paced environment. Resilience and the ability to lead a team through high-pressure production ramps and process stabilization. The U. S. base salary range for this full-time position is $100,000.00 - $150,000.00, plus eligibility for bonus and benefits. Our salary ranges are determined by factors such as the role, level, and geographic location. The range listed in the job posting represents the minimum and maximum target salaries for this position across all U. S. locations. Actual compensation within the range will be influenced by the specific work location, along with factors such as job-related skills, experience, and relevant education or training. Your recruiter will provide more details about the specific salary range for your preferred location during the hiring process. Please note that the listed compensation reflects the base salary only and does not include bonus or benefits. 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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"Technology", "salary" : { "min" : 220000.0, "max" : 330000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior People Research Scientist in San Francisco, adjusted for the technology industry and company size." }, "location" : "San Francisco, California, United States", "locations" : [ "San Francisco", "California", "United States" ], "timestamp" : "2026-06-16T09:58:55.998", "fingerprint" : "46bb18bb03bbfeef8465971aad30c5c61618c2c7172f5f80407b1f635e59dce2", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/anthropic/jobs/5257820008", "externalId" : "5257820008", "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", "technicalSkills" : "SQL, Python, R, Machine learning, Data visualization", "professionalSkills" : [ "Research design", "Scientific inquiry", "Hypothesis testing", "Longitudinal research", "Causal inference", "Meta-analyses", "Psychometric methods", "Measurement reliability", "Manager effectiveness", "Organizational dynamics", "Performance outcomes", "Data storytelling" ], "hardSkillsList" : [ "Experimental design", "Quasi-experimental methods", "Statistical analysis", "Machine learning", "Survey design", "Psychometric methods", "Data visualization" ], "softSkillsList" : [ "Communication skills", "Intellectual humility" ], "hardSkills" : [ { "name" : "Experimental design", "level" : "intermediate" }, { "name" : "Quasi-experimental methods", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Survey design", "level" : "intermediate" }, { "name" : "Psychometric methods", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Communication skills" }, { "name" : "Intellectual humility" } ], "majorSkills" : "Organizational science, Behavioral research, People analytics, Quantitative research", "majorSkillsList" : [ "Organizational science", "Behavioral research", "People analytics", "Quantitative research" ], "coreResponsibilities" : "Design systematic research studies, Execute systematic research studies, Answer questions about employee experience, Answer questions about manager effectiveness, Answer questions about organizational health, Generate hypotheses about people programs, Generate hypotheses about employee behavior, Generate hypotheses about workforce outcomes, Test hypotheses about people programs, Test hypotheses about employee behavior, Test hypotheses about workforce outcomes, Conduct longitudinal studies, Track employee cohorts, Understand workforce trends, Understand impact of people initiatives, Perform meta-analyses of people interventions, Identify best practices, Identify knowledge gaps, Navigate research ethics, Ensure responsible research practices, Design employee listening programs, Analyze employee listening programs, Iterate on employee listening programs, Design engagement surveys, Design pulse surveys, Design lifecycle surveys, Apply psychometric methods, Validate survey instruments, Ensure measurement reliability, Translate survey findings, Drive organizational change, Conduct research on manager behaviors, Conduct research on manager competencies, Study impact on team outcomes, Build measurement frameworks, Evaluate manager effectiveness programs, Improve manager effectiveness programs, Study organizational dynamics, Study team composition, Study collaboration patterns, Study relationship to performance, Build compelling visualizations, Build dashboards, Make research findings accessible, Present research findings to senior leadership, Provide clear recommendations, Provide actionable recommendations, Develop self-service analytics capabilities, Empower People team partners", "teamCollaboration" : "Collaborate with data engineers; Empower People team partners", "domainKnowledge" : "Organizational science; Behavioral science; People strategy; Workforce dynamics; Employee experience; Manager effectiveness; Organizational health; People programs; Employee behavior; Workforce outcomes; People initiatives; Employee listening; Engagement surveys; Pulse surveys; Lifecycle surveys; Survey instruments; Manager behaviors; Team outcomes; Team composition; Collaboration patterns; Performance outcomes; People analytics; Employee lifecycle metrics; People KPIs; AI/ML organizations", "domainList" : [ "organizational-science", "behavioral-science", "people-strategy", "workforce-dynamics", "employee-experience", "manager-effectiveness", "organizational-health", "people-programs", "employee-behavior", "workforce-outcomes", "people-initiatives", "employee-listening", "engagement-surveys", "pulse-surveys", "lifecycle-surveys", "survey-instruments", "manager-behaviors", "team-outcomes", "team-composition", "collaboration-patterns", "performance-outcomes", "people-analytics", "employee-lifecycle-metrics", "people-kpis", "ai-ml-organizations" ], "domainSpecificKnowledge" : [ "Organizational science", "Behavioral science", "People strategy", "Workforce dynamics", "Employee experience", "Manager effectiveness", "Organizational health", "People programs", "Employee behavior", "Workforce outcomes", "People initiatives", "Employee listening", "Engagement surveys", "Pulse surveys", "Lifecycle surveys", "Survey instruments", "Manager behaviors", "Team outcomes", "Team composition", "Collaboration patterns", "Performance outcomes", "People analytics", "Employee lifecycle metrics", "People KPIs", "AI/ML organizations" ], "toolProficiency" : [ "Qualtrics", "Workday", "BigQuery" ], "communicationSkills" : "Tell compelling stories; Executive presentations", "problemSolvingSkills" : "Analytical rigor; Iterative discovery", "outcomesObjectives" : "Drive evidence-based people decisions; Advance understanding of employee experience; Advance understanding of manager effectiveness; Advance understanding of organizational health; Advance understanding of workforce dynamics; Drive meaningful organizational change", "qualificationsBasic" : "Advanced degree (Master's or PhD), I/O Psychology, Organizational Behavior, Statistics, Data Science, Economics, Behavioral Science, or related field, Experience with experimental design, Experience with hypothesis testing, Experience with longitudinal research methods, Experience with causal inference, Proficient in SQL, Proficient in Python/R, Experience with statistical analysis, Experience with machine learning, Experience with survey design, Experience with psychometric methods, Experience with employee listening programs, Experience with data visualization, Excellent communication skills, Ability to influence stakeholders, Thrive in ambiguity, Balance rigor with pragmatism, Challenge assumptions with data, Change long-held practices, Navigate sensitive topics diplomatically, Maintain analytical rigor, Demonstrate intellectual humility, Comfort with iterative discovery, Use data to improve people development", "qualificationsPreferred" : "5+ years of experience in research, 5+ years of experience in people analytics, 5+ years of experience in related quantitative fields, Demonstrated research methodology expertise, Background in people analytics, Experience designing employee engagement surveys, Experience analyzing employee engagement surveys, Experience designing pulse surveys, Experience analyzing pulse surveys, Deep knowledge of manager effectiveness research, Deep knowledge of organizational science, Experience building self-service analytics tools, Experience building dashboards, Understanding of employee lifecycle metrics, Understanding of people KPIs, Experience in high-growth technology companies, Experience in AI/ML organizations, Familiarity with network analysis, Familiarity with NLP, Familiarity with advanced statistical methods, Experience with BigQuery, Experience with modern data stack tools, Experience with Qualtrics, Experience with Workday", "workSiteFlexibility" : "Onsite", "rawDescription" : "About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: We are seeking a People Research Scientist to join our People Data Solutions team. You’ll be the research expert supporting our broader People organization, using rigorous scientific methods to advance our understanding of the employee experience, manager effectiveness, organizational health, and workforce dynamics. This role sits at the intersection of organizational science, behavioral research, and people strategy – developing novel frameworks and conducting systematic research that drives evidence-based people decisions across our growing organization. This role offers the opportunity to make a significant impact on both our people practices and the broader field of people science at a leading AI safety company. Responsibilities: Research Design & Scientific Inquiry Design and execute systematic research studies to answer fundamental questions about employee experience, manager effectiveness, and organizational health Generate and test hypotheses about people programs, employee behavior, and workforce outcomes using rigorous experimental and quasi-experimental methods Conduct longitudinal studies tracking employee cohorts to understand long-term workforce trends and the impact of people initiatives Perform meta-analyses of people interventions across the industry to identify best practices and knowledge gaps Navigate research ethics considerations when studying employee data, ensuring responsible research practices Employee listening & survey research Design, analyze, and iterate on employee listening programs including engagement surveys, pulse surveys, and lifecycle surveys Apply psychometric methods to validate survey instruments and ensure measurement reliability Translate survey findings into strategic recommendations that drive meaningful organizational change Manager research & organizational effectiveness Conduct research on manager behaviors, competencies, and their impact on team outcomes Build measurement frameworks to evaluate and improve manager effectiveness programs Study organizational dynamics including team composition, collaboration patterns, and their relationship to performance outcomes Visualization & communication Build compelling visualizations and dashboards that make complex research findings accessible to diverse audiences Present research findings to senior leadership with clear, actionable recommendations Develop self-service analytics capabilities that empower People team partners Minimum Qualifications: Hold an advanced degree (Master’s or PhD) in I/O Psychology, Organizational Behavior, Statistics, Data Science, Economics, Behavioral Science, or a related research field Have experience with experimental design, hypothesis testing, longitudinal research methods, and causal inference Are comfortable working in the People Analytics tech stack and collaborating with data engineers Are proficient in SQL and Python/R, with experience in statistical analysis and machine learning Have experience with survey design, psychometric methods, and employee listening programs Have experience with data visualization and can tell compelling stories with research findings Possess excellent communication skills and can influence stakeholders at all levels Thrive in ambiguity and can balance rigor with pragmatism Have a track record of challenging assumptions with data and changing long-held practices Can navigate sensitive topics diplomatically while maintaining analytical rigor Demonstrate intellectual humility and comfort with iterative discovery Use data to improve how organizations develop and support their people Preferred Qualifications: 5+ years of experience in research, people analytics, or related quantitative fields with demonstrated research methodology expertise Background in people analytics specifically (not just general analytics) Experience designing and analyzing employee engagement or pulse surveys Deep knowledge of manager effectiveness research and organizational science Experience building self-service analytics tools or dashboards Understanding of employee lifecycle metrics and people KPIs Previous experience in high-growth technology companies or AI/ML organizations Familiarity with network analysis, NLP, or advanced statistical methods Experience with BigQuery and modern data stack tools Experience with Qualtrics Experience with Workday The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $275,000—$370,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.", "summaryDescription" : "People Research Scientist at Anthropic. Skills: Organizational science, Behavioral research, People analytics, Quantitative research. Design systematic research studies. Execute systematic research studies", "postedDate" : "2026-06-16T01:17:39.803", "createdAt" : "2026-06-16T01:17:39.803", "lastUpdated" : "2026-06-16T09:58:55.998", "ingestTimestamp" : "2026-06-16T01:17:39.803", "mongoId" : "6a307a81f292fd229c03ce21", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 330000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Experimental design", "Quasi-experimental methods", "Statistical analysis", "Machine learning", "Survey design", "Psychometric methods", "Data visualization", "Communication skills", "Intellectual humility", "Organizational science", "Behavioral research", "People analytics", "Quantitative research", "Research design", "Scientific inquiry", "Hypothesis testing", "Longitudinal research", "Causal inference", "Meta-analyses", "Measurement reliability", "Manager effectiveness", "Organizational dynamics", "Performance outcomes", "Data storytelling", "Behavioral science", "People strategy", "Workforce dynamics", "Employee experience", "Organizational health", "People programs", "Employee behavior", "Workforce outcomes", "People initiatives", "Employee listening", "Engagement surveys", "Pulse surveys", "Lifecycle surveys", "Survey instruments", "Manager behaviors", "Team outcomes", "Team composition", "Collaboration patterns", "Employee lifecycle metrics", "People KPIs", "AI/ML organizations", "Qualtrics", "Workday", "BigQuery" ], "skillCount" : 48, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 828.1494, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307a81f292fd229c03ce22", "title" : "People Research Scientist", "company" : "Anthropic", "industry" : "Technology", "salary" : { "min" : 225000.0, "max" : 325000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Senior People Research Scientist in San Francisco, adjusted for the technology industry and a large company size." }, "location" : "San Francisco, California, United States", "locations" : [ "San Francisco", "California", "United States" ], "timestamp" : "2026-06-16T14:08:14.048", "fingerprint" : "5b265f3fe76245eb0577944f275598fdf0e9ff28c1aa54bd992936d7e522ba69", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/anthropic/jobs/5257763008", "externalId" : "5257763008", "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", "technicalSkills" : "SQL, Python, R, Machine learning", "professionalSkills" : [ "Scientific inquiry", "Selection research", "Assessment validation", "Psychometrics", "Recruiting funnel analytics", "Mixed-method research", "Metrics design", "Analytical solution building", "Data visualization", "Research ethics" ], "hardSkillsList" : [ "Statistical analysis", "Machine learning", "Experimental methods", "Quasi-experimental methods", "Psychometric techniques", "Metrics framework design", "Data governance", "Scenario planning", "Strategic planning" ], "softSkillsList" : [ "Intellectual humility" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Experimental methods", "level" : "intermediate" }, { "name" : "Quasi-experimental methods", "level" : "intermediate" }, { "name" : "Psychometric techniques", "level" : "intermediate" }, { "name" : "Metrics framework design", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Scenario planning", "level" : "intermediate" }, { "name" : "Strategic planning", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Intellectual humility" } ], "majorSkills" : "Recruiting analytics, People analytics, Organizational science, Behavioral research", "majorSkillsList" : [ "Recruiting analytics", "People analytics", "Organizational science", "Behavioral research" ], "coreResponsibilities" : "Design research studies, Execute research studies, Answer questions about recruiting funnel health, Answer questions about assessment quality, Answer questions about candidate experience, Answer questions about quality of hire, Generate hypotheses about sourcing strategies, Test hypotheses about sourcing strategies, Generate hypotheses about interview design, Test hypotheses about interview design, Generate hypotheses about selection decisions, Test hypotheses about selection decisions, Conduct mixed-method research, Understand drivers of recruiting operations, Understand blockers of recruiting operations, Navigate research ethics, Design validation studies, Execute validation studies, Assess quality of interviews, Assess quality of selection tools, Utilize psychometric techniques, Analyze interviewer calibration, Improve interviewer calibration, Analyze rating consistency, Improve rating consistency, Lead investigative research, Design metrics framework, Define canonical KPIs, Define dimensions for KPIs, Define definitions for KPIs, Establish governance for metrics, Establish definitional rigor for metrics, Architect analytical solutions, Convert research insights into products, Empower stakeholders, Quantify adoption of deployed tools, Quantify downstream impact of deployed tools, Drive iterative improvements, Build compelling visualizations, Build dashboards, Make research findings accessible, Present research findings to senior leadership, Provide actionable recommendations", "teamCollaboration" : "Collaborating with data engineers; Collaborating with stakeholders; Present research findings", "domainKnowledge" : "Organizational science; Behavioral research; People strategy; Recruiting funnels; Interview effectiveness; Candidate experience; Recruiting capacity; Quality of hire; Sourcing strategies; Interview design; Selection decisions; Recruiting operations; Candidate data; Selection tools; Interviewer calibration; Rating consistency; Candidate assessment; Funnel performance; Hiring quality; People Analytics; AI safety", "domainList" : [ "organizational-science", "behavioral-research", "people-strategy", "recruiting-funnels", "interview-effectiveness", "candidate-experience", "recruiting-capacity", "quality-of-hire", "sourcing-strategies", "interview-design", "selection-decisions", "recruiting-operations", "candidate-data", "selection-tools", "interviewer-calibration", "rating-consistency", "candidate-assessment", "funnel-performance", "hiring-quality", "people-analytics", "ai-safety" ], "domainSpecificKnowledge" : [ "Organizational science", "Behavioral research", "People strategy", "Recruiting funnels", "Interview effectiveness", "Candidate experience", "Recruiting capacity", "Quality of hire", "Sourcing strategies", "Interview design", "Selection decisions", "Recruiting operations", "Candidate data", "Selection tools", "Interviewer calibration", "Rating consistency", "Candidate assessment", "Funnel performance", "Hiring quality", "People Analytics", "AI safety" ], "toolProficiency" : [ "Greenhouse", "Gem", "ModernLoop" ], "communicationSkills" : "Tell compelling stories; Clear recommendations", "problemSolvingSkills" : "Challenge assumptions with data; Balance rigor with pragmatism", "outcomesObjectives" : "Advance understanding of recruiting funnels; Advance understanding of interview effectiveness; Advance understanding of candidate experience; Advance understanding of recruiting capacity; Drive evidence-based people decisions; Improve interviewer calibration; Improve rating consistency; Drive iterative improvements", "qualificationsBasic" : "Advanced degree (Master's or PhD), Experience with selection research, Experience with assessment validation, Experience with psychometrics, Experience with recruiting funnel analytics, Comfortable working in People Analytics tech stack, Proficient in SQL, Proficient in Python/R, Experience in statistical analysis, Experience in machine learning, Experience with data visualization, Excellent communication skills, Ability to influence stakeholders, Thrive in ambiguity, Balance rigor with pragmatism, Challenge assumptions with data, Change long-held practices, Navigate sensitive topics diplomatically, Maintain analytical rigor, Demonstrate intellectual humility, Comfort with iterative discovery, Use data to improve hiring", "qualificationsPreferred" : "5+ years of experience, Background in recruiting analytics, Experience running interview validation studies, Experience running assessment validation studies, Experience building self-service analytics tools, Experience building dashboards, Previous experience in high-growth tech companies, Previous experience in AI/ML organizations, Familiarity with network analysis, Familiarity with machine learning, Familiarity with advanced statistical methods, Experience with BigQuery, Experience with modern data stack tools", "workSiteFlexibility" : "Flexible", "rawDescription" : "About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a Recruiting Research Scientist to join our People Data Solutions team. You’ll be the research expert supporting our Recruiting organization, using rigorous scientific methods to advance our understanding of recruiting funnels, interview effectiveness, candidate experience, and recruiting capacity. This role sits at the intersection of organizational science, behavioral research, and people strategy – developing novel frameworks and conducting systematic research that drives evidence-based people decisions across our growing organization. This role offers the opportunity to make a significant impact on both our recruiting practices and the broader field of people science at a leading AI safety company. Responsibilities Research design & scientific inquiry Design and execute systematic research studies to answer fundamental questions about recruiting funnel health, assessment quality, candidate experience, and quality of hire Generate and test hypotheses about sourcing strategies, interview design, and selection decisions using rigorous experimental and quasi-experimental methods Conduct mixed-method research to understand what are the drivers and blockers to recruiting operations. Navigate research ethics considerations when studying candidate data, ensuring responsible research practices Selection & assessment research Design and execute validation studies to assess the quality of interviews and other selection tools Utilize psychometric techniques to analyze and improve interviewer calibration and rating consistency Lead investigative research into innovative approaches for candidate assessment Metrics design and governance Design the metrics framework for recruiting org health — defining the canonical KPIs, dimensions, and definitions that leadership uses to understand funnel performance, capacity, and hiring quality Establish the governance and definitional rigor that keeps metrics consistent across tools and reporting surfaces Analytical solution building Architect analytical solutions that convert research insights into actionable products, empowering stakeholders to execute data-driven scenario and strategic planning Quantify the adoption and downstream impact of deployed tools, driving iterative improvements Visualization & communication Build compelling visualizations and dashboards that make complex research findings accessible to diverse audiences Present research findings to senior leadership with clear, actionable recommendations Minimum Qualifications: Hold an advanced degree (Master’s or PhD) in I/O Psychology, Organizational Behavior, Statistics, Data Science, Economics, Behavioral Science, or a related research field Have experience with selection research, assessment validation, psychometrics, or recruiting funnel analytics Are comfortable working in the People Analytics tech stack and collaborating with data engineers Are proficient in SQL and Python/R, with experience in statistical analysis and machine learning Have experience with data visualization and can tell compelling stories with research findings Possess excellent communication skills and can influence stakeholders at all levels Thrive in ambiguity and can balance rigor with pragmatism Have a track record of challenging assumptions with data and changing long-held practices Can navigate sensitive topics diplomatically while maintaining analytical rigor Demonstrate intellectual humility and comfort with iterative discovery Use data to improve how organizations find, assess, and hire talent Preferred Qualifications: 5 + years of experience in research, people analytics, or related quantitative fields with demonstrated research methodology expertise Background in recruiting analytics specifically (not just general analytics) Experience running interview or assessment validation studies Experience building self-service analytics tools or dashboards Previous experience in high-growth technology companies or AI/ML organizations Familiarity with network analysis, machine learning, or advanced statistical methods Experience with BigQuery and modern data stack tools Experience with Greenhouse, Gem, ModernLoop, or similar recruiting tools The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $275,000—$370,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.", "summaryDescription" : "People Research Scientist at Anthropic. Skills: Recruiting analytics, People analytics, Organizational science, Behavioral research. Design research studies. Execute research studies", "postedDate" : "2026-06-16T01:16:49.954", "createdAt" : "2026-06-16T01:16:49.954", "lastUpdated" : "2026-06-16T14:08:14.048", "ingestTimestamp" : "2026-06-16T01:16:49.954", "mongoId" : "6a307a81f292fd229c03ce22", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 225000, "salaryAnnualMax" : 325000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Statistical analysis", "Machine learning", "Experimental methods", "Quasi-experimental methods", "Psychometric techniques", "Metrics framework design", "Data governance", "Scenario planning", "Strategic planning", "Intellectual humility", "Recruiting analytics", "People analytics", "Organizational science", "Behavioral research", "Scientific inquiry", "Selection research", "Assessment validation", "Psychometrics", "Recruiting funnel analytics", "Mixed-method research", "Metrics design", "Analytical solution building", "Data visualization", "Research ethics", "People strategy", "Recruiting funnels", "Interview effectiveness", "Candidate experience", "Recruiting capacity", "Quality of hire", "Sourcing strategies", "Interview design", "Selection decisions", "Recruiting operations", "Candidate data", "Selection tools", "Interviewer calibration", "Rating consistency", "Candidate assessment", "Funnel performance", "Hiring quality", "People Analytics", "AI safety", "Greenhouse", "Gem", "ModernLoop" ], "skillCount" : 46, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 827.9939, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.97 }, { "id" : "6a307f4bf292fd229c057afd", "title" : "Research Scientist, Robotics", "company" : "DeepMind", "industry" : "Technology", "salary" : { "min" : 220000.0, "max" : 350000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Research Scientist in Technology in Cambridge, United States, adjusted for DeepMind's size and industry." }, "location" : "[Cambridge, MA, USA, [Cambridge, MA, USA], Cambridge, null, MA, US]", "locations" : [ "[Cambridge, MA, USA, [Cambridge, MA, USA], Cambridge, null, MA, US]" ], "timestamp" : "2026-06-16T12:24:03.412", "fingerprint" : "32171746762a0c8e12a8d709b187cad43cc2013654e6ea956c8f01dd499f0398", "source" : "google", "language" : "en", "externalId" : "110066933675500230", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cambridge", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3656347,-71.1040018" } ], "locationText" : "Cambridge, Massachusetts, United States", "remoteFriendly" : true, "summaryDescription" : "Research Scientist, Robotics at DeepMind", "postedDate" : "2026-06-16T01:49:44.016", "createdAt" : "2026-06-16T01:49:44.016", "lastUpdated" : "2026-06-16T12:24:03.412", "ingestTimestamp" : "2026-06-16T01:49:44.016", "mongoId" : "6a307f4bf292fd229c057afd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 350000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.5555556, "_score" : 802.39575, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305138f292fd229cefc6c8", "title" : "Aseptic Manufacturing Technician - Day Shift [Contract to Hire]", "company" : "Iovance Biotherapeutics", "industry" : "Biotech", "salary" : { "min" : 50000.0, "max" : 70000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for entry-level Aseptic Manufacturing Technicians in Philadelphia, adjusted for the biotech industry and company size." }, "location" : "Philadelphia, Pennsylvania, United States", "locations" : [ "Philadelphia", "Pennsylvania", "United States" ], "certifications" : [ "Gowning qualification" ], "timestamp" : "2026-06-16T09:19:07.724", "fingerprint" : "f93562e00c54d04216e9ff3b38d438171dd6d346ada50d1499e1f94890d7572b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/iovancebiotherapeutics/jobs/5262730008", "externalId" : "5262730008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Philadelphia", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.9527237,-75.1635262" } ], "locationText" : "Philadelphia, Pennsylvania, United States", "employmentType" : "CONTRACT", "technicalSkills" : "Cell culture, GMP, Microso", "professionalSkills" : [ "Manufacturing process", "Quality standards", "Good Documentation Practices", "Inventory transactions", "Material transfer", "Chain of Information", "Chain of Custody", "Logbook review" ], "hardSkillsList" : [ "Aseptic technique", "Environmental monitoring", "Cryopreservation", "Gowning qualification", "Safety SOPs", "OSHA regulations" ], "softSkillsList" : [ "Team environment", "Independently" ], "hardSkills" : [ { "name" : "Aseptic technique", "level" : "intermediate" }, { "name" : "Environmental monitoring", "level" : "intermediate" }, { "name" : "Cryopreservation", "level" : "intermediate" }, { "name" : "Gowning qualification", "level" : "intermediate" }, { "name" : "Safety SOPs", "level" : "intermediate" }, { "name" : "OSHA regulations", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Team environment" }, { "name" : "Independently" } ], "majorSkills" : "Cell therapy manufacturing, Aseptic processing, Cleanroom operations", "majorSkillsList" : [ "Cell therapy manufacturing", "Aseptic processing", "Cleanroom operations" ], "coreResponsibilities" : "Prepare suites for cell processing, Transfer materials, Perform environmental monitoring, Perform BSC runner duties, Inspect final product, Cryopreserve final product, Execute GMP cell therapy manufacturing process, Complete training sessions, Maintain training documentation, Comply with quality standards, Adhere to GMP, Adhere to SOPs, Adhere to GDP, Stock materials, Prepare kits, Ensure room readiness, Perform equipment cleaning, Perform inventory transactions, Transfer materials in hallway, Receive tumor, Perform Chain of Information transactions, Perform Chain of Custody transactions, Incubate materials, Retrieve feeder cells from LN2, Perform final product visual inspection, Perform final product cryopreservation, Perform BSC runner duties, Perform balance weight checks, Operate liquid repeater pump, Operate tube sealers, Operate tube welders, Use incubator for cell culture, Perform in-suite environmental monitoring, Perform document Environmental Monitoring duties, Train and pass gowning qualification, Maintain gowning qualification, Review logbooks, Attend Tier 1 meeting, Escalate issues and concerns, Adhere to production schedule, Maintain internal production priorities, Perform other duties as assigned", "teamCollaboration" : "Work in a team", "domainKnowledge" : "Cell therapy manufacturing; Tumor infiltrating lymphocyte; Immuno-oncology; Cleanroom operations; ISO class 5; Good Manufacturing Practices; Good Documentation Practices; Biosafety cabinet operations; Liquid nitrogen tanks; OSHA regulations", "domainList" : [ "cell-therapy-manufacturing", "tumor-infiltrating-lymphocyte", "immuno-oncology", "cleanroom-operations", "iso-class-5", "good-manufacturing-practices", "good-documentation-practices", "biosafety-cabinet-operations", "liquid-nitrogen-tanks", "osha-regulations" ], "domainSpecificKnowledge" : [ "Cell therapy manufacturing", "Tumor infiltrating lymphocyte", "Immuno-oncology", "Cleanroom operations", "ISO class 5", "Good Manufacturing Practices", "Good Documentation Practices", "Biosafety cabinet operations", "Liquid nitrogen tanks", "OSHA regulations" ], "toolProficiency" : [ "Electronic inventory systems", "Controlled rate freezers" ], "documentationSkills" : "Good Documentation Practices", "continuousLearning" : "Training sessions", "innovationCreativity" : "Continuous innovation", "problemSolvingSkills" : "Troubleshooting; Problem-solving; Analysis", "specialRequirements" : "Work overtime, Work weekends, Work holidays, Wear half-faced respirator, Stand and walk 90%, Sit 10%, Climb ladders or steps, Crouch, bend, twist, reach, Perform activities with repetitive motions", "qualificationsBasic" : "Bachelor's degree or equivalent experience, Read, write and understand English, Meet requirements for half-faced respirator, Lift and carry objects weighing 50 pounds, Clear and conceptual thinking, Excellent judgment, Troubleshooting, Problem-solving, Analysis, Handle multiple priorities, Meet deadlines", "qualificationsPreferred" : "Background in cell culture, Aseptic gowning and qualifications, ISO class 5 (Grade A) cleanroom operations, 0-1 year experience in biopharmaceutical GMP manufacturing, Aseptic technique experience, Aseptic liquid transfers experience, Use of welders and sealers experience, BSC aseptic operations experience, Associated downstream processing experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Iovance Biotherapeutics aims to be the global leader in innovating, developing and delivering tumor infiltrating lymphocyte (TIL) therapy for people with cancer. We are pioneering a transformational approach to treating cancer by harnessing the ability of the human immune system to recognize and attack diverse cancer cells in each patient. The Iovance TIL platform has demonstrated promising clinical data across multiple solid tumors. We are committed to continuous innovation in cell therapy, including gene-edited cell therapy, which may be a promising option for patients with cancer. Overview Iovance Biotherapeutics is an immuno-oncology company focused on the development and commercialization of novel cancer immunotherapies based on tumor infiltrating lymphocytes (TIL). The Aseptic Manufacturing Technician I, role is crucial for the autologous cell therapy manufacturing program. This position requires a broad understanding of theories, techniques, and principles to support manufacturing processes. As an Aseptic Manufacturing Technician I, you will primarily be responsible for the following tasks: suite preparation for cell processing, material transfer, environmental monitoring, BSC runner duties, final product inspection, and final product cryopreservation in controlled rate freezers, for commercial and clinical use. This position works across different shifts. Depending on your assigned shift, you may be required to work overtime, weekends, and holidays to ensure the manufacturing process is completed. As this person will be a key member of the autologous cell therapy manufacturing program, a background in cell culture, aseptic gowning and qualifications, as well as ISO class 5 (Grade A) cleanroom operations is strongly desired. Rotation Schedule: Week 1: Shift B: Thursday to Saturday from 0700 to 1930 Week 2: Shift B: Wednesday to Saturday from 0700 to 1830 Aseptic Manufacturing Technicians are required to work their assigned schedule. The first few months of onboarding training for this position will occur during regular work week hours (1st shift M-F); however, once the technician is trained, they will be assigned to a shift that include weekends, evenings, and holidays, as needed (i. e. Shifts may be Sunday to Wednesday, Wednesday to Saturday days or nights). May be required to work overtime. Essential Functions and Responsibilities: Develop a comprehensive understanding of and be able to proficiently execute Iovance’s GMP cell therapy manufacturing process(es). Complete training sessions and ensure training documentation is maintained. Understand and comply with quality standards and requirements as documented. Adhere to Good Manufacturing Practices (GMP) and Standard Operating Procedures (SOPs), including Good Documentation Practices (GDP). Preps: Provide operational support functions including: Materials stocking and transfer. Kit preparation. Room readiness. Equipment cleaning activities. And inventory transactions using electronic inventory systems. Hallway: Material transfer. Tumor receipt. Chain of Information/Chain of Custody transactions. Material incubation. Feeder cell retrieval from liquid nitrogen (LN2) tanks. Able to perform final product visual inspection. Final product cryopreservation in controlled rate freezers. BSCR: Perform biosafety cabinet (BSC) runner duties as assigned. Balance weight checks and operation. Operation of liquid repeater pump. Operation of tube sealers and welders. Incubator-use for cell culture. EM: Perform in-suite environmental monitoring during the day of process Perform document Environmental Monitoring duties using sample management electronic system. Miscellaneous: Able to train, pass and maintain gowning qualification. Perform logbook review. Attend the daily Tier 1 meeting and escalate issues/concerns at that forum to Area Management for further investigation. Ability to work in a team environment and independently as required. Must adhere to Iovance Biotherapeutics’ core values, policies, procedures, and business ethics. Must comply with Safety SOPs, SDS sheets, and laboratory procedures per company policy and OSHA regulations. Adherence to production schedule while maintaining internal production priorities. Perform other duties as assigned. Required Education, Skills, and Knowledge Bachelor’s degree or equivalent experience. Minimum 0-1 year of experience in biopharmaceutical-based GMP manufacturing operations, including, aseptic technique, aseptic liquid transfers, use of welders and sealers, BSC aseptic operations and associated downstream processing is a plus. Must be able to read, write and understand English especially for Good Documentation Practices. Proficiency in Microsoft (Excel, Word, Outlook and Teams). Ability to accurately and reproducibly perform arithmetic calculations including fractions, decimals and percentages and basic algebraic and geometric calculations. May work on moderately complex assignments, requiring judgment to resolve operational issues without negatively impacting manufacturing efforts. Quality mindset, familiar with 21 CFR Part 11 and standard GxP best practices and FDA regulations. Ability to build relationships quickly and credibly. Ability to work successfully in a fast-paced team-oriented environment and manage constant change. The physical demands described here represent those that an employee must meet to perform the essential functions of this job successfully. Reasonable accommodation may be made upon request to enable individuals to perform essential functions. Please contact Human Resources to request accommodation. For the Visual Inspection Program, the technician must be able to pass a Vision Exam that includes the following: Must not be color blind. Must have 20/20 near vision in both eyes (can be corrected) Clarity of vision at near and mid-range, depth perception, and ability to identify and distinguish colors may be given a visual exam for visual acuity and color perception. Physical Demands and Activities Required: You must be able to wear appropriate cleanroom attire and all Personal Protective Equipment (PPE), i.e., scrubs, gowning coveralls, masks, gloves, etc. Must meet requirements for and be able to wear a half-faced respirator for use of hazardous chemicals. Able to stand and/or walk 90% (and sit 10%) within your scheduled workday, which may include climbing ladders or steps. Able to crouch, bend, twist, reach, and perform activities with repetitive motions. Must be able to lift and carry objects weighing 50 pounds. Mental: Clear and conceptual thinking ability; excellent judgment, troubleshooting, problem-solving, analysis, and discretion; ability to handle work-related stress; ability to handle multiple priorities simultaneously; and ability to meet deadlines. Work Environment: This position will work in both an office and a manufacturing setting. When in the cleanroom setting, must be able to work with various chemical/biochemical exposures with appropriate PPE. Potential exposure to noise and equipment hazards and strong odors. #LI-onsite The statements contained in this document are intended to describe the general nature and level of work being performed by a colleague assigned to this description. They are not intended to constitute a comprehensive list of functions, duties, or local variances. Management retains the discretion to add or to change the duties of the position at any time. Iovance is committed to cultivating and offering a diverse and inclusive work environment. As an equal-opportunity employer, our employees and applicants will be considered without regard to an individual’s race, color, religion, sex, pregnancy, national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information, military and veteran status, and any other characteristic protected by applicable law. If you need assistance or accommodation to apply to one of our opportunities, please contact careers@iovance.com. By voluntarily providing information and clicking “Submit Application”, you explicitly consent to the collection and use of your personal information for the purposes described above and in our Candidate Privacy Notice.", "summaryDescription" : "Aseptic Manufacturing Technician - Day Shift [Contract to Hire] at Iovance Biotherapeutics. Skills: Cell therapy manufacturing, Aseptic processing, Cleanroom operations. Prepare suites for cell processing. 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In Outbound, we are innovating and building scientific solutions to delight Amazon customers with timely, highly personalized and relevant messages across digital channels such as email, mobile push notifications, WhatsApp and SMS. As a Research Scientist in Outbound, you will architect and develop the scientific models for the next generation Outbound message management service that sends 100s of millions of communications (push, email, etc) to worldwide Amazon customers everyday plausibly within minutes of customer-actions on amazon.com. The models handle decisions such as scheduling and optimization across message-ranking, timing and frequency across these messages that drive $20B+ of annual revenue for Amazon. You will use techniques such as reinforcement learning and multi-armed bandits (MAB) to optimize long-term engagement of customers with Amazon. The models and architecture you build ensure a high bar for customer experience through scientifically established guardrails that would use large language models (LLMs). You will own and present research artifacts to internal and external science forums, along with influencing senior leadership and stakeholders for strategic decision-making. Key job responsibilities As a Research Scientist in Outbound, you will design and develop science models in a highly ambiguous message-management domain that handles scheduling and dispatch decisions of 100s of millions of messages everyday. These models will decide what messages we send to customers, at what times, and through what channels to optimize the long-term customer engagement. You will research and apply state of the art modeling methods such as reinforcement learning, bandits, neural networks, causal modeling methods and LLMs to optimize the message selection, timing and channel of communication for customers. At the crux of architecting these models is influencing the software design of the new message management service responsible to send these messages to customers in span of minutes from when a customer takes actions on-site. You will partner closely with the software engineering and product managers to come up with an ideal design of science architecture that considers design tradeoffs in context of software constraints and user requirements. You will design and analyze experiments that enable quick iteration of model development and learnings as Outbound’s message-management service evolves. You will present scientific findings to senior leaders; and technical, business and product stakeholders to guide for decisions that maximize benefits for Amazon in the long-run. You will mentor junior scientists in the team. You will coordinate with broader Amazon science teams to align your research and scientific design choices with the broader Amazon’s customer objectives. You will document and publish your research-driven artifacts to influence the scientific community in and outside of Amazon. Basic Qualifications: - PhD and 4+ years, or Master's degree and 8+ years of industry experience in a quantitative discipline. - 4+ years of experience investigating the feasibility of applying scientific principles and concepts to business problems. - 4+ years of experience with advanced machine learning methods such as neural networks, reinforcement learning, natural language processing. - 4+ years of experience with programming languages such as python, C++, Java. - 4+ years of experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc. - 2+ years of experience communicating findings and details of quantitative research methods to non-quantitative audience Preferred Qualifications: - 2+ years of experience with discrete and continuous optimization methodologies and algorithms - 2+ years of experience working in software system design. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $212,800/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" : "Research Scientist, Outbound at Amazon.com Services LLC. Skills: Data Science, Machine Learning, Data Engineering. Design and implement data science solutions. 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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. 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 . 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We value curiosity, creativity, diligence, tenacity, intellectual honesty, clear thought and communication, attention to detail, and the ability to effectively collaborate. At Edgestream an individual dedicated effort can have a major impact. About the Job The Research group at Edgestream consists of highly skilled mathematicians, scientists, and engineers, working together to unravel some of finance’s hardest problems. We create the models of market behavior that drive all trading in our funds. Our work involves creation and application of techniques from probability and statistics, machine learning, information theory, optimization, and algorithms, to better understand the behavior of markets and direct our trading. We also work together to continuously enhance the platform that the research group uses for discovery, evaluation, and implementation. The applicant may choose to work primarily from either Princeton, NJ or New York, NY. Qualifications: PhD in a mathematical, scientific, or engineering discipline At least one subsequent academic or industrial/government research appointment Evidence of distinction and impact (publications or impactful results in industry) Exposure to programming, numerical computation, and ideally data analysis and a keen interest in further developing your skills in these areas No knowledge of finance is required Some of the benefits of working at Edgestream: Competitive initial salary, bonus - and an opportunity for further long-term substantial financial rewards An opportunity to see your work appreciated and have tangible impact A talented group of colleagues to work with who share a common objective and therefore have a real interest in your success Comprehensive benefits (including medical and dental insurance, 401(k), HRA, FSA, life insurance, and daily catered lunch that encourages relationship-building and communication). Contact Info For questions, please contact careers@edgestreamlp.com. Legal disclaimer: In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. Base salary range: $175k-$215k.", "summaryDescription" : "Research Scientist at Edgestream. Skills: Quantitative modeling, Machine learning, Market behavior. Develop quantitative models. 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Our Analytics team is at the forefront of enhancing delivery experiences through data-driven solutions and innovative technology. As a Research Scientist, you will join a team dedicated to optimizing our delivery network, ensuring reliable and efficient service to our customers. We are seeking an enthusiastic, customer-centric professional with strong analytical capabilities to drive impactful projects, implement advanced solutions, and develop scalable processes. In this role, you will have immediate ownership of business-critical challenges and the opportunity to make strategic, data-driven decisions that shape the future of our delivery operations. Your work will directly influence customer experience and operational excellence. The ideal candidate will possess both research science capabilities and program management skills, thriving in an environment that requires independent decision-making and comfort with ambiguity. This role offers the opportunity to make a significant impact on our advanced logistics network while working with pioneering technology and data science applications. Basic qualifications • 3+ years of building machine learning models for business application experience • Knowledge of programming languages such as C/C++, Python, Java or Perl • Experience programming in Java, C++, Python or related language • Experience with neural deep learning methods and machine learning Preferred qualifications: • PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field • 3+ years of extensive relevant research experience • Deep expertise in Machine Learning • Proficiency in programming • Core competency in mathematics and statistics • Track record of successful projects in algorithm design and product development • Publications at peer-reviewed conferences or journals • Strategic thinker with good execution skills • Exhibits excellent business judgment • Effective verbal and written communication skills • Experience working with real-world data sets and building scalable models from big data • Experience with modern modeling tools and frameworks such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow • Experience with large scale distributed systems Basic Qualifications: - 3+ years of building machine learning models for business application experience - Knowledge of programming languages such as C/C++, Python, Java or Perl - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications: - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - 3+ years of relevant, broad research experience - Deep expertise in Machine Learning - Proficiency in programming - core competency in mathematics and statistics. - Track record of successful projects in algorithm design and product development. - Publications at top-tier peer-reviewed conferences or journals. - prior experience with mentorship and/or management of scientists - Thinks strategically, but stays on top of tactical execution. - Exhibits excellent business judgment; balances business - Effective verbal and written communication skills - Experience working with real-world data sets and building scalable models from big data. - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, - Experience with large scale distributed systems 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" : "Research Scientist at ADCI. Skills: Machine Learning, Data science, Logistics optimization. Optimize delivery network. 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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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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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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 . 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data collection systems, Design data mining systems, Provide Translational Medicine representation, Provide Translational Medicine input, Interpret data, Present data, Design exploratory studies, Execute exploratory studies, Drive publication of data, Drive presentation of data, Contribute to IND submissions, Contribute to NDA submissions, Contribute to PMA submissions, Author relevant sections, Review relevant sections, Generate submission responses, Build internal links, Build external links, Build collaborations, Analyze complex issues, Develop relevant plans, Develop realistic plans, Develop recommendations", "teamCollaboration" : "Cross functional teams; Cross functional research teams; Clinical teams; Core Teams; Translational Sub Teams; Clinical Sub Teams; External scientific community; Academia; Governmental organizations; Nonprofit organizations; CROs", "domainKnowledge" : "Precision oncology; Rare diseases; Oncology; Genetic diseases; Protein motion; Small molecule 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medicine function, Highly motivated, Decisive, Results-oriented, Proactive, Resourceful, Efficient, Flexible, Creative, Diplomacy, Professionalism, Stakeholder management skills, Manage multiple projects, Identify and resolve issues, Influence without authority, Lead change, Manage resistance to change, Solicit information, Persuade others, Shape outcomes, Work ethic, Problem-solving ability, Attention to detail, Quality", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "Relay Therapeutics seeks a dynamic and highly skilled Senior/Executive Director, Translational Medicine leader to build a cutting-edge Translational Medicine team to advance our industry-leading precision medicine pipeline. Bridging research and development, the Senior Director, Translational Medicine will drive all aspects of the translational strategy and will be accountable for delivering key translational milestones from pre-IND to NDA. The successful candidate will have expertise in precision oncology/rare diseases and be adept at leading cross-functional teams and leveraging novel molecular approaches to advance small molecule therapeutics. Your Role: Accountable for generation and continual refinement of the integrated translational medicine strategy for Relay’s precision medicine portfolio from IND to POC to NDA Be a thought partner in cross functional research/clinical teams to devise and advance scientific/medical strategies for key translational milestones across the portfolio including patient selection criteria and companion diagnostics, demonstration of target engagement, principles for dose optimization and proof of mechanism. Lead, manage and oversee translational medicine scientists and day to day operations. With clinical team, define and implement translational objectives and endpoints for precision medicine clinical study protocols to achieve rapid proof of concept and clear path to registration in molecularly defined patient populations. Direct and oversee outsourcing and validation of clinical biomarker assays. Oversee the design of data collection and data mining systems. Responsible for providing Translational Medicine representation on Core Teams, Translational and Clinical Sub Teams, providing Translational Medicine input to overall development planning and implementation. Lead the interpretation of data and their presentation in clinical study reports and publications; accountable for the design and execution of exploratory studies in Translational Medicine. Drive publication/presentation of Translational Medicine data in high impact medical/scientific journals and high-profile medical meetings. Provide key contribution to IND, NDA, PMA submissions via authoring/reviewing relevant sections and generating responses. Build successful internal and external links and collaborations, including with contract research organizations, academia and nonprofit organizations, and the ability to analyze complex issues to develop relevant and realistic plans and recommendations will be key to success. Your Background: PhD or MD and at least 12+ years of broad bio/pharmaceutical industry experience in drug development, with at least 8+ years of direct experience in translational medicine. Successful track record with PMA submissions and CDx approvals in tissue and/or blood-based patient selection markers Experience scaling and building a translational medicine function Deep knowledge and understanding of oncology and genetic diseases, including companion diagnostics; precision oncology drug development paradigms and technical, business, and regulatory approaches. You are passionate about translational medicine and well connected to external experts and highly credible advisors. You have talent and ability in forging and nurturing key partnerships and collaborations with the external scientific community, including academia, governmental organizations, nonprofit organizations and CROs Preferred Qualifications You are a highly motivated, decisive, and results-oriented individual who is proactive, resourceful, and efficient with the flexibility and creativity to excel in and contribute to a rapidly growing precision medicine company. Diplomacy and professionalism with excellent stakeholder management skills and with the ability to contribute to the corporate goals of becoming a leader in oncology and/or genetic disease disorders and bringing medicines to patients. Able to work across functions and levels, build relationships and influence decision-making, while managing to tight timelines. Capable of highly independent work as well as being a team player and role model. Proven ability to manage multiple projects, and efficiently identify and resolve issues. Outstanding verbal and written communication skills, allowing for an open and effective dialogue throughout the organization. Ability to influence without authority, lead change and manage resistance to change. Must be able to solicit information, persuade others and shape outcomes. A strong work ethic, excellent problem-solving ability, and attention to detail and quality are critical to success. Estimated Salary Range: [$196,000 - $279,000]. The range provided above is based on what we believe to be a reasonable estimate for this job at the time of posting. Actual base salary will depend on a number of factors, including but not limited to, a candidate’s education, experience, skills and location. #JO1 About Relay Therapeutics Relay Therapeutics is a clinical-stage precision medicines company transforming the drug discovery process with the goal of bringing life-changing therapies to patients. Built on unparalleled insights into protein motion and how this dynamic behavior relates to protein function, we aim to effectively drug protein targets that have previously been intractable, with an initial focus on enhancing small molecule therapeutic discovery in targeted oncology. Our Dynamo platform integrates an array of leading-edge experimental and computational approaches to provide a differentiated understanding of protein structure and motion to drug these targets. We have built a world-class team of leading experts from each of these disciplines, and they are driven by a deep collaboration at every step of our drug discovery process. Our team is equal parts fearless and relentless, with a shared passion for working collaboratively in intellectually stimulating environments. If you’re excited by the challenge of putting protein motion at the heart of drug discovery and passionate about making a difference in the lives of patients, join us!", "summaryDescription" : "Senior Director, Translational Medicine at Relay Therapeutics. Skills: Translational Medicine, Precision Oncology, Rare Diseases, Drug Development. Generate translational medicine strategy. 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Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U. S. states. The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation. This role follows a hybrid work schedule and reports to a Principal Research Scientist. You will: Research 5 days/event (discretionary) Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks Baby Bonding Leave: 18 weeks Holidays: 13 paid days per year The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. 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WE BUILD ROBOTIC VEHICLES TO IMPROVE LOGISTICS SAFETY, FORGE A GREENER EARTH, AND ENHANCE HUMAN LIVES. We are a closely-knit team aspiring to change the world through disruptive technology. We are innovators. We are tinkerers. We are problem-solvers. And we have a fair amount of magic dust up our sleeves. We have a plan for fleet-level deployment of autonomous vehicles, and we are looking for the best-of-the-best to join us in making this a reality. ABOUT VENTI TECHNOLOGIES Based in the U.S. and Asia, Venti Technologies is the leader in safe-speed autonomous logistics systems, developing the future of goods transportation. Using rigorous mathematics, deep learning, and theoretically-grounded algorithms, Venti has a proprietary collection of autonomy technologies including a suite of powerful logistics algorithms. Venti’s proven value proposition of saving costs, increasing vehicle utilization, and improving safety is recognized by customers and driving growth. Launched in 2018, Venti brings together an unsurpassed team internationally. The company has autonomous systems deployed in Asia for industrial and logistics sites and a growing pipeline. Venti has offices in Cambridge (Massachusetts, USA), Suzhou (China), and Singapore – our Asian headquarters. LOCATION - Singapore Position overview We are seeking a Senior Planning Research Scientist with strong software engineering expertise to join our planning and control team. You will design, implement, and optimize advanced planning algorithms that enable autonomous vehicles to navigate complex and dynamic environments safely and efficiently. In this role, you will own both the research and engineering aspects of planning — from developing novel algorithms to delivering clean, high-performance, and reliable C++ implementations ready for deployment. You will work cross-functionally with perception, prediction, and control teams to bring robust autonomy to large-scale operations. Role responsibilities - Algorithm & System Development: Design, implement, and maintain high-performance route planning and motion planning modules in modern C++. Deliver robust, efficient, and maintainable code for real-time autonomous driving applications. - Performance Optimization: Profile and optimize planning algorithms for runtime efficiency, memory usage, and latency to meet real-time operational constraints. - System Integration: Collaborate with perception, prediction, and control teams to ensure seamless data flow and performance consistency across the autonomy pipeline. - Simulation and Testing: Implement, simulate, and validate planning algorithms in both simulation environments and real-world autonomous platforms. Conduct in-depth analysis to ensure robustness and reliability. - System Debugging & Deployment: Debug complex, multi-module systems, analyze logs and telemetry, and ensure successful deployment of planning modules in both simulated and real-world environments. - Collaboration & Mentorship: Work closely with fellow engineers and researchers, share best practices in system design, and mentor junior developers to strengthen engineering excellence within the team. Required experience - Educational Background: Ph.D. or Master’s degree in Computer Science, Robotics, Engineering, or a related field. - Programming Proficiency: Strong proficiency in C++. Solid understanding of object-oriented programming, data structures, algorithms, and real-time software design. - Algorithmic Knowledge: Strong foundation in graph search, sampling-based, and optimization-based methods, and familiarity with decision-making frameworks (FSMs, behavior trees). - Experience with Optimization: Proven ability to optimize code for performance and resource constraints in real-time environments. - Software Development Experience: Hands-on experience in developing large-scale robotic or autonomous systems. Proficiency with Linux, ROS/ROS2, Git, CMake/Bazel, and CI/CD pipelines. - Leadership and Mentorship: Experience leading technical projects, mentoring engineers, and contributing to organizational growth. - System Thinking: Understanding of how planning interacts with perception, localization, and control. Ability to reason about system-level trade-offs. - Collaboration: Effective communicator who can work across disciplines and translate algorithmic concepts into software components that meet product requirements. SALARY IS COMMENSURATE WITH EXPERIENCE. WE ALSO OFFER WORLD-CLASS BENEFITS, FANTASTIC CULTURE, FLEXIBLE WORKING ARRANGEMENTS, AND A GREAT INTERNATIONAL WORKING ENVIRONMENT. COME AND JOIN US!", "summaryDescription" : "Senior Planning Research Scientist at Venti Technologies. Skills: Planning algorithms, Motion planning, Route planning, C++ implementation. Design planning algorithms. 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Edgestream’s culture has more in common with research laboratories and technology startups than with traditional finance. We prize curiosity, creativity, diligence, and intellectual honesty. We focus on the long term, working together to build elegant and general systems that endure and scale as we grow. And we incentivize our employees to cooperate and share ideas, because we know that compounding our efforts magnifies our achievements. The result is a company where smart, dedicated effort can have a major impact. We’ve been in the business of managing hedge funds since 2003, and we’re still growing. We’re looking for talented, curious, and driven people who can grow with us in the years ahead. About the Job The Research group at Edgestream consists of highly skilled scientists and engineers, working in collaboration to unravel some of the finance’s hardest problems. Our ranks include physicists, mathematicians, biologists, machine learning experts, cryptographers, and theoretical computer scientists. We are responsible for the creation of the scientific models of market behavior which drive trading in our funds. Our investment process is fully research driven, and new members of our team quickly find that they have the opportunity to contribute directly to the company’s bottom line. Our work covers the full spectrum from basic research in statistics, information theory, and algorithms, to investigating new datasets, to building out our research platform, to implementation and analysis of live trading systems. This position will be located in either Princeton, NJ or New York, NY. Qualifications: PhD in a scientific or engineering discipline (or equivalent experience). Track record of high achievement in scientific research. Strong analytical and mathematical abilities. Comfort with large data and programming. No knowledge of finance is required. Some of the benefits of working at Edgestream: Competitive salary, bonus, and incentive compensation based on overall company performance. Fantastic resources, accumulated over decades, for turning ideas into reality. Comprehensive, first-class benefits (including excellent medical and dental insurance, 401(k), HRA, FSA, life insurance, daily catered lunch, and an onsite gym). For qualified employees, the opportunity to invest in our funds. Contact Info E-mail: careers@edgestreamlp.com. Legal disclaimer: In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.", "summaryDescription" : "Experienced Alpha Research Scientist at Edgestream. Skills: Quantitative modeling, Financial markets, Machine learning. Develop quantitative models. 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Engineering teams; Data science teams; Cross-disciplines", "domainKnowledge" : "Health science; Public health; Clinical concepts; Physiological data; Behavioral datasets; Individual variability; Real-world use cases", "domainList" : [ "health-science", "public-health", "clinical-concepts", "physiological-data", "behavioral-datasets", "individual-variability", "real-world-use-cases" ], "domainSpecificKnowledge" : [ "Health science", "Public health", "Clinical concepts", "Physiological data", "Behavioral datasets", "Individual variability", "Real-world use cases" ], "communicationSkills" : "Clear communication; Actionable recommendations; Effective communication; Written communication; Verbal communication", "documentationSkills" : "Internal reports; White papers; Peer-reviewed publications", "problemSolvingSkills" : "Hypothesis formulation; Data analysis; Model evaluation; Identify patterns; Identify insights", "outcomesObjectives" : "Inform product direction; Inform algorithm development", "qualificationsBasic" : "PhD or equivalent experience, Proficiency in statistical modeling, Proficiency in machine learning, Experience using Python or R, Experience modeling longitudinal data, Experience modeling time-series data", "qualificationsPreferred" : "PhD in quantitative field, PhD in health-related field, Background in health science, Grounding in public health, Grounding in clinical concepts, Experience with probabilistic methods, Experience with Bayesian inference, Experience with causal inference, Experience connecting data analysis to real-world applications", "rawDescription" : "RESPONSIBILITIES: - - Lead end-to-end research projects from hypothesis formulation through analysis, interpretation, and communication - Analyze large-scale, longitudinal physiological and behavioral datasets to identify meaningful patterns and insights - Develop and evaluate models that characterize individual variability and predict future physiological states - Translate research findings into clear, actionable recommendations that inform product direction and algorithm development - Collaborate closely with product, engineering, and data science teams to ensure research is interpretable and aligned with real-world use cases - Contribute to the design and execution of research programs - Produce high-quality scientific outputs, including internal reports, white papers, and peer-reviewed publications - Serve as a senior technical leader, providing guidance and mentorship to junior scientists and contributing to raising the bar for scientific rigor across the team. - Help define research standards, methodologies, and best practices across the team QUALIFICATIONS: - - PhD (or equivalent experience) in a quantitative or health-related field (e.g., Epidemiology, Biostatistics, Biomedical Engineering, Neuroscience, Computer Science, or related disciplines), - Strong background in health science, with grounding in public health and clinical concepts, and experience modeling longitudinal or time-series data (e.g., within-person variability in real-world settings) - Demonstrated ability to design hypothesis-driven analyses and translate findings into clear conclusions - Proficiency in statistical modeling and/or machine learning methods and demonstrated experience using Python or R - Significant hands-on experience with advanced modeling techniques for longitudinal/time-series data, such as probabilistic methods, Bayesian inference, and/or causal inference - Ability to work across disciplines and communicate effectively with both technical and non-technical stakeholders - Experience connecting data analysis to real-world applications (product, wellness, clinical, or operational) - Strong written and verbal communication skills", "summaryDescription" : "Senior Research Scientist. Skills: Research projects, Data analysis, Model development, Scientific communication. Lead research projects. Analyze datasets", "createdAt" : "2026-06-13T21:30:41.847", "lastUpdated" : "2026-06-15T08:16:09.697", "ingestTimestamp" : "2026-06-13T21:30:41.847", "mongoId" : "6a2c8c8374d8ee00a0975b36", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 220000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Statistical modeling", "Machine learning methods", "Longitudinal data modeling", "Time-series data modeling", "Probabilistic methods", "Bayesian inference", "Causal inference", "Leadership", "Mentorship", "Research projects", "Data analysis", "Model development", "Scientific communication", "Hypothesis formulation", "Algorithm development", "Research programs", "Scientific outputs", "Technical leadership", "Scientific rigor", "Research standards", "Methodologies", "Best practices", "Health science", "Public health", "Clinical concepts", "Physiological data", "Behavioral datasets", "Individual variability", "Real-world use cases" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 640.86395, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6ba374d8ee00a0913b63", "title" : "AI Research Scientist", "company" : "Gallup", "industry" : "Technology", "salary" : { "min" : 165000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Washington, D.C.", "locations" : [ "Washington", "D.C." ], "timestamp" : "2026-06-15T03:44:52.035", "fingerprint" : "d7dfdcd79bc65c8c3b1942c22452e86a8d96589692f940b84f75e4460f190177", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/gallup/jobs/4249944009", "externalId" : "4249944009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Washington", "state" : "District of Columbia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "38.8950982,-77.0363849" } ], "locationText" : "Washington, District of Columbia, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Python, LangChain, LangGraph, LlamaIndex, Knowledge graphs, Vector databases, RAG pipelines, LLMs, Graph storage, Cloud AI ecosystems, Azure OpenAI, AWS Bedrock, GCP Vertex", "professionalSkills" : [ "Systems thinking", "Architectural creativity", "Research questions", "Technical approaches", "Evaluation frameworks", "Architectural decisions" ], "hardSkillsList" : [ "Ontology design", "Schema design", "Embeddings", "Indexing", "LLM-based extraction", "Entity resolution", "Graph traversal", "Retrieval systems", "Reasoning quality", "Extraction quality", "Agentic workflows", "Multi-step reasoning", "Tool use", "Planner/executor patterns", "Service layers", "Hybrid database architectures" ], "softSkillsList" : [ "Entrepreneurial mindset", "Systems thinking", "Architectural creativity" ], "hardSkills" : [ { "name" : "Ontology design", "level" : "intermediate" }, { "name" : "Schema design", "level" : "intermediate" }, { "name" : "Embeddings", "level" : "intermediate" }, { "name" : "Indexing", "level" : "intermediate" }, { "name" : "LLM-based extraction", "level" : "intermediate" }, { "name" : "Entity resolution", "level" : "intermediate" }, { "name" : "Graph traversal", "level" : "intermediate" }, { "name" : "Retrieval systems", "level" : "intermediate" }, { "name" : "Reasoning quality", "level" : "intermediate" }, { "name" : "Extraction quality", "level" : "intermediate" }, { "name" : "Agentic workflows", "level" : "intermediate" }, { "name" : "Multi-step reasoning", "level" : "intermediate" }, { "name" : "Tool use", "level" : "intermediate" }, { "name" : "Planner/executor patterns", "level" : "intermediate" }, { "name" : "Service layers", "level" : "intermediate" }, { "name" : "Hybrid database architectures", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Entrepreneurial mindset" }, { "name" : "Systems thinking" }, { "name" : "Architectural creativity" } ], "majorSkills" : "AI systems, Knowledge architectures, Retrieval systems, LLM extraction", "majorSkillsList" : [ "AI systems", "Knowledge architectures", "Retrieval systems", "LLM extraction" ], "coreResponsibilities" : "Design applied AI systems, Prototype applied AI systems, Evaluate applied AI systems, Build knowledge architectures, Combine knowledge graphs, Combine vector databases, Combine RAG pipelines, Combine hybrid retrieval, Own core retrieval infrastructure, Design ontology, Design schema, Design embeddings, Design indexing, Design LLM-based extraction, Design entity resolution, Design graph storage, Design query patterns, Translate research questions, Create evaluation frameworks, Partner with researchers, Partner with product leaders, Partner with technologists, Integrate knowledge systems, Communicate architectural decisions, Stay current on AI research, Identify techniques", "teamCollaboration" : "Partner with researchers; Partner with product leaders; Partner with technologists", "domainKnowledge" : "Knowledge representation; Retrieval; Agentic reasoning; Knowledge graphs; Vector databases; RAG pipelines; Hybrid retrieval; Behavioral data; Scientific data; Ontology design; Schema design; Embeddings; Indexing; LLM-based extraction; Entity resolution; Graph storage; Query patterns; Reasoning quality; Retrieval accuracy; Scalability; Real-world impact; Agentic workflows; Multi-step reasoning; Tool use; Planner/executor patterns; Service layers; Graph learning; Hybrid database architectures; Cloud AI ecosystems", "domainList" : [ "knowledge-representation", "retrieval", "agentic-reasoning", "knowledge-graphs", "vector-databases", "rag-pipelines", "hybrid-retrieval", "behavioral-data", "scientific-data", "ontology-design", "schema-design", "embeddings", "indexing", "llm-based-extraction", "entity-resolution", "graph-storage", "query-patterns", "reasoning-quality", "retrieval-accuracy", "scalability", "real-world-impact", "agentic-workflows", "multi-step-reasoning", "tool-use", "planner-executor-patterns", "service-layers", "graph-learning", "hybrid-database-architectures", "cloud-ai-ecosystems" ], "domainSpecificKnowledge" : [ "Knowledge representation", "Retrieval", "Agentic reasoning", "Knowledge graphs", "Vector databases", "RAG pipelines", "Hybrid retrieval", "Behavioral data", "Scientific data", "Ontology design", "Schema design", "Embeddings", "Indexing", "LLM-based extraction", "Entity resolution", "Graph storage", "Query patterns", "Reasoning quality", "Retrieval accuracy", "Scalability", "Real-world impact", "Agentic workflows", "Multi-step reasoning", "Tool use", "Planner/executor patterns", "Service layers", "Graph learning", "Hybrid database architectures", "Cloud AI ecosystems" ], "toolProficiency" : [ "LangChain", "LangGraph", "LlamaIndex", "FastAPI" ], "communicationSkills" : "Communicate architectural decisions", "continuousLearning" : "Stay current on AI research", "innovationCreativity" : "Design what doesn't exist; Inventing new combinations; Prototype development", "problemSolvingSkills" : "Systems thinking; Anticipate failure modes; Evaluate trade-offs", "specialRequirements" : "Work on-site 3 days/week", "outcomesObjectives" : "Create measurable value; Design resilient architectures; Design adaptable architectures; Strengthen AI capabilities", "qualificationsBasic" : "Bachelor's degree, Two years of experience, Experience building applied AI systems, Hands-on experience with knowledge graphs, Experience using LLMs for extraction, Experience designing advanced retrieval systems, Python skills, Fluency with modern AI stacks", "qualificationsPreferred" : "Advanced degree preferred, Experience turning research ideas into production, Hands-on experience with agentic workflows, Ability to build lightweight service layers, Advanced experience with entity resolution, Advanced experience with graph learning, Advanced experience with hybrid database architectures, Experience with major cloud AI ecosystems", "workSiteFlexibility" : "Hybrid", "rawDescription" : "Design and build the knowledge infrastructure that powers Gallup’s most ambitious AI initiatives. As an AI research scientist at Gallup, you will shape AI systems built on some of the richest behavioral datasets in the world. If you bring the rigor of a researcher and the instincts of a systems thinker, and you want to design what doesn't yet exist, you'll thrive in Gallup Labs. About Gallup Labs Gallup Labs is the internal research and incubation engine at Gallup, where the world's most important questions about human behavior meet at the intersection of research and technology. We work on problems that don't have clear road maps: building novel knowledge architectures from decades of behavioral data, designing AI systems that surface talent signals and prototyping the next generation of human-centered intelligence tools for a variety of markets. What You’ll Do Design, prototype and evaluate applied AI systems for knowledge representation, retrieval and agentic reasoning Build knowledge architectures that combine knowledge graphs, vector databases, RAG pipelines and hybrid retrieval approaches for behavioral and scientific data Own core retrieval infrastructure, including ontology design, schema design, embeddings, indexing, LLM-based extraction, entity resolution, graph storage and query patterns Translate ambiguous research questions into clear technical approaches, experiments and working systems Create evaluation frameworks for reasoning quality, retrieval accuracy, scalability and real-world impact Partner with researchers, product leaders and technologists to integrate knowledge systems into larger AI workflows and communicate architectural decisions clearly Stay current on applied AI research and identify techniques that can strengthen Gallup’s AI capabilities What Makes You Stand Out Entrepreneurial mindset: You are relentlessly curious about what could exist, spot unmet needs and take ownership of turning technical possibility into systems that create measurable value. Systems thinking: You instinctively see how technical components interact, anticipate failure modes and design and test architectures that are resilient and adaptable. Architectural creativity: You evaluate trade-offs across graph, vector and hybrid systems and are energized by inventing new combinations when standard approaches fall short. What You Need Required Bachelor’s degree in computer science, data science, applied mathematics, cognitive science or a related quantitative field, plus two years of experience, or an advanced degree in ML, NLP, information science or computational social science Experience building applied AI systems, knowledge architectures or advanced data systems in industry, research or comparable settings Strong hands-on experience with knowledge graphs, including ontology and schema design, extraction pipelines, graph storage and traversal Experience using LLMs for structured extraction of entities, relations and attributes Experience designing advanced retrieval systems and evaluating reasoning and extraction quality Strong Python skills and fluency with modern AI development stacks such as LangChain, LangGraph or LlamaIndex A commitment to working on-site at Gallup’s Washington, D.C., office at least three days per week Preferred Experience turning research ideas into production-ready AI systems Hands-on experience with agentic workflows, including multi-step reasoning, tool use and planner/executor patterns Ability to build lightweight service layers and interfaces, such as FastAPI, to inspect and evaluate extraction and retrieval quality Advanced experience with entity resolution, graph learning or hybrid database architectures that combine graph, vector and relational systems Experience with major cloud AI ecosystems such as Azure OpenAI, AWS Bedrock, GCP Vertex or comparable self-hosted solutions About Gallup At Gallup, we change the world, one client at a time, through extraordinary analytics and advice on everything important facing humankind. Learn more about our work and life at Gallup. Gallup offers a robust benefits package that includes medical, dental, vision, life and other insurance options; a fully vested 401(k) retirement savings plan with company matching; an employee stock ownership program; mass transit reimbursement; family-building benefits; an employee assistance program; and various reimbursements and activities that enhance our associates’ wellbeing. We also offer an estimated annual salary range of $165,000-$225,000 for this role. Salaries are based on a variety of factors, including an individual’s education, experience and skills. Gallup is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender identity, or any other legally protected basis, in accordance with applicable law. To review Gallup’s Privacy Statement, please click this link: https://www.gallup.com/privacy. This privacy policy is meant to help you understand what information we collect, why we collect it, and how you can update, manage and delete your information. Your application and the information you provide will be processed and stored in the United States. #LI-Hybrid #LI-KW1", "summaryDescription" : "AI Research Scientist at Gallup. Skills: AI systems, Knowledge architectures, Retrieval systems, LLM extraction. Design applied AI systems. Prototype applied AI systems", "postedDate" : "2026-06-13T20:18:32.686", "createdAt" : "2026-06-13T20:18:32.686", "lastUpdated" : "2026-06-15T03:44:52.035", "ingestTimestamp" : "2026-06-13T20:18:32.686", "mongoId" : "6a2c6ba374d8ee00a0913b63", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 165000, "salaryAnnualMax" : 225000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Ontology design", "Schema design", "Embeddings", "Indexing", "LLM-based extraction", "Entity resolution", "Graph traversal", "Retrieval systems", "Reasoning quality", "Extraction quality", "Agentic workflows", "Multi-step reasoning", "Tool use", "Planner/executor patterns", "Service layers", "Hybrid database architectures", "Entrepreneurial mindset", "Systems thinking", "Architectural creativity", "AI systems", "Knowledge architectures", "LLM extraction", "Research questions", "Technical approaches", "Evaluation frameworks", "Architectural decisions", "Knowledge representation", "Retrieval", "Agentic reasoning", "Knowledge graphs", "Vector databases", "RAG pipelines", "Hybrid retrieval", "Behavioral data", "Scientific data", "Graph storage", "Query patterns", "Retrieval accuracy", "Scalability", "Real-world impact", "Graph learning", "Cloud AI ecosystems", "LangChain", "LangGraph", "LlamaIndex", "FastAPI" ], "skillCount" : 46, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 637.64874, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69cf26122beec4dd3d90b483", "title" : "Cell Therapy Specialist RN - Bone Marrow Transplant", "company" : "Tampa General Hospital", "industry" : "Healthcare", "salary" : { "min" : 86000.0, "max" : 118000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for a Cell Therapy Specialist RN in Tampa, Florida, with 3-5 years of experience, adjusted for the healthcare industry and mid-seniority level." }, "location" : "United States-Florida-Tampa", "locations" : [ "United States-Florida-Tampa", "
Transplant (TRANSPLANT)
409 Bayshore Blvd. 4th Floor

Tampa, 33606

" ], "certifications" : [ "Active RN license", "Blood & Marrow Transplant Certified Nurse (BMTCN)", "Transplantation and Cellular Therapy Certified Nurse (TCTCN)", "Oncology Nursing Society Chemotherapy (ONS) certification", "Basic Life Support (BLS) certification", "Advanced Cardiovascular Life Support (ACLS) certification" ], "timestamp" : "2026-06-15T09:35:33.614", "fingerprint" : "c7467d73dcd429b4b59a256dd88fc0217e62cb4fc6ec858cc0b598a2081e0ee2", "source" : "taleo", "language" : "en", "applyUrl" : "https://tgh.taleo.net/careersection/ex/jobdetail.ftl?job=676427", "externalId" : "676427", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tampa", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "27.9449854,-82.4583107" } ], "locationText" : "Tampa, Florida, United States", "experienceMinYears" : 3, "experienceMaxYears" : 5, "professionalSkills" : [ "Nursing care", "Care coordination", "Protocol development" ], "hardSkillsList" : [ "Bone marrow transplant", "Cellular therapy", "Hematology" ], "hardSkills" : [ { "name" : "Bone marrow transplant", "level" : "intermediate" }, { "name" : "Cellular therapy", "level" : "intermediate" }, { "name" : "Hematology", "level" : "intermediate" } ], "majorSkills" : "Cell Therapy, Bone Marrow Transplant, Oncology Nursing", "majorSkillsList" : [ "Cell Therapy", "Bone Marrow Transplant", "Oncology Nursing" ], "coreResponsibilities" : "Provide comprehensive nursing care, Plan and implement care, Document assessments, Identify situations requiring intervention, Develop goal-directed care plans, Safeguard patient rights, Serve as expert clinical resource, Coordinate care across continuum, Contribute to protocol development, Contribute to safety standards, Contribute to patient education", "teamCollaboration" : "Transplant teams; Oncology teams; Apheresis teams; Laboratory teams; Infusion teams; Research teams", "domainKnowledge" : "Bone Marrow Transplant; Cellular Therapy; Oncology; Hematology", "domainList" : [ "bone-marrow-transplant", "cellular-therapy", "oncology", "hematology" ], "domainSpecificKnowledge" : [ "Bone Marrow Transplant", "Cellular Therapy", "Oncology", "Hematology" ], "documentationSkills" : "Documenting assessments", "outcomesObjectives" : "Ensure optimal outcomes", "qualificationsBasic" : "Active RN license, 3–5 years clinical experience, ONS certification within 90 days, BLS certification, ACLS certification", "qualificationsPreferred" : "BMTCN within 1 year, TCTCN within 1 year", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "Under general supervision and in accordance with established policies, procedures, and professional standards, provides comprehensive nursing care to patients. 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. Plan and implement care", "createdAt" : "2026-06-14T02:54:28.564", "lastUpdated" : "2026-06-15T09:35:33.614", "ingestTimestamp" : "2026-06-14T02:54:28.564", "mongoId" : "69cf26122beec4dd3d90b483", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 86000, "salaryAnnualMax" : 118000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Bone marrow transplant", "Cellular therapy", "Hematology", "Cell Therapy", "Bone Marrow Transplant", "Oncology Nursing", "Nursing care", "Care coordination", "Protocol development", "Cellular Therapy", "Oncology", "Active RN license", "Blood & Marrow Transplant Certified Nurse (BMTCN)", "Transplantation and Cellular Therapy Certified Nurse (TCTCN)", "Oncology Nursing Society Chemotherapy (ONS) certification", "Basic Life Support (BLS) certification", "Advanced Cardiovascular Life Support (ACLS) certification" ], "skillCount" : 17, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 636.68475, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a210e3374d8ee00a0af634b", "title" : "Senior Staff Research Data Scientist, DevIE", "industry" : "Technology", "salary" : { "min" : 200000.0, "max" : 300000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Staff Research Data Scientist in Sunnyvale, United States, adjusted for seniority and industry." }, "location" : "[Sunnyvale, CA, USA, [111 W Java Dr, Sunnyvale, CA 94089, USA], Sunnyvale, 94089, CA, US]", "locations" : [ "[Sunnyvale, CA, USA, [111 W Java Dr, Sunnyvale, CA 94089, USA], Sunnyvale, 94089, CA, US]" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T12:30:27.593", "fingerprint" : "46caa61f5b415962724c743a05d4d61cccceba2e1af21aa3d88517adc1c4f938", "source" : "google", "language" : "en", "externalId" : "104471617785995974", "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", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, SQL, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, SageMaker, GCP, Vertex AI, Azure, ML Studio", "professionalSkills" : [ "Quantitative analysis", "Statistical modeling", "Machine learning", "Data engineering", "Business intelligence", "Analytics engineering" ], "hardSkillsList" : [ "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "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, Data Science, Statistical Modeling", "majorSkillsList" : [ "Machine Learning", "Data Science", "Statistical Modeling" ], "coreResponsibilities" : "Conduct research and develop novel ML models, Design and implement data pipelines, Build and maintain BI dashboards, Analyze complex datasets, Collaborate with engineering teams, Communicate findings to stakeholders", "teamCollaboration" : "Cross-functional teams; Engineering teams; Product 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" : [ "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Present findings; Communicate results", "problemSolvingSkills" : "Problem solving; Analytical skills", "qualificationsBasic" : "5+ years of experience, SQL proficiency, Master's degree in Computer Science, Statistics, Mathematics, or related quantitative field", "qualificationsPreferred" : "PhD preferred, Experience with specific ML frameworks, Cloud platform certifications", "remoteFriendly" : false, "summaryDescription" : "Senior Staff Research Data Scientist, DevIE. Skills: Machine Learning, Data Science, Statistical Modeling. Conduct research and develop novel ML models. Design and implement data pipelines", "postedDate" : "2026-06-16T01:48:37.900", "createdAt" : "2026-06-16T01:48:37.900", "lastUpdated" : "2026-06-16T12:30:27.593", "ingestTimestamp" : "2026-06-16T01:48:37.900", "mongoId" : "6a210e3374d8ee00a0af634b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 200000, "salaryAnnualMax" : 300000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Machine Learning", "Data Science", "Statistical Modeling", "Quantitative analysis", "Statistical modeling", "Machine learning", "Data engineering", "Business intelligence", "Analytics engineering", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "_score" : 622.23944, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69d3e6b92beec4dd3d3f741f", "title" : "Research Scientist II", "company" : "ADCI", "industry" : "Machine Learning Science, Research Science, cx and business trends", "salary" : { "min" : 1750000.0, "max" : 2750000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Research Scientist II in Bengaluru, India, adjusted for the Technology industry and company size." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T03:52:28.583", "fingerprint" : "74276195a0fe751b3ea40e3c9fcca9aa9dffe56da5a3ca822203c46186e4ccb3", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10383644/apply", "externalId" : "71330834-6d99-494a-b4d5-c3175c337faa", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "GenAI, NLP, Computer Vision, Deep learning, LLM, Machine learning, Statistical techniques", "professionalSkills" : [ "Research strategy", "Experiment strategy", "Business innovation", "Product strategy" ], "hardSkillsList" : [ "Multi-modal understanding", "Task automation", "Supervised techniques", "Unsupervised techniques", "Multi-task learning", "Multi-label classification", "Aspect extraction", "Topic extraction", "Image retrieval", "Text retrieval", "Pattern recognition", "Anomaly detection" ], "softSkillsList" : [ "Mentoring", "Scientific thinking" ], "hardSkills" : [ { "name" : "Multi-modal understanding", "level" : "intermediate" }, { "name" : "Task automation", "level" : "intermediate" }, { "name" : "Supervised techniques", "level" : "intermediate" }, { "name" : "Unsupervised techniques", "level" : "intermediate" }, { "name" : "Multi-task learning", "level" : "intermediate" }, { "name" : "Multi-label classification", "level" : "intermediate" }, { "name" : "Aspect extraction", "level" : "intermediate" }, { "name" : "Topic extraction", "level" : "intermediate" }, { "name" : "Image retrieval", "level" : "intermediate" }, { "name" : "Text retrieval", "level" : "intermediate" }, { "name" : "Pattern recognition", "level" : "intermediate" }, { "name" : "Anomaly detection", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" }, { "name" : "Scientific thinking" } ], "majorSkills" : "Machine Learning, NLP, Computer Vision, GenAI", "majorSkillsList" : [ "Machine Learning", "NLP", "Computer Vision", "GenAI" ], "coreResponsibilities" : "Design and deploy scalable GenAI solutions, Design and deploy scalable NLP solutions, Design and deploy scalable Computer Vision solutions, Develop novel LLM techniques, Develop deep learning techniques, Develop statistical techniques, Define research strategy, Define experiments strategy, Partner with business teams, Partner with engineering teams, Identify complex problems, Solve complex problems, Coach team members, Mentor team members, Contribute to professional development, Improve technical knowledge, Improve engineering practices, Guide team to file patents, Guide team to publish research, Impact large product strategy, Identify new business opportunities, Provide strategic direction", "teamCollaboration" : "Business teams; Engineering teams; Research teams; Technical teams", "domainKnowledge" : "Customer experience; Selling partner experience; Multi-modal understanding; LLM Agents; Customer Anecdote Mining; Product groupings; Duplicate listings; Amazon Stores Operations", "domainList" : [ "customer-experience", "selling-partner-experience", "multi-modal-understanding", "llm-agents", "customer-anecdote-mining", "product-groupings", "duplicate-listings", "amazon-stores-operations" ], "domainSpecificKnowledge" : [ "Customer experience", "Selling partner experience", "Multi-modal understanding", "LLM Agents", "Customer Anecdote Mining", "Product groupings", "Duplicate listings", "Amazon Stores Operations" ], "communicationSkills" : "Excellent communication skills; Verbal communication skills; Written communication skills", "innovationCreativity" : "Scientific innovation; Invent", "problemSolvingSkills" : "Problem solving", "qualificationsBasic" : "1 year of relevant applied research experience with PhD, 3+ years of research experience with a Masters’ degree, Expert in Computer Vision or NLP, Good understanding of both Computer Vision and NLP", "qualificationsPreferred" : "Post Graduate degree (MS or PhD), Scientific thinking, Track record of thought leadership, Solid understanding of machine learning, Solid understanding of deep learning algorithms, Solid understanding of computational complexity, CS fundamentals in data structures, CS fundamentals in problem solving, CS fundamentals in algorithm design, CS fundamentals in complexity analysis", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "RBS (Retail Business Services) Tech team works towards enhancing the customer experience (CX) and their trust in product data by providing technologies to find and fix Amazon CX defects at scale. Our platforms help in improving the CX in all phases of customer journey, including selection, discoverability & fulfilment, buying experience and post-buying experience (product quality and customer returns). The team also develops GenAI platforms for automation of Amazon Stores Operations. As a Sciences team in RBS Tech, we focus on foundational ML research and develop scalable state-of-the-art ML solutions to solve the problems covering customer experience (CX) and Selling partner experience (SPX). We work to solve problems related to multi-modal understanding (text and images), task automation through multi-modal LLM Agents, supervised and unsupervised techniques, multi-task learning, multi-label classification, aspect and topic extraction for Customer Anecdote Mining, image and text similarity and retrieval using NLP and Computer Vision for product groupings and identifying duplicate listings in product search results. Key job responsibilities As an Research Scientist, you will be responsible to design and deploy scalable GenAI, NLP and Computer Vision solutions that will impact the content visible to millions of customer and solve key customer experience issues. You will develop novel LLM, deep learning and statistical techniques for task automation, text processing, image processing, pattern recognition, and anomaly detection problems. You will define the research and experiments strategy with an iterative execution approach to develop AI/ML models and progressively improve the results over time. You will partner with business and engineering teams to identify and solve large and significantly complex problems that require scientific innovation. You will help the team leverage your expertise, by coaching and mentoring. You will contribute to the professional development of colleagues, improving their technical knowledge and the engineering practices. You will independently as well as guide team to file for patents and/or publish research work where opportunities arise. The RBS org deals with problems that are directly related to the selling partners and end customers and the ML team drives resolution to organization level problems. Therefore, the Research Scientist role will impact the large product strategy, identifies new business opportunities and provides strategic direction which is very exciting. Basic Qualifications: - PhD, or Master's degree - 1 year of relevant applied research experience with PhD or 3+ years of research experience with a Masters’ degree in Electrical Engineering, Computer Science, Computer Engineering, Mathematics, or related field with specialization in Machine Learning, NLP, Computer Vision, Deep Learning, or GenAI related fields. - Should be an expert in either Computer Vision or NLP and have a good understanding of the both. - Excellent communication skills Preferred Qualifications: - Post Graduate degree (MS or PhD) in Electrical Engineering, Computer Science, Mathematics or Physics with specialization in ML, NLP or Computer Vision. - Strong verbal/written communication skills, including an ability to effectively collaborate with both research and technical teams. - Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field. - Solid understanding of machine learning, deep learning algorithms and computational complexity. - Strong CS fundamentals in data structures, problem solving, algorithm design and complexity analysis. 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" : "Research Scientist II at ADCI. Skills: Machine Learning, NLP, Computer Vision, GenAI. Design and deploy scalable GenAI solutions. Design and deploy scalable NLP solutions", "postedDate" : "2026-06-13T09:30:09.120", "createdAt" : "2026-06-13T09:30:09.120", "lastUpdated" : "2026-06-15T03:52:28.583", "ingestTimestamp" : "2026-06-13T09:30:09.120", "mongoId" : "69d3e6b92beec4dd3d3f741f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10383644/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Multi-modal understanding", "Task automation", "Supervised techniques", "Unsupervised techniques", "Multi-task learning", "Multi-label classification", "Aspect extraction", "Topic extraction", "Image retrieval", "Text retrieval", "Pattern recognition", "Anomaly detection", "Mentoring", "Scientific thinking", "Machine Learning", "NLP", "Computer Vision", "GenAI", "Research strategy", "Experiment strategy", "Business innovation", "Product strategy", "Customer experience", "Selling partner experience", "LLM Agents", "Customer Anecdote Mining", "Product groupings", "Duplicate listings", "Amazon Stores Operations" ], "skillCount" : 29, "jobCategory" : "data", "dataQualityScore" : 1.0, "_score" : 610.36444, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c750074d8ee00a0935d96", "title" : "Staff Research Scientist, Exotic AI", "company" : "Snowflake", "industry" : "Engineering", "salary" : { "min" : 236000.0, "max" : 339200.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "US-WA-Bellevue", "locations" : [ "US-WA-Bellevue" ], "timestamp" : "2026-06-16T03:08:36.961", "fingerprint" : "544cbdebabe2f7ffe1f4c3fb966420c74da97e20809f216b73273b1afb635ed0", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Snowflake/52925922-7cfc-4ee5-bcd2-a52850a7c067/application", "externalId" : "52925922-7cfc-4ee5-bcd2-a52850a7c067", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, CLIP, SigLIP, DINO, MAE, I-JEPA, V-JEPA, Cosmos, Genie, Sora, AWS, GCP, Azure", "professionalSkills" : [ "System design", "Performance optimization", "Research translation" ], "hardSkillsList" : [ "Representation learning", "World models", "Reinforcement learning", "Generative modeling", "Robotics embodied AI", "Scientific ML", "Large-scale model training", "Distributed compute", "Latent dynamics modeling", "Model-based RL", "Physics-informed neural networks", "Molecular modeling", "Materials science", "Weather climate modeling", "Video generation", "Neural simulation" ], "hardSkills" : [ { "name" : "Representation learning", "level" : "intermediate" }, { "name" : "World models", "level" : "intermediate" }, { "name" : "Reinforcement learning", "level" : "intermediate" }, { "name" : "Generative modeling", "level" : "intermediate" }, { "name" : "Robotics embodied AI", "level" : "intermediate" }, { "name" : "Scientific ML", "level" : "intermediate" }, { "name" : "Large-scale model training", "level" : "intermediate" }, { "name" : "Distributed compute", "level" : "intermediate" }, { "name" : "Latent dynamics modeling", "level" : "intermediate" }, { "name" : "Model-based RL", "level" : "intermediate" }, { "name" : "Physics-informed neural networks", "level" : "intermediate" }, { "name" : "Molecular modeling", "level" : "intermediate" }, { "name" : "Materials science", "level" : "intermediate" }, { "name" : "Weather climate modeling", "level" : "intermediate" }, { "name" : "Video generation", "level" : "intermediate" }, { "name" : "Neural simulation", "level" : "intermediate" } ], "majorSkills" : "Representation learning, World models, Generative modeling, Policy optimization", "majorSkillsList" : [ "Representation learning", "World models", "Generative modeling", "Policy optimization" ], "coreResponsibilities" : "Design and build scalable training infrastructure, Develop latent world models, Architect and implement action/policy model pipelines, Build generative simulator frameworks, Develop multimodal generative model capabilities, Lead cross-team technical decisions, Drive research-to-production pathways, Translate prototype systems into platform capabilities, Contribute to the broader research community", "teamCollaboration" : "Cross-team technical initiatives", "domainKnowledge" : "Physical AI; Structured environments; Vision-language-action models; Video world models; Multimodal generative models; Molecular modeling; Materials science; Weather climate modeling", "domainList" : [ "physical-ai", "structured-environments", "vision-language-action-models", "video-world-models", "multimodal-generative-models", "molecular-modeling", "materials-science", "weather-climate-modeling" ], "domainSpecificKnowledge" : [ "Physical AI", "Structured environments", "Vision-language-action models", "Video world models", "Multimodal generative models", "Molecular modeling", "Materials science", "Weather climate modeling" ], "innovationCreativity" : "Experimental mindset", "qualificationsBasic" : "8+ years of relevant experience, MS or Ph. D. in Computer Science, Machine Learning, Robotics, Physics, or a related field, or equivalent experience, Software engineering fundamentals, Track record of translating research ideas into working systems at scale", "qualificationsPreferred" : "Experience with latent dynamics modeling, Model-based RL experience, Physics-informed neural networks experience, Contributions to open-source ML frameworks, Foundation model training codebases contributions, Background in scientific/structured models, Experience building controllable video generation, Neural simulation environments experience, Publications at top venues", "rawDescription" : "At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset, rapidly testing emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is about empowering enterprises to achieve their full potential, and people too. With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology and careers to the next level. We are hiring a Staff Research Scientist, Exotic AI for our AI Research team. You will build the next-generation training and learning platform for physical AI: models that perceive, reason about, and act within structured environments. This is a greenfield effort at the intersection of representation learning, world models, and policy optimization. You will help define its technical direction from day one. AS A STAFF RESEARCH SCIENTIST, EXOTIC AI AT SNOWFLAKE, YOU WILL: - Design and build scalable training infrastructure for representation models (e.g., contrastive and self-supervised approaches like CLIP/SigLIP, DINO/MAE, and joint-embedding predictive architectures) - Develop latent world models that learn environment dynamics through imagined rollouts, enabling model-based reasoning and planning (Dreamer-style, I-JEPA/V-JEPA families) - Architect and implement action/policy model pipelines, including vision-language-action models and diffusion-based policy learning - Build generative simulator frameworks that produce controllable, physically plausible future states (video world models in the spirit of Cosmos/Genie/Sora) - Develop multimodal generative model capabilities that fuse visual, language, and structured inputs for downstream reasoning and decision-making - Lead cross-team technical decisions on training frameworks, data pipelines, and model evaluation infrastructure - Drive research-to-production pathways, translating prototype systems into reliable, performant platform capabilities - Contribute to the broader research community through publications, open-source releases, and collaboration with academic partners OUR IDEAL STAFF RESEARCH SCIENTIST, EXOTIC AI WILL HAVE: - 8+ years of relevant experience in machine learning engineering, AI research, or a closely related field (or equivalent experience) - Deep expertise in at least two of the following: representation learning, world models, reinforcement learning, generative modeling, robotics/embodied AI, or scientific ML - Hands-on experience training large-scale models (vision, language, or multimodal) with distributed compute - Strong software engineering fundamentals: system design, performance optimization, and production-quality code - Demonstrated ability to drive cross-team technical initiatives with ambiguity and limited direction - Track record of translating research ideas into working systems at scale - MS or Ph.D. in Computer Science, Machine Learning, Robotics, Physics, or a related field, or equivalent experience BONUS POINTS FOR THE FOLLOWING: - Experience with latent dynamics modeling, model-based RL, or physics-informed neural networks (GraphCast, FourCastNet, AlphaFold-style architectures) - Contributions to open-source ML frameworks or foundation model training codebases - Background in scientific/structured models (molecular modeling, materials science, weather/climate) - Experience building controllable video generation or neural simulation environments - Publications at top venues (NeurIPS, ICML, ICLR, CVPR, CoRL, RSS) WHY JOIN OUR AI RESEARCH TEAM AT SNOWFLAKE? This is a rare opportunity to define a new research direction from the ground up. You won't be maintaining existing systems or iterating on someone else's roadmap. You'll be building the foundational training platform for physical AI at a company with the infrastructure, data scale, and research ambition to make it real. Our team already ships frontier models (Arctic LLM, Arctic Inference) and production agentic systems (Snowflake Intelligence). You'll have the resources of a platform company with the pace and autonomy of a research lab. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com http://careers.snowflake.com", "summaryDescription" : "Staff Research Scientist, Exotic AI at Snowflake. Skills: Representation learning, World models, Generative modeling, Policy optimization. Design and build scalable training infrastructure. Develop latent world models", "createdAt" : "2026-06-14T20:12:05.222", "lastUpdated" : "2026-06-16T03:08:36.961", "ingestTimestamp" : "2026-06-14T20:12:05.222", "mongoId" : "6a2c750074d8ee00a0935d96", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 236000, "salaryAnnualMax" : 339200, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Representation learning", "World models", "Reinforcement learning", "Generative modeling", "Robotics embodied AI", "Scientific ML", "Large-scale model training", "Distributed compute", "Latent dynamics modeling", "Model-based RL", "Physics-informed neural networks", "Molecular modeling", "Materials science", "Weather climate modeling", "Video generation", "Neural simulation", "Policy optimization", "System design", "Performance optimization", "Research translation", "Physical AI", "Structured environments", "Vision-language-action models", "Video world models", "Multimodal generative models" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "_score" : 601.59375, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c771b74d8ee00a093bc14", "title" : "Staff Research Scientist, Localization and Mapping", "company" : "Venti Technologies", "industry" : "Engineering", "salary" : { "min" : 240000.0, "max" : 360000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on market data for a Staff Research Scientist in Singapore, adjusted for executive seniority and the technology industry." }, "location" : "Singapore", "locations" : [ "Singapore" ], "timestamp" : "2026-06-16T00:57:53.090", "fingerprint" : "914c17a20198034fcfecc3905a9374ec9d3a3d4238321dc255a8b416da1a0e91", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/goventi/028e492b-88d8-4912-a2aa-516b851d4e02/application", "externalId" : "028e492b-88d8-4912-a2aa-516b851d4e02", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "experienceMinYears" : 7, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "C++, GPU programming, ROS, ROS2, SLAM, Lidar, Camera, GNSS-INS, Kalman Filters, Machine learning", "professionalSkills" : [ "System architecture", "Technical roadmap", "Project prioritization", "Engineering execution" ], "hardSkillsList" : [ "Sensor fusion", "State estimation", "Odometry methods", "Sensor calibration", "Regression testing", "Release validation" ], "softSkillsList" : [ "Mentorship" ], "hardSkills" : [ { "name" : "Sensor fusion", "level" : "intermediate" }, { "name" : "State estimation", "level" : "intermediate" }, { "name" : "Odometry methods", "level" : "intermediate" }, { "name" : "Sensor calibration", "level" : "intermediate" }, { "name" : "Regression testing", "level" : "intermediate" }, { "name" : "Release validation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentorship" } ], "majorSkills" : "Localization, Mapping, Robotics, Autonomous vehicles", "majorSkillsList" : [ "Localization", "Mapping", "Robotics", "Autonomous vehicles" ], "coreResponsibilities" : "Lead research roadmap, Develop essential tools, Generate scalable maps, Scale simulation regression tests, Develop live autonomy stack modules, Lead design and development of localization and mapping, Architect scalable and automated HD map generation, Architect automated map maintenance, Architect automated map regression, Architect automated map deployment pipelines, Develop robust multi-sensor localization solutions, Improve localization accuracy, Improve localization reliability, Define software architecture, Define performance metrics, Define testing strategies, Define deployment standards, Integrate localization and maps, Drive technical roadmap, Drive project prioritization, Drive engineering execution, Support field testing, Support debugging, Support deployment activities", "teamCollaboration" : "Multi-disciplinary autonomy teams; Perception teams; Planning teams; Controls teams; Testing/operations teams; Perception, planning, systems teams; Software infrastructure teams; Data software & services teams", "projectManagementSkills" : [ "Project prioritization" ], "domainKnowledge" : "Robotics; Autonomous vehicles; Localization systems; Mapping systems; Industrial vehicle platforms; Logistics yards; GPS-denied environments; Dynamic industrial environments; GPS interference; HD mapping systems; Real outdoor robotics; Safety critical software; Driverless trucks", "domainList" : [ "robotics", "autonomous-vehicles", "localization-systems", "mapping-systems", "industrial-vehicle-platforms", "logistics-yards", "gps-denied-environments", "dynamic-industrial-environments", "gps-interference", "hd-mapping-systems", "real-outdoor-robotics", "safety-critical-software", "driverless-trucks" ], "domainSpecificKnowledge" : [ "Robotics", "Autonomous vehicles", "Localization systems", "Mapping systems", "Industrial vehicle platforms", "Logistics yards", "GPS-denied environments", "Dynamic industrial environments", "GPS interference", "HD mapping systems", "Real outdoor robotics", "Safety critical software", "Driverless trucks" ], "toolProficiency" : [ "ROS", "ROS2" ], "communicationSkills" : "Technical direction", "problemSolvingSkills" : "Problem-solvers", "qualificationsBasic" : "Ph. D. or Master’s degree, 7+ years of experience, Proficiency in C++, GPU programming experience, Real-time robotic systems experience, Familiar with ROS/ROS2, Deep understanding of SLAM algorithms, Sensor fusion including Lidar, Camera, GNSS-INS, State estimation including Kalman Filters, Lidar and visual odometry methods, HD mapping systems, Tool development and data pipelines, Machine learning approaches for localization, Map features/semantics, Sensor calibration, Degradations/maintenance in real outdoor robotics, Safety critical software development processes, Simulation regression testing, Fleet-scale release validation, Mentoring junior/mid-level engineers, Guiding technical direction, Contributing to organizational growth, Excellent communication skills", "qualificationsPreferred" : "ROS/ROS2 familiarity", "remoteFriendly" : false, "rawDescription" : "A WORLD EMPOWERED BY AUTONOMY. WE BUILD ROBOTIC VEHICLES TO IMPROVE LOGISTICS SAFETY, FORGE A GREENER EARTH, AND ENHANCE HUMAN LIVES. We are a closely-knit team aspiring to change the world through disruptive technology. We are innovators. We are tinkerers. We are problem-solvers. And we have a fair amount of magic dust up our sleeves. We have a plan for fleet-level deployment of autonomous vehicles, and we are looking for the best-of-the-best to join us in making this a reality. ABOUT VENTI TECHNOLOGIES Based in the U.S. and Asia, Venti Technologies is the leader in safe-speed autonomous logistics systems, developing the future of goods transportation. Using rigorous mathematics, deep learning, and theoretically-grounded algorithms, Venti has a proprietary collection of autonomy technologies including a suite of powerful logistics algorithms. Venti’s proven value proposition of saving costs, increasing vehicle utilization, and improving safety is recognized by customers and driving growth. Launched in 2018, Venti brings together an unsurpassed team internationally. The company has autonomous systems deployed in Asia for industrial and logistics sites and a growing pipeline. Venti has offices in Cambridge (Massachusetts, USA), Suzhou (China), and Singapore – our Asian headquarters. We are seeking a Staff Research Scientist, Localization and Mapping to serve as a principal technical authority for our multi-disciplinary autonomy teams. In this individual contributor (IC) role, you will champion the research roadmap, essential tool developments, scalable map generation, scaling of simulation regression tests, and live autonomy stack core modules for safety-critical applications on driverless trucks in complex logistics yards. Our autonomy solutions must overcome environmental challenges not limited to high vibration/shock (industrial vehicle platforms/loads), high environmental change (shipping container stock variance), high occlusions from large actors/structures, all-weather 24-hour everyday operational demands, and high-precision alignments for parking or interfacing with specialized logistics equipment. This role combines cutting-edge research with deep system architecture ownership. You will stay abreast of current research trends and mentor the team to translate advanced robotics algorithms into robust, real-world systems. You will work closely with perception, planning, controls, and testing/operations teams to deliver production-grade autonomy solutions for real-world deployments. Role responsibilities - Lead the design and development of localization and mapping systems for autonomous logistics vehicles - Architect scalable and automated HD map generation, maintenance, regression and deployment pipelines - Develop robust multi-sensor localization solutions using LiDAR, GNSS, IMU, cameras, and wheel odometry - Improve localization accuracy and reliability in GPS-denied or dynamic industrial environments with GPS interference. - Define software architecture, performance metrics, testing strategies, and deployment standards - Collaborate with perception, planning, systems, software infrastructure, and data software & services teams to integrate localization and maps into the autonomy stack - Drive technical roadmap, project prioritization, and engineering execution - Support field testing, debugging, and deployment activities Required experience - Educational Background: Ph.D. or Master’s degree in Computer Science, Robotics, Engineering, or a related field, with a focus on localization and/or mapping for autonomous systems. - 7+ years of experience in robotics, autonomous vehicles, or localization/mapping systems - Strong proficiency in C++, GPU programming, and experience with real-time robotic systems (preferably familiar with ROS/ROS2) - Deep understanding of: - SLAM algorithms - Sensor fusion including Lidar, Camera, GNSS-INS - State estimation including Kalman Filters - Lidar and visual odometry methods - HD mapping systems, including tool development and data pipelines - Machine learning approaches for localization and map features/semantics - Sensor calibration and degradations/maintenance in real outdoor robotics deployments - Safety critical software development processes including simulation regression testing and fleet-scale release validation - Influence & Mentorship: Demonstrated experience mentoring junior/mid-level engineers, guiding technical direction, and contributing to organizational growth through technical excellence. - Collaboration & Communication: Excellent communication skills for working across multidisciplinary teams and influencing technical direction.", "summaryDescription" : "Staff Research Scientist, Localization and Mapping at Venti Technologies. Skills: Localization, Mapping, Robotics, Autonomous vehicles. Lead research roadmap. 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Exam operations; Psychometric methods; Item response theory; Classical test theory; Linear-on-the-fly testing; Computerized adaptive testing; Accreditation standards; ISO/IEC:2012 17024; NCCA", "domainList" : [ "exam-development", "exam-operations", "psychometric-methods", "item-response-theory", "classical-test-theory", "linear-on-the-fly-testing", "computerized-adaptive-testing", "accreditation-standards", "iso-iec-2012-17024", "ncca" ], "domainSpecificKnowledge" : [ "Exam development", "Exam operations", "Psychometric methods", "Item response theory", "Classical test theory", "Linear-on-the-fly testing", "Computerized adaptive testing", "Accreditation standards", "ISO/IEC:2012 17024", "NCCA" ], "communicationSkills" : "Written reports; Oral reports", "continuousLearning" : "Conferences; Publications", "innovationCreativity" : "Research projects", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "PhD or foreign equivalent degree in Statistics, Psychometrics, Educational Measurement, Quantitative Psychology, Data Science, Industrial-Organizational (I/O) Psychology, or a related field, One year of research or work experience, 1 year of experience in large-scale education, licensure, or certification assessment programs, 1 year of experience in operational psychometric tasks, 1 year of experience in at least one complex test design, 1 year of experience in machine learning (ML) or natural language processing (NLP), Programming skills in R or Python", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "MULTIPLE POSITIONS AVAILABLE Employer: AMAZON WEB SERVICES, INC. Offered Position: Research Scientist II Job Location: Seattle, Washington Job Number: AMZ9698004 Position Responsibilities: Perform and support the main psychometric aspects of exam development and operations, including but not limited to automated test assembly, item and test analyses, optimal item bank design, job task analysis, standard setting, quality assurance, and project planning. Conduct main aspects of psychometric analysis in operational work including performing item analysis using psychometric methods, building optimal test forms and pools via optimization techniques, analyzing and monitoring item bank health, setting pass standards via standard setting studies, and supporting Job Task Analysis (JTA) to define and refresh test blueprints. Conduct main aspects of psychometric analysis in developing and applying statistical and psychometric modeling to evaluate and ensure AWS certification exams’ validity, reliability, applicability, efficiency, and accuracy. Participate in research projects to improve existing operational processes and quality using advanced techniques such as Machine Learning (ML), statistical modeling, Natural Language Processing (NLP), Generative Artificial Intelligence (GenAI), etc. Develop automation code using R or Python for psychometric workflow pipeline and other tasks to improve operational efficiencies. Present, interpret, and communicate the results of analyses to stakeholders through written and oral reports. Follow the accreditation standards set by ISO/IEC:2012 17024 and the National Council for Certifying Agencies (NCCA) as they relate to valid psychometric practices. Engage with the professional community through conferences and publications. Position Requirements: PhD or foreign equivalent degree in Statistics, Psychometrics, Educational Measurement, Quantitative Psychology, Data Science, Industrial-Organizational (I/O) Psychology, or a related field and one year of research or work experience in the job offered, or as a Research Scientist, Research Assistant, Software Engineer, or a related occupation. Must have 1 year of experience in the following skill(s): 1. large-scale education, licensure, or certification assessment programs. 2. operational psychometric tasks on large-scale education, licensure, or certification assessment programs including item analysis, equating and scaling, item response theory, classical test theory, form and pool assembly, item bank health analysis, standard setting, and job task analysis. 3. at least one of the complex test designs such as linear-on-the-fly testing (LOFT), computerized adaptive testing (CAT). 4. at least one of the following areas including machine learning (ML) or natural language processing (NLP). 5. Programming skills in at least one script-based programming language (R, Python). Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation. 40 hours / week, 8:00am-5:00pm, Salary Range $136,000/year to $184,000/ year. 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, visit: https://www.aboutamazon.com/workplace/employee-benefits.#0000 Basic Qualifications: Position Requirements: PhD or foreign equivalent degree in Statistics, Psychometrics, Educational Measurement, Quantitative Psychology, Data Science, Industrial-Organizational (I/O) Psychology, or a related field and one year of research or work experience in the job offered, or as a Research Scientist, Research Assistant, Software Engineer, or a related occupation. Must have 1 year of experience in the following skill(s): 1. large-scale education, licensure, or certification assessment programs. 2. operational psychometric tasks on large-scale education, licensure, or certification assessment programs including item analysis, equating and scaling, item response theory, classical test theory, form and pool assembly, item bank health analysis, standard setting, and job task analysis. 3. at least one of the complex test designs such as linear-on-the-fly testing (LOFT), computerized adaptive testing (CAT). 4. at least one of the following areas including machine learning (ML) or natural language processing (NLP). 5. Programming skills in at least one script-based programming language (R, Python).#0000 Preferred Qualifications: Please see job description and the position requirements above. 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.", "summaryDescription" : "Research Scientist II at Amazon Web Services, Inc.. Skills: Psychometrics, Machine Learning, NLP. Perform psychometric aspects of exam development. Support psychometric aspects of exam operations", "postedDate" : "2026-06-13T05:13:05.183", "createdAt" : "2026-06-13T05:13:05.183", "lastUpdated" : "2026-06-14T22:30:34.705", "ingestTimestamp" : "2026-06-13T05:13:05.183", "mongoId" : "69e104432beec4dd3def2927", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10384143/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 184000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Statistical modeling", "Psychometric modeling", "Optimization techniques", "Psychometrics", "Machine Learning", "NLP", "Psychometric analysis", "Test assembly", "Item analysis", "Test blueprints", "Standard setting", "Job task analysis", "Test validity", "Test reliability", "Test efficiency", "Test accuracy", "Project planning", "Exam development", "Exam operations", "Psychometric methods", "Item response theory", "Classical test theory", "Linear-on-the-fly testing", "Computerized adaptive testing", "Accreditation standards", "ISO/IEC:2012 17024", "NCCA" ], "skillCount" : 27, "jobCategory" : "operations", "dataQualityScore" : 1.0, "_score" : 594.61163, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a210e5774d8ee00a0af7083", "title" : "Senior Staff Research Data Scientist, AI Data", "industry" : "Technology", "salary" : { "min" : 220000.0, "max" : 350000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Senior Staff Research Data Scientist in Mountain View, United States, adjusted for the technology industry and senior experience level." }, "location" : "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]", "locations" : [ "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T12:32:43.967", "fingerprint" : "30e1fbb4056308c0617f88b118e8e1b9528bfc28c17b15ecabb540c5e69c2ecd", "source" : "google", "language" : "en", "externalId" : "127735879274767046", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3893889,-122.0832101" } ], "locationText" : "Mountain View, California, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, R, SQL, Spark, Scala, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio", "professionalSkills" : [ "Quantitative analysis", "Data engineering", "Business intelligence", "Analytics engineering" ], "hardSkillsList" : [ "Statistical methods", "ML frameworks", "Modelling skills" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, AI, Data Science", "majorSkillsList" : [ "Machine Learning", "AI", "Data Science" ], "coreResponsibilities" : "Conduct research, Develop models, Design experiments, Analyze data, Build data pipelines, Deploy machine learning models, Collaborate with engineering teams, Communicate findings", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "AI; Machine learning", "domainList" : [ "ai", "machine-learning" ], "domainSpecificKnowledge" : [ "AI", "Machine learning" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Communicate findings", "problemSolvingSkills" : "Problem solving", "qualificationsBasic" : "5+ years of experience", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "summaryDescription" : "Senior Staff Research Data Scientist, AI Data. Skills: Machine Learning, AI, Data Science. Conduct research. Develop models", "postedDate" : "2026-06-16T01:50:26.425", "createdAt" : "2026-06-16T01:50:26.425", "lastUpdated" : "2026-06-16T12:32:43.967", "ingestTimestamp" : "2026-06-16T01:50:26.425", "mongoId" : "6a210e5774d8ee00a0af7083", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 350000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Statistical methods", "ML frameworks", "Modelling skills", "Machine Learning", "AI", "Data Science", "Quantitative analysis", "Data engineering", "Business intelligence", "Analytics engineering", "Machine learning", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "_score" : 586.68616, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7ae774d8ee00a094755c", "title" : "Director of Product Manufacturing", "company" : "Gotion, Inc.", "location" : "Manteno, Illinois, United States", "locations" : [ "Manteno", "Illinois", "United States" ], "certifications" : [ "Six Sigma Black Belt" ], "timestamp" : "2026-06-15T08:48:06.640", "fingerprint" : "8d8be33b6aa2066aef3036cb7d278e7ffce358b02e9b0cb15fd0106cc9f39753", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/gotion/jobs/8447288002", "externalId" : "8447288002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Manteno", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Manteno, Illinois, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceLevel" : "Director", "technicalSkills" : "lithium-ion cell processes", "professionalSkills" : [ "Knowledge of U. 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Experience bringing a gigafactory or greenfield/repurposed manufacturing facility into production.", "teamCollaboration" : "Demonstrated leadership in a fast‑paced environment with large and diverse teams.", "problemSolvingSkills" : "system design", "qualificationsBasic" : "At least 5 years in battery cell manufacturing or a related field (e. g. , semiconductors, chemicals, advanced materials).", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Gotion Inc. is based in Silicon Valley, CA, currently building a Manufacturing facility in Manteno, IL and has R at least 5 years in battery cell manufacturing or a related field (e.g., semiconductors, chemicals, advanced materials). Proven experience launching or scaling multi‑GW‑scale manufacturing or similarly complex facilities. Strong knowledge of lithium‑ion cell processes (electrode mixing, coating, calendering, stacking/winding, electrolyte filling, formation, OCV/aging, EOL testing). Demonstrated leadership in a fast‑paced environment with large and diverse teams. Experience bringing a gigafactory or greenfield/repurposed manufacturing facility into production. Six Sigma Black Belt or equivalent certification. Knowledge of U. S. regulatory requirements, DOE priorities, and sustainability frameworks. The U. S. base salary range for this full-time position is $200,000.00 - $240,000.00, plus eligibility for 20% bonus and benefits. Our salary ranges are determined by factors such as the role, level, and geographic location. The range listed in the job posting represents the minimum and maximum target salaries for this position across all U. S. locations. Actual compensation within the range will be influenced by the specific work location, along with factors such as job-related skills, experience, and relevant education or training. Your recruiter will provide more details about the specific salary range for your preferred location during the hiring process. Please note that the listed compensation reflects the base salary only and does not include bonus or benefits. 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. At Gotion Inc., we strive to create an environment where everyone feels valued, respected, and empowered to thrive.", "summaryDescription" : "Director of Product Manufacturing at Gotion, Inc.. 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The People Analytics team helps leaders make rigorous, evidence-based talent decisions and ensures that the systems supporting those decisions are valid, reliable, fair, and accountable. ABOUT THE ROLE As a People Data Scientist focused on AI fairness and bias testing, you will help establish how OpenAI evaluates AI-assisted People systems and high-impact talent processes. You will design and conduct rigorous assessments to identify, measure, and mitigate potential bias across the lifecycle of models, agents, decision-support tools, and automated workflows. Your work will span the entire employee life-cycle, such as hiring, performance, promotion, employee development, workforce planning, etc. You will evaluate both technical systems and the broader human-AI decision processes in which they operate, examining not only model performance but also data quality, measurement validity, differential outcomes, human oversight, and unintended consequences. We’re looking for an experienced data scientist or applied researcher who can translate complex fairness questions into defensible evaluation strategies, scalable testing infrastructure, and clear recommendations for technical teams and senior leaders. This role is preferred to be based in San Francisco, CA. IN THIS ROLE, YOU WILL: - Define and lead fairness and bias-testing strategies for AI-assisted People processes, models, agents, and decision-support systems from development through deployment and ongoing monitoring. - Design rigorous algorithmic audits and validation studies, including adverse-impact analysis, subgroup and intersectional evaluation, error-rate analysis, calibration, measurement invariance, reliability, criterion-related validity, and sensitivity testing. - Identify the appropriate fairness criteria for each use case, evaluate tradeoffs among competing definitions of fairness, and clearly document the assumptions, limitations, and residual risks of each approach. - Evaluate end-to-end human-AI decision systems, including model outputs, user behavior, human overrides, escalation pathways, and whether AI assistance changes the quality, consistency, or equity of decisions. - Develop evaluation approaches for generative and agentic AI, including test-set design, counterfactual testing, behavioral evaluation, human-rating studies, robustness testing, and analysis of disparate performance across populations and contexts. - Investigate the sources of observed disparities, including data representation, label and measurement bias, proxy variables, model design, decision thresholds, workflow design, and differential adoption or usage. - Partner with engineering, People Operations, Legal, Privacy, Security, and People Systems teams to recommend and evaluate mitigations such as data improvements, model changes, threshold adjustments, workflow redesign, monitoring controls, and additional human oversight. - Build scalable fairness-evaluation infrastructure, including reusable datasets, automated validation pipelines, regression tests, monitoring systems, self-service tools, and standardized reporting. - Establish research and documentation standards for fairness test plans, dataset and model documentation, validation reports, limitations, monitoring plans, and decision records. - Translate complex findings into concise, decision-ready narratives, helping leaders understand the significance of identified risks, the strength of the evidence, available mitigation options, and remaining uncertainty. YOU MIGHT THRIVE IN THIS ROLE IF YOU HAVE: - Deep expertise in algorithmic fairness, bias measurement, responsible AI, psychometrics, applied statistics, or the evaluation of high-impact decision systems. - Exceptional strength in research design, measurement, experimentation, causal inference, and statistical modeling. - Hands-on experience applying methods such as subgroup and intersectional analysis, adverse-impact testing, equalized-odds and equal-opportunity analysis, demographic-parity assessment, calibration analysis, counterfactual testing, measurement invariance, reliability analysis, and validation studies. - Strong judgment about the limitations of fairness metrics, including the ability to determine which measures are appropriate for a particular decision context rather than applying a single universal definition of fairness. - Experience evaluating machine-learning models, generative AI systems, agents, or human-AI workflows using quantitative and qualitative evidence. - High proficiency in Python or R and SQL, with experience working across complex, sensitive, and imperfect datasets. - Experience building reproducible evaluation pipelines, automated testing frameworks, analytical tools, monitoring systems, or governed research workflows. - Ability to distinguish statistical disparities from their potential causes and to communicate findings without overstating certainty or making unsupported causal or legal conclusions. - Ability to work effectively with technical, operational, legal, privacy, and executive stakeholders and influence consequential decisions through evidence and sound judgment. - Deep curiosity, intellectual humility, strong attention to detail, and a commitment to developing AI systems and organizational processes that work well for people across different backgrounds and circumstances. PREFERRED QUALIFICATIONS - Experience conducting fairness assessments, algorithmic audits, model-risk reviews, adverse-impact analyses, or validation studies in employment or another high-impact domain. - Familiarity with fairness and model-evaluation tools such as Fairlearn, AI Fairness 360, responsible-AI evaluation frameworks, explainability methods, or comparable internal tooling. - Experience evaluating large language models, generative AI systems, safety classifiers, or agentic workflows, including behavioral testing and human evaluation. - Experience with employment selection, talent assessment, psychometrics, organizational research, or the validation of hiring, performance, promotion, or workforce decisions. - Familiarity with responsible-AI frameworks and emerging requirements related to automated employment decision systems, algorithmic auditing, data privacy, and AI governance. - Experience creating model cards, dataset documentation, fairness scorecards, audit reports, monitoring plans, or other review artifacts for high-impact systems. - Advanced degree in Quantitative Psychology, Computer Science, Statistics, Economics, Data Science, Behavioral Science, or a related quantitative field; PhD preferred but not required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. 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The People Analytics team helps leaders make rigorous, evidence-based talent decisions and ensures that the systems supporting those decisions are valid, reliable, fair, and accountable. ABOUT THE ROLE As a People Data Scientist focused on AI fairness and bias testing, you will help establish how OpenAI evaluates AI-assisted People systems and high-impact talent processes. You will design and conduct rigorous assessments to identify, measure, and mitigate potential bias across the lifecycle of models, agents, decision-support tools, and automated workflows. Your work will span the entire employee life-cycle, such as hiring, performance, promotion, employee development, workforce planning, etc. You will evaluate both technical systems and the broader human-AI decision processes in which they operate, examining not only model performance but also data quality, measurement validity, differential outcomes, human oversight, and unintended consequences. We’re looking for an experienced data scientist or applied researcher who can translate complex fairness questions into defensible evaluation strategies, scalable testing infrastructure, and clear recommendations for technical teams and senior leaders. This role is preferred to be based in San Francisco, CA. IN THIS ROLE, YOU WILL: - Define and lead fairness and bias-testing strategies for AI-assisted People processes, models, agents, and decision-support systems from development through deployment and ongoing monitoring. - Design rigorous algorithmic audits and validation studies, including adverse-impact analysis, subgroup and intersectional evaluation, error-rate analysis, calibration, measurement invariance, reliability, criterion-related validity, and sensitivity testing. - Identify the appropriate fairness criteria for each use case, evaluate tradeoffs among competing definitions of fairness, and clearly document the assumptions, limitations, and residual risks of each approach. - Evaluate end-to-end human-AI decision systems, including model outputs, user behavior, human overrides, escalation pathways, and whether AI assistance changes the quality, consistency, or equity of decisions. - Develop evaluation approaches for generative and agentic AI, including test-set design, counterfactual testing, behavioral evaluation, human-rating studies, robustness testing, and analysis of disparate performance across populations and contexts. - Investigate the sources of observed disparities, including data representation, label and measurement bias, proxy variables, model design, decision thresholds, workflow design, and differential adoption or usage. - Partner with engineering, People Operations, Legal, Privacy, Security, and People Systems teams to recommend and evaluate mitigations such as data improvements, model changes, threshold adjustments, workflow redesign, monitoring controls, and additional human oversight. - Build scalable fairness-evaluation infrastructure, including reusable datasets, automated validation pipelines, regression tests, monitoring systems, self-service tools, and standardized reporting. - Establish research and documentation standards for fairness test plans, dataset and model documentation, validation reports, limitations, monitoring plans, and decision records. - Translate complex findings into concise, decision-ready narratives, helping leaders understand the significance of identified risks, the strength of the evidence, available mitigation options, and remaining uncertainty. YOU MIGHT THRIVE IN THIS ROLE IF YOU HAVE: - Deep expertise in algorithmic fairness, bias measurement, responsible AI, psychometrics, applied statistics, or the evaluation of high-impact decision systems. - Exceptional strength in research design, measurement, experimentation, causal inference, and statistical modeling. - Hands-on experience applying methods such as subgroup and intersectional analysis, adverse-impact testing, equalized-odds and equal-opportunity analysis, demographic-parity assessment, calibration analysis, counterfactual testing, measurement invariance, reliability analysis, and validation studies. - Strong judgment about the limitations of fairness metrics, including the ability to determine which measures are appropriate for a particular decision context rather than applying a single universal definition of fairness. - Experience evaluating machine-learning models, generative AI systems, agents, or human-AI workflows using quantitative and qualitative evidence. - High proficiency in Python or R and SQL, with experience working across complex, sensitive, and imperfect datasets. - Experience building reproducible evaluation pipelines, automated testing frameworks, analytical tools, monitoring systems, or governed research workflows. - Ability to distinguish statistical disparities from their potential causes and to communicate findings without overstating certainty or making unsupported causal or legal conclusions. - Ability to work effectively with technical, operational, legal, privacy, and executive stakeholders and influence consequential decisions through evidence and sound judgment. - Deep curiosity, intellectual humility, strong attention to detail, and a commitment to developing AI systems and organizational processes that work well for people across different backgrounds and circumstances. PREFERRED QUALIFICATIONS - Experience conducting fairness assessments, algorithmic audits, model-risk reviews, adverse-impact analyses, or validation studies in employment or another high-impact domain. - Familiarity with fairness and model-evaluation tools such as Fairlearn, AI Fairness 360, responsible-AI evaluation frameworks, explainability methods, or comparable internal tooling. - Experience evaluating large language models, generative AI systems, safety classifiers, or agentic workflows, including behavioral testing and human evaluation. - Experience with employment selection, talent assessment, psychometrics, organizational research, or the validation of hiring, performance, promotion, or workforce decisions. - Familiarity with responsible-AI frameworks and emerging requirements related to automated employment decision systems, algorithmic auditing, data privacy, and AI governance. - Experience creating model cards, dataset documentation, fairness scorecards, audit reports, monitoring plans, or other review artifacts for high-impact systems. - Advanced degree in Quantitative Psychology, Computer Science, Statistics, Economics, Data Science, Behavioral Science, or a related quantitative field; PhD preferred but not required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. 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Cross-functional environment; Work alongside researchers; Work with biologists; Work with bioinformaticians; Work with engineers", "domainKnowledge" : "Beyond Known Biology; Biological dataset; Genetic diversity; Protein sequences; Biological systems; Therapeutic research; Genomics; Sequence modeling; Large-scale deep learning; Unexplored ecosystems", "domainList" : [ "beyond-known-biology", "biological-dataset", "genetic-diversity", "protein-sequences", "biological-systems", "therapeutic-research", "genomics", "sequence-modeling", "large-scale-deep-learning", "unexplored-ecosystems" ], "domainSpecificKnowledge" : [ "Beyond Known Biology", "Biological dataset", "Genetic diversity", "Protein sequences", "Biological systems", "Therapeutic research", "Genomics", "Sequence modeling", "Large-scale deep learning", "Unexplored ecosystems" ], "continuousLearning" : "Coaching available; Personal development", "innovationCreativity" : "Frontier AI models; Novel protein sequences; Novel biology", "problemSolvingSkills" : "Rigorous quantitative thinking; Mathematical structure to hard problems", "outcomesObjectives" : "Accelerate therapeutic research; Accelerate development; See work translated into models; Generate genuinely novel biology", "qualificationsBasic" : "PhD in mathematics, PhD in physics, Publication record at top ML venues", "qualificationsPreferred" : "Experience training models at large scale, Domain knowledge in life sciences, Domain knowledge in genomics, Domain knowledge in computational biology, Familiarity with protein structure, Familiarity with molecular dynamics, Familiarity with biophysical methods, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "workSiteFlexibility" : "Flexible", "rawDescription" : "ABOUT US Basecamp Research is dedicated to solving major challenges in the life sciences by exploring Beyond Known Biology. Our teams build frontier AI models using BaseData, the world's largest ethically-sourced and globally representative biological dataset. Our Global Research Team collects and curates our own biological data through partnerships with more than 152 organizations in 28 countries, giving its AI access to genetic diversity that doesn't exist for models trained on public database sources. This enables Basecamp Research to design novel protein sequences and biological systems that can accelerate therapeutic research and development. In October 2024 we closed Series B and in January 2026 finalised pre-Series C investment from NVIDIA. With hubs both in London, UK as well as Boston Massachusetts, USA and partners with biopharma companies and academic institutions worldwide, our work has been recognized with honors including Fast Company's Top 10 Most Innovative Companies in Biotech and the FT-backed Sifted AI100 list of Europe's leading AI startups. At Basecamp Research, we pride ourselves on being a diverse, exciting, fun, and flexible place to work. Our team of biologists, engineers, ML scientists, field explorers, and operations specialists are united by a sense of adventure and the belief that nature has already designed the solutions to our planet's greatest challenges. If you feel passionate about the power of biology, data, and AI to build a better world, we'd love to hear from you. THE ROLE We are looking for a Senior Research Scientist to join our AI Research team in London. You will work at the intersection of mathematics and machine learning, bringing rigorous quantitative thinking to some of the most challenging problems in biological AI. Our research group is small, collaborative, and operates more like a frontier research lab than a typical biotech team. We train large-scale foundation models on the world's largest and richest metagenomic datasets, and we look for people who can push the mathematical boundaries of what these models can learn and represent. The work requires developing new methods and theories from scratch. This is a role with real ownership. You will shape a research direction within the team, publish at top venues, and see your work translated into models that generate genuinely novel biology. The problems are hard, the data is unique, and the impact is tangible. You'll be reporting to the Head of AI Research and working alongside researchers covering genomics, sequence modeling, and large-scale deep learning, as well as biologists, bioinformaticians, and engineers across the wider company. ABOUT YOU PhD in mathematics, physics, or a closely related quantitative field. Your work in AI and machine learning is driven by curiosity, and you've brought a depth of mathematical thinking that clearly distinguishes your work. You have spent meaningful time on frontier research and you already have an understanding of how top research teams operate, from problem selection to large-scale experimentation to shipping results that matter. Your research interests might span generative models, geometric deep learning, probabilistic modeling, dynamical systems, information geometry, optimization theory, or related areas. What matters most is that you think from first principles and bring mathematical structure to hard problems. You have a strong publication record at top ML venues (NeurIPS, ICML, ICLR, or equivalent) that demonstrates independent thinking and a coherent research arc. You are genuinely curious about biology. Domain expertise is welcome, and what we really care about is that you find it exciting to work with data from unexplored ecosystems encoding billions of years of evolutionary optimization. The best candidates will see biological data as a source of fundamentally new scientific questions. You have low ego, strong collaborative instincts, and a startup mentality. You are comfortable with ambiguity, willing to iterate fast, and happy to work in a small team where everyone contributes across boundaries. NICE TO HAVE Experience training models at large scale (billions of parameters, extreme long context, distributed training, custom architectures). Domain knowledge in life sciences, genomics, or computational biology, e.g., familiarity with protein structure, molecular dynamics, or related biophysical methods. WHAT WE OFFER IN RETURN - Impactful Mission: This is a rare chance to do work that genuinely matters. You'll join a talented, fast-moving team, access unique biological datasets at scale, and see your contributions shape real breakthroughs in AI and curative therapeutics.. - Collaborative Culture: You'll be surrounded by world-class engineers, scientists, and researchers who care deeply about their work and about each other. With offices in London and Boston, we've built a flexible, cross-functional environment where personal development and real ownership aren't just talking points. - High Growth: We truly believe in investing our people we make coaching available to team members during steep growth journeys and we have twice yearly promotion opportunities. People who are really successful here own it and go directly to solve problems at pace and we ensure reward increases with impact. - Comprehensive Benefits: We've built a benefits package people value. That means competitive salary, equity, and private healthcare with no medical history exclusions so strong that means most employees' family members opt into our plan over their own. We also offer Carrot Fertility with IVF stipend, salary sacrifice pension, bike to work scheme, life insurance, and more. 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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. 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Digital and Business Systems teams; Process Sciences and Analytical", "projectManagementSkills" : [ "Structured planning", "Execution-oriented leadership" ], "domainKnowledge" : "Cell Therapy Manufacturing; Regulated environments; GMP-compliant deployment; Cleanroom classifications; Material flows; Batch scheduling; Regulatory filing", "domainList" : [ "cell-therapy-manufacturing", "regulated-environments", "gmp-compliant-deployment", "cleanroom-classifications", "material-flows", "batch-scheduling", "regulatory-filing" ], "domainSpecificKnowledge" : [ "Cell Therapy Manufacturing", "Regulated environments", "GMP-compliant deployment", "Cleanroom classifications", "Material flows", "Batch scheduling", "Regulatory filing" ], "innovationCreativity" : "New technology evaluation; Advanced automation solutions; Digital and AI transformation", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Enable successful adoption at scale; Successful adoption at scale; Accelerate sequential site deployments", "qualificationsBasic" : "Bachelor’s degree in engineering, Minimum 10 years in manufacturing technology implementation, At least 5 years leading full-scale technology deployments, Expertise in at least two of: manufacturing, automation/robotics, AI applications, advanced analytical, Demonstrated track record of leading complex technology implementations, Experience managing new technology introduction", "qualificationsPreferred" : "Master’s degree preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About the position, the Cell Therapy Manufacturing Technology Lead reports to the Head of Cell Therapy Manufacturing and is responsible for providing manufacturing operational perspective on new technology evaluation. The role supports full-scale implementation of new technology platforms and advanced automation solutions across the Cell Therapy Manufacturing supply network. This role serves as the critical interface between technology development functions and the manufacturing supply sites, ensuring that operational constraints are understood early and that robust implementation plans enable successful adoption at scale. Additionally, this role supports development of the execution pathway from proof-of-concept completion through validated, GMP-compliant deployment at supply sites. **You Will:** * Serve as the primary manufacturing representative in technology evaluation activities led by Process Sciences and Analytical Technology; provide input on operational constraints including facility limitations, operator capability requirements, maintenance complexity, scheduling impacts, and GMP compliance considerations that influence technology feasibility and adoption timelines * Evaluate proposed new technologies and platforms against the realities of the manufacturing and quality control environment at supply sites including cleanroom classifications, existing equipment interfaces, material flows, resource models, batch scheduling, and regulatory filing implications * Support proof-of-concept evaluations by providing manufacturing perspective on scalability, operability, integration requirements, and implementation risk; ensure PoC success criteria include manufacturing site-relevant parameters * Develop detailed implementation plans for adoption of new technology and platforms at manufacturing supply sites, including resource requirements, training needs, validation strategies, execution pathways, site sequencing, and go-live criteria * Coordinate technology deployments across the supply network, defining standard implementation playbooks while accommodating site-specific constraints; establish lessons-learned feedback loops to accelerate sequential site deployments * Support the development and implementation of the Cell Therapy Technical Operations digital and AI transformation roadmap in collaboration with the Digital and Business Systems teams for new technology * Support development of training and competency-building plans that enable operators and engineers to effectively utilize new technologies post-implementation **You have:** * Education: Bachelor’s degree in engineering (Mechanical or Robotics), or related discipline, Master’s degree preferred * Experience: Minimum 10 years in manufacturing technology implementation, tech transfer, or engineering with at least 5 years leading full-scale technology deployments in regulated environments * Technical Knowledge: Strong expertise in at least two of: manufacturing, automation/robotics, AI applications, advanced analytical platforms; practical understanding of moving technology from PoC into validated manufacturing operations * Implementation Experience: Demonstrated track record of leading complex, multi-stakeholder technology implementations from planning through qualification and operational handover in regulated manufacturing environments; experience managing new technology introduction alongside existing operations * Skills: Execution-oriented leadership, cross-functional collaboration, structured planning, digital and tech savvy. The ability to bridge the gap between development innovation and manufacturing operational reality; comfortable operating in a matrixed environment, where, influence and partnership drive outcomes The annual base pay for this position ranges from $161,000 to $240,000. Our positions offer eligibility for multiple incentives an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles. Benefits offered include qualified retirement programs, paid time off (i.e., vacation, holiday, and leaves), as well as health, dental, and vision coverage in accordance with the terms of the applicable plans _._ #Hybrid #CellTherapy **Date Posted** 09-Jun-2026 **Closing Date** 29-Jun-2026 Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.", "summaryDescription" : "Technology Lead -Cell Therapy Manufacturing at Mission. Skills: Cell Therapy Manufacturing, Technology implementation, Automation solutions. Serve as manufacturing representative in technology evaluation. 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Positive workplace culture", "domainKnowledge" : "Herpesviruses; Viral immunology; Varicella zoster virus; Herpes simplex virus; Human cytomegalovirus; Human host interaction", "domainList" : [ "herpesviruses", "viral-immunology", "varicella-zoster-virus", "herpes-simplex-virus", "human-cytomegalovirus", "human-host-interaction" ], "domainSpecificKnowledge" : [ "Herpesviruses", "Viral immunology", "Varicella zoster virus", "Herpes simplex virus", "Human cytomegalovirus", "Human host interaction" ], "toolProficiency" : [ "Microscopy", "Image analysis", "Flow cytometry" ], "communicationSkills" : "Effective presentations", "specialRequirements" : "Pre-employment checks, Background checks", "qualificationsBasic" : "PhD in immunology and/or virology, Demonstrated understanding of subject matter, Experience conducting original research, Experience in immunology and/or virology, Significant experience with mammalian cell culture, Experience with flow cytometry, Experience with microscopy, Experience with image analysis, Experience with molecular biology techniques, Experience with cell biology techniques, Experience with immunology-based assays, Experience with analysis of associated data sets, Unrestricted work rights in Australia", "qualificationsPreferred" : "Developing research profile, Developing network of academic partners", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "* **Full time, fixed term for 12 months** * **Exciting opportunity to join the School of Medical Sciences as a Postdoctoral Research Associate** * **Base Salary starting from $113,400 + 17% superannuation ** **About the opportunity** The School of Medical Sciences is recognised as one of the leading centres for medical science education and research. With over 100 years of excellence, the school is committed to advancing knowledge, training future leaders, and delivering impactful research across a range of disciplines. We are seeking a Postdoctoral Research Associate in the Herpesvirus and Viral Immunology group to apply and develop their expertise in conducting high-quality research that advances the research agenda of the faculty or school. The role involves contributing to research activities independently or as part of a team, developing scholarly outputs, and supporting collaborative research initiatives within the discipline. We are seeking to recruit a Postdoctoral Research Associate to provide technical knowledge and expertise in support of the Chief Investigator and other senior investigators to expand the research program on human herpesviruses. The main focus of this role is performing laboratory-based research predominantly working with Varicella zoster virus (VZV), herpes simplex virus (HSV), and human cytomegalovirus (HCMV), mammalian cell culture and molecular biology and immunological based techniques to further our understanding of the complex interplay between these viruses and the human host. Your key responsibilities will be to: * conduct research, scholarly or professional activity independently or as part of a team, contributing to discipline knowledge * develop and refine independent research skills under the supervision of senior academic staff with increasing autonomy * play a supervisory role for Honours and PhD students within the research group * ensure quality, standards and excellence are maintained in research activities and outputs * provide informal mentoring and advice to students within the discipline where appropriate * carry out administrative tasks and contribute to faculty or school meetings * contribute to a positive workplace culture in which diversity of thought, collaboration, excellence and achieving outcomes are valued and enabled * interact with students, staff and members of the university community in a professional, collegial and respectful manner * maintain an understanding of the university’s strategic agenda and contribute to furthering that agenda * contribute to the strategic direction of the faculty or school as articulated through relevant strategic plans * undertake other duties and contribute to projects appropriate within the classification level as required. **About you** * PhD in immunology and/or virology * demonstrated understanding of the subject matter within the discipline * experience conducting original research and engaging in scholarly activity in immunology and/or virology * significant experience with mammalian cell culture and techniques such as flow cytometry, microscopy and image analysis, molecular and cell biology techniques, immunology-based assays and analysis of associated data sets * developing research profile in the discipline or area of expertise * developing network of academic partners * strong skills in research, planning and organisation, computer literacy, effective presentations, communication and customer service **Sponsorship / work rights for** **Australia** **Work Rights: you must have unrestricted work rights in Australia for the duration of this employment to apply. Visa sponsorship is not available for this appointment.** **Pre-employment checks** Your employment is conditional upon the successful completion of all pre-employment or background checks required for the role in terms satisfactory to the University. Also, to meet the University’s obligations under the National Higher Education Code to Prevent and Eliminate Gender-Based Violence you will be asked to declare if you have been investigated for, or found to engaged in, sexual harm or gender-based violence in the course of previous employment or in a legal process. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment. **EEO statement** At the University of Sydney, our shared values are [trust, accountability and excellence](https://www.sydney.edu.au/about-us/vision-and-values.html) and we strive to be a place where everyone can thrive. We are committed to creating a University community that thrives through diversity and reflects the wider community that we serve. We deliver on this through our commitment to [diversity and inclusion](https://www.sydney.edu.au/about-us/vision-and-values/diversity.html), evidenced by our people and culture programs, as well as key strategies to increase participation and support the careers of [Aboriginal and Torres Strait Islander People](https://www.sydney.edu.au/about-us/careers-at-sydney/indigenous-careers.html), [women](https://www.sydney.edu.au/about-us/vision-and-values/diversity/gender-equity.html), [people living with a disability](https://www.sydney.edu.au/about-us/careers-at-sydney/careers-for-people-with-disability.html), [people from culturally and linguistically diverse backgrounds](https://www.sydney.edu.au/about-us/vision-and-values/diversity/cultural-diversity.html), and those who identify as [LGBTIQ+](https://www.sydney.edu.au/about-us/vision-and-values/diversity/lgbtiq-community.html). We welcome applications from candidates from all backgrounds. We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Gold employer. [Find out more about our work on diversity and inclusion](http://sydney.edu.au/about-us/vision-and-values/diversity.html). **How to apply** Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the **Apply** button at the top of the page. For employees of the University or contingent workers, please login into your [**Workday**](https://sydney.edu.au/workday) account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply. For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact, Ajaypal Singh, Recruitment Operations by email to ajaypal.singh@sydney.edu.au. **©** The University of Sydney The University reserves the right not to proceed with any appointment. Click to view the [Position Description](https://unisyd.sharepoint.com/:b:/s/WorkdayIntegration/IQBVjUYnx1DJR6Q-MQI7PkF4AaZK8v19sFmda2qjxorAEMw?download=1) for this role. **Applications Close** Sunday 28 June 2026 11:59 PM", "summaryDescription" : "Postdoctoral Research Associate at The University of Sydney. Skills: Viral immunology, Mammalian cell culture, Molecular biology, Immunology assays. Conduct research. Contribute to discipline knowledge", "postedDate" : "2026-06-16T03:48:54.703", "createdAt" : "2026-06-16T03:48:54.696", "lastUpdated" : "2026-06-16T12:27:11.517", "ingestTimestamp" : "2026-06-16T03:48:54.696", "mongoId" : "6a305571f292fd229cf1f9be", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://usyd.wd105.myworkdayjobs.com/USYD_EXTERNAL_CAREER_SITE/job/Camperdown-Campus/Postdoctoral-Research-Associate---Herpesvirus-and-Viral-Immunology-group_0151250-1", "salaryAnnualMin" : 113400, "salaryAnnualMax" : 113400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Immunology assays", "Data analysis", "Excellence", "Respectful", "Viral immunology", "Mammalian cell culture", "Molecular biology", "Research planning", "Organisation", "Customer service", "Herpesviruses", "Varicella zoster virus", "Herpes simplex virus", "Human cytomegalovirus", "Human host interaction", "Microscopy", "Image analysis", "Flow cytometry" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "executive", "dataQualityScore" : 0.8888889, "_score" : 566.9301, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "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. At Gotion Inc., we strive to create an environment where everyone feels valued, respected, and empowered to thrive.", "summaryDescription" : "Cell Testing Engineer at Gotion, Inc.", "postedDate" : "2026-06-14T20:06:02.004", "createdAt" : "2026-06-14T20:06:02.004", "lastUpdated" : "2026-06-16T01:40:06.888", "ingestTimestamp" : "2026-06-14T20:06:02.004", "mongoId" : "6a2c7ae774d8ee00a094753a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 90000, "salaryAnnualMax" : 150000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 562.7434, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6b2774d8ee00a091078f", "title" : "Director, Manufacturing Science and Technology (MSAT)", "company" : "Obsidian Therapeutics", "location" : "Bedford, MA", "locations" : [ "Bedford", "MA" ], "certifications" : [ ], "timestamp" : "2026-06-15T09:36:37.679", "fingerprint" : "00810ade40d1bc0e0bad94d6b4d04f464d7f75a5829e75163f09936532adeffa", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/obsidiantherapeutics/jobs/6016192004", "externalId" : "6016192004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bedford", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid" } ], "locationText" : "Bedford, Massachusetts, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "BS", "experienceMinYears" : 15, "experienceLevel" : "Director", "technicalSkills" : "cell therapy, gene therapy, viral vector", "professionalSkills" : [ "drug development (preferably autologous cell therapy)" ], "hardSkillsList" : [ "Autologous cell therapy experience", "Knowledge of FDA guidance relevant to cell and gene therapy manufacturing, validation, and lifecycle management", "cGMP requirements applied to autologous cell therapy manufacturing" ], "softSkillsList" : [ "collaboration, transparency, accountability, continuous learning, trust, Urgency, resilience" ], "hardSkills" : [ { "name" : "Autologous cell therapy experience", "level" : "intermediate" }, { "name" : "Knowledge of FDA guidance relevant to cell and gene therapy manufacturing, validation, and lifecycle management", "level" : "intermediate" }, { "name" : "cGMP requirements applied to autologous cell therapy manufacturing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "collaboration, transparency, accountability, continuous learning, trust, Urgency, resilience" } ], "majorSkills" : "MSAT strategy and execution, Process Development, Manufacturing, Quality, CDMO oversight, Process validation, Regulatory submissions", "majorSkillsList" : [ "MSAT strategy and execution, Process Development, Manufacturing, Quality, CDMO oversight, Process validation, Regulatory submissions" ], "coreResponsibilities" : "Serve as the lead MSAT interface to CDMOs, providing technical oversight of clinical manufacturing to ensure consistent production, rapid troubleshooting, and accelerated release of cell therapy drug product, viral vector drug substance, and custom biologic ancillary materials for patients in ongoing trials. Manage escalations through joint governance forums and collaborate with Process Development and External Manufacturing to align on technical decisions and execution. Define and maintain CPPs, CQAs with CDMOs Partner with Process Development and Analytical Development to define process characterization plans, comparability strategy, and lifecycle control approaches. Define and implement a comprehensive control strategy ahead of PPQ to enable consistent process performance, assure product quality, and support a successful validation and regulatory outcome Own and maintain the integrity of process monitoring databases (CPV, PPQ, and lot history), utilizing statistical tools to monitor process variability, analyze trends, detect shifts, quantify variation, identify signals requiring investigation, and drive data-based insights and decisions. Lead manufacturing campaign review processes. Define and lead PPQ strategy and execution, ensuring timely and comprehensive PPQ readiness. Oversee authoring and review of batch records, validation protocols, and validation/verification reports. Ensure documentation is scientifically rigorous, operationally usable, phase-appropriate, and compliant. Drive governance of tech transfer plans, protocols, and and process validation documentation. Structure the MSAT team’s technical materials for BLA readiness, ensuring lifecycle validation documentation is pristine. Author and/or review relevant CMC sections of regulatory submissions, including the compilation and lock of all scientifically rigorous MSAT reports and relevant data packages. Ensure the technical dossier is fully complete and ready for BLA submission. Serve as MSAT subject matter expert in support of FDA interactions, inspection readiness, and PAI execution. Serve as the technical lead in complex or consequential process-related manufacturing investigations/deviations, change controls, complaints, and CAPAs. Partner with External Manufacturing and Quality to ensure consistent investigation standards and timely, effective remediation across CDMO and internal teams. Provide technical leadership for risk management, including facilitating and documenting SIPOC, FMEA, and/or HAZOP to define controls, reduce variability, and mitigate risks. Prepare CDMOs and internal teams for PAI, ensuring audit readiness with complete documentation and lifecycle validation materials.", "teamCollaboration" : "Cultivates collaboration, transparency, and accountability within and across recognizes success requires interdisciplinary thinking and partnership. Inspires confidence, credibility, and trust internally and recognized for high integrity.", "toolProficiency" : [ "JMP, Minitab" ], "communicationSkills" : "Exceptional communication skills in verbal, written, and visual formats, and adapted to the audience", "documentationSkills" : "CMC sections of regulatory submissions; MSAT reports; batch records; validation protocols; validation/verification reports; tech transfer plans; process validation documentation", "continuousLearning" : "supported to continuously learn", "innovationCreativity" : "innovative science", "problemSolvingSkills" : "system design; risk management; SIPOC; FMEA; HAZOP; 5-Why; Fishbone/Ishikawa", "specialRequirements" : "Willingness and ability to travel domestically up to ~30% for on-site CDMO support, including after-hours/weekend coverage when needed to support critical activities.", "outcomesObjectives" : "deliver transformative outcomes for patients", "qualificationsBasic" : "PhD, MS, or BS in Chemical Engineering, Bioengineering, Biology, or related field. 15+ years of progressive experience, including at least 5 years successfully leading late stage and/or commercial MSAT team for a novel therapy in an external manufacturing model. Autologous cell therapy experience. A data driven and detail-oriented mindset, with the ability to drive timely fact-based cross functional analysis and decision making in complex and high consequence scenarios. Knowledge of FDA guidance relevant to cell and gene therapy manufacturing, validation, and lifecycle management (EMA is a plus). experience in: Leading and documenting risk assessments (e. g. , SIPOC, FMEA, and/or HAZOP) and root cause analysis methods (e. g. , 5-Why, Fishbone/Ishikawa) Analyzing and interpreting manufacturing/process data using statistical tools (e. g. , JMP or Minitab) to support trending, investigations, and continuous improvement Process validation (PPQ), CPV, and regulatory submissions BLA/MAA support and inspection readiness cGMP requirements applied to autologous cell therapy manufacturing Client-side oversight of CDMO operations Proven ability to thrive as a leader in a fast-paced dynamic environment, successfully building, motivating, developing, and retaining high performing teams. Willingness and ability to travel domestically up to ~30% for on-site CDMO support, including after-hours/weekend coverage when needed to support critical activities.", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Us… Obsidian Therapeutics is pioneering engineered cell and gene therapies to deliver transformative outcomes for patients. Obsidian’s programs apply our cytoDRiVE® technology in Cell and Gene therapy products to control expression of proteins for enhanced therapeutic efficacy and safety. Obsidian’s lead program is currently in clinical development for the treatment of patients with metastatic melanoma and non-small cell lung cancer. We’re proud of our diverse talented team and committed to cultivating an environment of inclusion where each person feels a strong sense of belonging and is supported to continuously learn and contribute their best work. Our Research team is based in the heart of Cambridge, MA, and Technical Operations team is based in our purpose built facility in Bedford, MA. Obsidianites enjoy a highly collaborative culture, competitive salary and benefits, and potential for ownership through stock options. Our Opportunity... We are looking for a highly motivated Director, MSAT, with a strong background in drug development (preferably autologous cell therapy). You’ll serve as the go-to technical leader for manufacturing operations, solving complex problems and translating data into actionable improvements, helping to drive the development of our first clinical stage autologous cell therapy program targeting solid tumors. You will lead end-to-end MSAT strategy and execution, ensuring seamless progression from late-stage development through PPQ and lifecycle management. As the primary technical anchor between Process Development, Manufacturing, Quality, and our external partners, you’ll ensure the manufacturing processes remain robust, compliant, and efficient; drive deviation investigations to root cause, monitor critical process parameters (CPPs) and critical quality attributes (CQAs), and perform data trending and statistical analysis. You’ll be a vital part of a highly collaborative team working to achieve Obsidian’s vision by translating innovative science into medical breakthroughs for patients starting with our lead program OBX-115, a novel engineered tumor-infiltrating lymphocyte (TIL) therapy. This is a unique opportunity to be a contributor in a well-funded clinical company with blue chip investors, field-leading advisors, best-in-class partners, and an experienced team. You'll help us build a dynamic, innovative, passionate, collaborative, and successful organization focused on delivering transformative therapies in areas of greatest clinical need. This is a Hybrid role based out of our Bedford, MA location. You Will... Core responsibilities Serve as the lead MSAT interface to CDMOs, providing technical oversight of clinical manufacturing to ensure consistent production, rapid troubleshooting, and accelerated release of cell therapy drug product, viral vector drug substance, and custom biologic ancillary materials for patients in ongoing trials. Manage escalations through joint governance forums and collaborate with Process Development and External Manufacturing to align on technical decisions and execution. Define and maintain CPPs, CQAs with CDMOs Partner with Process Development and Analytical Development to define process characterization plans, comparability strategy, and lifecycle control approaches. Define and implement a comprehensive control strategy ahead of PPQ to enable consistent process performance, assure product quality, and support a successful validation and regulatory outcome Own and maintain the integrity of process monitoring databases (CPV, PPQ, and lot history), utilizing statistical tools to monitor process variability, analyze trends, detect shifts, quantify variation, identify signals requiring investigation, and drive data-based insights and decisions. Lead manufacturing campaign review processes. Define and lead PPQ strategy and execution, ensuring timely and comprehensive PPQ readiness. Oversee authoring and review of batch records, validation protocols, and validation/verification reports. Ensure documentation is scientifically rigorous, operationally usable, phase-appropriate, and compliant. Drive governance of tech transfer plans, protocols, and reports; and process validation documentation. Structure the MSAT team’s technical materials for BLA readiness, ensuring lifecycle validation documentation is pristine. Author and/or review relevant CMC sections of regulatory submissions, including the compilation and lock of all scientifically rigorous MSAT reports and relevant data packages. Ensure the technical dossier is fully complete and ready for BLA submission. Serve as MSAT subject matter expert in support of FDA interactions, inspection readiness, and PAI execution. Serve as the technical lead in complex or consequential process-related manufacturing investigations/deviations, change controls, complaints, and CAPAs. Partner with External Manufacturing and Quality to ensure consistent investigation standards and timely, effective remediation across CDMO and internal teams. Provide technical leadership for risk management, including facilitating and documenting SIPOC, FMEA, and/or HAZOP to define controls, reduce variability, and mitigate risks. Prepare CDMOs and internal teams for PAI, ensuring audit readiness with complete documentation and lifecycle validation materials. Align team priorities and focus with company strategy and goals. Drive a team culture of high standards, collaboration, transparency, accountability, continuous learning, and trust.   You Bring... Core Qualifications PhD, MS, or BS in Chemical Engineering, Bioengineering, Biology, or related field 15+ years of progressive experience, including at least 5 years successfully leading late stage and/or commercial MSAT team for a novel therapy in an external manufacturing model. Autologous cell therapy experience. A data driven and detail-oriented mindset, with the ability to drive timely fact-based cross functional analysis and decision making in complex and high consequence scenarios. Knowledge of FDA guidance relevant to cell and gene therapy manufacturing, validation, and lifecycle management (EMA is a plus). Strong experience in: Leading and documenting risk assessments (e.g., SIPOC, FMEA, and/or HAZOP) and root cause analysis methods (e.g., 5-Why, Fishbone/Ishikawa) Analyzing and interpreting manufacturing/process data using statistical tools (e.g., JMP or Minitab) to support trending, investigations, and continuous improvement Process validation (PPQ), CPV, and regulatory submissions BLA/MAA support and inspection readiness cGMP requirements applied to autologous cell therapy manufacturing Client-side oversight of CDMO operations Proven ability to thrive as a leader in a fast-paced dynamic environment, successfully building, motivating, developing, and retaining high performing teams.  Willingness and ability to travel domestically up to ~30% for on-site CDMO support, including after-hours/weekend coverage when needed to support critical activities. Cultivates collaboration, transparency, and accountability within and across teams; recognizes success requires interdisciplinary thinking and partnership. Inspires confidence, credibility, and trust internally and externally; recognized for high integrity. Operates with Urgency, adept at building buy-in and driving alignment within and across teams, senior leadership, and external partners.  Exceptional communication skills in verbal, written, and visual formats, and adapted to the audience.  Tenacious and resilient – has navigated significant challenges (scientific and business) and is not easily daunted.  Excellent organizational skills; able to manage multiple tasks of varying degrees of complexity in parallel.  Remains calm under pressure and leads others through complex situations.  Seeks the data, information, and support needed (internally and externally) to make efficient and informed decisions and meet objectives.   Builds followership by being transparent, persuasive, excited about the work, and willing to work hard together to get the job done.  Continuous learner – actively follows innovations in area of expertise, fosters innovative thinking, and adopts novel approaches that are fit for purpose. Reflective and self-aware; leads by example with a growth mindset.  Bonus Qualifications Prior experience working with TIL or T cells Support of first commercial launch Obsidian is committed to equitable and transparent pay practices. The anticipated base salary range for this role is below. The actual base salary offered will be determined based on a combination of factors, including applicable qualifications, level of education, the depth of experience, unique skills, geographic location, internal equity, and/or business needs. The actual base salary offered will be in accordance with federal, state, and/or local wage requirements for the role’s location. Our competitive compensation package includes an annual incentive bonus as a percentage of actual base salary and long-term incentives in the form of employee stock options, both of which are commensurate with the role’s level. We also offer a generous benefits package which includes comprehensive medical, dental, and vision coverage; company contributions to health savings and retirement accounts; ample paid time off; access to wellness programs; and rich career growth opportunities. Anticipated Base Salary Range $219,000—$267,500 USD Obsidian is proud to be an equal opportunity employer, cultivating a welcoming and diverse environment. All applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status or any other applicable legally protected characteristics.", "summaryDescription" : "Director, Manufacturing Science and Technology (MSAT) at Obsidian Therapeutics. Skills: MSAT strategy and execution, Process Development, Manufacturing, Quality, CDMO oversight, Process validation, Regulatory submissions. Serve as the lead MSAT interface to CDMOs, providing technical oversight of clinical manufacturing to ensure consistent production, rapid troubleshooting, and accelerated release of cell therapy drug product, viral vector drug substance, and custom biologic ancillary materials ", "postedDate" : "2026-06-14T21:27:34.248", "createdAt" : "2026-06-14T21:27:34.248", "lastUpdated" : "2026-06-15T09:36:37.679", "ingestTimestamp" : "2026-06-14T21:27:34.248", "mongoId" : "6a2c6b2774d8ee00a091078f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "Autologous cell therapy experience", "Knowledge of FDA guidance relevant to cell and gene therapy manufacturing, validation, and lifecycle management", "cGMP requirements applied to autologous cell therapy manufacturing", "collaboration, transparency, accountability, continuous learning, trust, Urgency, resilience", "MSAT strategy and execution, Process Development, Manufacturing, Quality, CDMO oversight, Process validation, Regulatory submissions", "drug development (preferably autologous cell therapy)", "JMP, Minitab" ], "skillCount" : 7, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "_score" : 558.11884, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3051ddf292fd229cf08208", "title" : "Research Analyst", "company" : "Kindbridge Research Institute", "industry" : "Healthcare", "salary" : { "min" : 62000.0, "max" : 72000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-16T10:44:40.635", "fingerprint" : "4d03b6bc971c4bb56fb357514f2284ffc693b07561716317251fcf7788ee675c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/kindbridgeresearchinstitute/jobs/4281698009", "externalId" : "4281698009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "technicalSkills" : "Tableau, R, Python", "professionalSkills" : [ "Research synthesis", "Public health analysis", "Policy brief development", "Knowledge translation" ], "hardSkillsList" : [ "Literature reviews", "Evidence scans", "Environmental scans", "Background research", "Data synthesis", "Data interpretation", "Scholarly research", "Applied research", "Knowledge sharing" ], "hardSkills" : [ { "name" : "Literature reviews", "level" : "intermediate" }, { "name" : "Evidence scans", "level" : "intermediate" }, { "name" : "Environmental scans", "level" : "intermediate" }, { "name" : "Background research", "level" : "intermediate" }, { "name" : "Data synthesis", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Scholarly research", "level" : "intermediate" }, { "name" : "Applied research", "level" : "intermediate" }, { "name" : "Knowledge sharing", "level" : "intermediate" } ], "majorSkills" : "Research, Data analysis, Knowledge translation", "majorSkillsList" : [ "Research", "Data analysis", "Knowledge translation" ], "coreResponsibilities" : "Conduct literature reviews, Conduct evidence scans, Conduct environmental scans, Conduct background research, Support development of annual reports, Support development of landscape analyses, Support development of policy briefs, Support development of surveillance products, Support development of research deliverables, Assist with synthesizing findings, Assist with interpreting findings, Assist with communicating findings, Contribute to peer-reviewed manuscripts, Contribute to conference presentations, Contribute to technical reports, Contribute to scholarly research products, Contribute to applied research products, Translate research findings into accessible materials, Create reports, Create fact sheets, Create presentations, Create infographics, Create knowledge-sharing resources, Support emerging research priorities, Support special projects, Maintain research resources, Maintain project documentation, Maintain references, Maintain dissemination materials, Maintain tracking systems, Collaborate with researchers, Collaborate with subject matter experts, Collaborate with academic partners, Collaborate with community stakeholders, Advance statewide research, Advance public health initiatives, Support stakeholder engagement, Support knowledge-sharing activities, Support dissemination efforts", "teamCollaboration" : "Work alongside researchers; Work with public health leaders; Work with community partners; Collaborate with researchers; Collaborate with subject matter experts; Collaborate with academic partners; Collaborate with community stakeholders", "projectManagementSkills" : [ "Project management skills", "Manage multiple priorities independently" ], "domainKnowledge" : "Gambling; Gaming; Digital dependencies; Public health; Behavioral health; Addiction; Gambling-related harms; Health equity; Public health surveillance; Digital well-being", "domainList" : [ "gambling", "gaming", "digital-dependencies", "public-health", "behavioral-health", "addiction", "gambling-related-harms", "health-equity", "public-health-surveillance", "digital-well-being" ], "domainSpecificKnowledge" : [ "Gambling", "Gaming", "Digital dependencies", "Public health", "Behavioral health", "Addiction", "Gambling-related harms", "Health equity", "Public health surveillance", "Digital well-being" ], "communicationSkills" : "Translate complex findings; Actionable insights for diverse audiences", "documentationSkills" : "Develop research reports; Develop policy briefs; Create reports; Create fact sheets; Create presentations; Create infographics; Create knowledge-sharing resources; Maintain project documentation; Maintain dissemination materials", "problemSolvingSkills" : "Synthesizing findings; Interpreting findings", "outcomesObjectives" : "Reduce gambling-related harms; Inform prevention initiatives; Inform treatment initiatives; Inform policy initiatives; Inform public health initiatives", "qualificationsBasic" : "Master's degree in Public Health, Master's degree in Epidemiology, Master's degree in Health Communication, Master's degree in Behavioral Health, Master's degree in a related field, Research experience, Writing experience, Communication skills, Experience conducting literature reviews, Experience conducting research synthesis, Experience conducting public health analysis, Experience developing research reports, Experience developing policy briefs, Organizational skills, Project management skills, Ability to manage multiple priorities independently, Familiarity with health equity frameworks, Experience working with diverse communities, Interest in behavioral health, Interest in addiction, Interest in gambling-related harms, Interest in health equity, Interest in public health surveillance, Interest in digital well-being, Experience working in public health, Experience working in research, Experience working in healthcare, Experience working in nonprofit, Experience working in academic settings", "qualificationsPreferred" : "Familiarity with data analysis tools a plus, Familiarity with statistics tools a plus, Familiarity with data visualization tools a plus, Tableau familiarity a plus, R familiarity a plus, Python familiarity a plus, Similar platforms familiarity a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "At Kindbridge Research Institute (KRI), we are pioneering work in a space that’s still taking shape—gambling-related mental health. As a non-profit at the intersection of research, behavioral health, and community well-being, KRI is leading efforts to better understand gambling behaviors and their impact on vulnerable populations such as veterans, service members, and young adults. Through partnerships with researchers, universities, and public health systems, we deliver data-driven solutions and outreach strategies that promote awareness, prevention, and access to care. We're seeking a passionate Research Analyst who is driven by the opportunity to use research as a force for positive change. As part of the Massachusetts Research & Education Collaborative (REC), you'll support research, surveillance, and knowledge translation efforts that help reduce gambling-related harms across Massachusetts. Working alongside researchers, public health leaders, and community partners, you'll transform data into actionable insights that inform prevention, treatment, policy, and public health initiatives focused on gambling, gaming, and emerging digital dependencies. This is an exciting opportunity for a public health professional who is passionate about applying research to real-world challenges and improving health outcomes for communities across Massachusetts. What You'll Do: Conduct literature reviews, evidence scans, environmental scans, and background research on gambling, gaming, digital dependencies, and related public health topics Support the development of annual reports, landscape analyses, policy briefs, surveillance products, and other research deliverables Assist with synthesizing, interpreting, and communicating findings from a variety of data sources Contribute to peer-reviewed manuscripts, conference presentations, technical reports, and other scholarly or applied research products Translate research findings into accessible materials for policymakers, healthcare providers, community organizations, and public audiences Create reports, fact sheets, presentations, infographics, and other knowledge-sharing resources Support emerging research priorities and special projects identified through stakeholder engagement, surveillance findings, and public health needs Maintain research resources, project documentation, references, dissemination materials, and tracking systems Collaborate with researchers, subject matter experts, academic partners, and community stakeholders to advance statewide research and public health initiatives Support stakeholder engagement, knowledge-sharing activities, and dissemination efforts across Massachusetts What You'll Bring: Master's degree in Public Health, Epidemiology, Health Communication, Behavioral Health, or a related field Strong research, writing, and communication skills, including the ability to translate complex findings into actionable insights for diverse audiences Experience conducting literature reviews, research synthesis, public health analysis, or developing research reports and policy briefs Strong organizational and project management skills with the ability to manage multiple priorities independently Familiarity with health equity frameworks and working with diverse communities Interest in behavioral health, addiction, gambling-related harms, health equity, public health surveillance, or digital well-being Experience working in public health, research, healthcare, nonprofit, or academic settings Familiarity with data analysis, statistics, and data visualization tools such as Tableau, R, Python, or similar platforms a plus Work Culture & Values: Flexible Remote Work: This is a fully remote position, with a preference for candidates based in Massachusetts Autonomous & Impact-Driven: We believe in giving our team members the trust, tools, and support to own their work Collaborative & Innovative: You’ll be part of a dynamic, mission-driven team that values open communication, learning, and experimentation This is more than a project—it’s a platform to grow your career, explore new territory, and make a tangible impact. Come join us at KRI! Wage or salary to be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data. $62,000—$72,000 USD", "summaryDescription" : "Research Analyst at Kindbridge Research Institute. Skills: Research, Data analysis, Knowledge translation. Conduct literature reviews. Conduct evidence scans", "postedDate" : "2026-06-15T23:20:17.036", "createdAt" : "2026-06-15T23:20:17.036", "lastUpdated" : "2026-06-16T10:44:40.635", "ingestTimestamp" : "2026-06-15T23:20:17.036", "mongoId" : "6a3051ddf292fd229cf08208", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 62000, "salaryAnnualMax" : 72000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Literature reviews", "Evidence scans", "Environmental scans", "Background research", "Data synthesis", "Data interpretation", "Scholarly research", "Applied research", "Knowledge sharing", "Research", "Data analysis", "Knowledge translation", "Research synthesis", "Public health analysis", "Policy brief development", "Project management skills", "Manage multiple priorities independently", "Gambling", "Gaming", "Digital dependencies", "Public health", "Behavioral health", "Addiction", "Gambling-related harms", "Health equity", "Public health surveillance", "Digital well-being" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 556.0655, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ae85674d8ee00a072b198", "title" : "Manufacturing Associate, Breyanzi, Manufacturing Operations", "company" : "Bristol Myers Squibb", "industry" : "Pharmaceuticals", "salary" : { "min" : 27.83, "max" : 33.72, "currency" : "USD", "frequency" : "yearly" }, "location" : "United States of America", "locations" : [ "United States of America" ], "timestamp" : "2026-06-15T01:06:12.098", "fingerprint" : "612b54b8b119b31c84699719069df2603a2f5e8075e8b4a6a272637e3b4cdae5", "source" : "workday", "language" : "en", "applyUrl" : "https://bristolmyerssquibb.wd5.myworkdayjobs.com/BMS/job/Summit-West---NJ---US/Manufacturing-Associate--Breyanzi--Manufacturing-Operations_R1603275", "externalId" : "R1603275", "industryFunction" : { }, "locationPoint" : "51.43667,5.97917", "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Cell culture, Cryopreservation, Purification, Aseptic processing, MS Office", "professionalSkills" : [ "cGMP/FDA regulated industry", "cGMPs", "Technical writing", "Biology", "Chemistry", "Medical practices", "Clinical practices" ], "hardSkillsList" : [ "Mathematical skills", "Aseptic technique" ], "hardSkills" : [ { "name" : "Mathematical skills", "level" : "intermediate" }, { "name" : "Aseptic technique", "level" : "intermediate" } ], "majorSkills" : "Cell therapy manufacturing, cGMP, Aseptic processing", "majorSkillsList" : [ "Cell therapy manufacturing", "cGMP", "Aseptic processing" ], "coreResponsibilities" : "Perform equipment set-up, Operate equipment, Support deviation investigations, Write deviation reports, Support CAPA closure, Weigh materials, Measure materials, Adhere to production schedule, Record production data, Perform tasks safely, Work in team environment, Complete production tasks, Become SME, Become qualified trainer, Maintain training completion, Perform continuous improvement projects, Participate in inspection readiness, Participate in right first-time initiatives", "teamCollaboration" : "Team based environment; Cross-functional environment", "domainKnowledge" : "Cell culture; Cryopreservation; Purification; Aseptic processing; cGMP; FDA regulated industry; Biology; Chemistry; Medical practices; Clinical practices", "domainList" : [ "cell-culture", "cryopreservation", "purification", "aseptic-processing", "cgmp", "fda-regulated-industry", "biology", "chemistry", "medical-practices", "clinical-practices" ], "domainSpecificKnowledge" : [ "Cell culture", "Cryopreservation", "Purification", "Aseptic processing", "cGMP", "FDA regulated industry", "Biology", "Chemistry", "Medical practices", "Clinical practices" ], "toolProficiency" : [ "MS Office" ], "documentationSkills" : "Technical writing; Record production data", "continuousLearning" : "Maintain training completion", "innovationCreativity" : "Continuous improvement projects", "problemSolvingSkills" : "Support deviation investigations", "specialRequirements" : "Comfortable working with human blood components, Ability to stand for extended periods, Physical dexterity, Sufficient vision and hearing, Ability to lift 25 pounds, Work in laboratories, Work in controlled areas, Work in enclosed areas, Work in restricted areas, Wear cleanroom garments, Wear personal protective equipment, Flexibility to don PPE", "qualificationsBasic" : "High School Diploma required, 0-1 years cGMP cell therapy manufacturing experience, 0-1 years bioprocessing manufacturing experience, 0-1 years relevant experience, Aseptic qualification required", "qualificationsPreferred" : "Bachelor's degree preferred, Associate degree preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "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). At Bristol Myers Squibb we are reimagining the future of cell therapy. With our bold ambition, backed by a best-in-the-industry team and long-term commitment, we are leading the way to unlock the full promise of cell therapy as we strive to put more patients on the path to a cure. If you are ready to challenge yourself, accelerate your career, and give new hope to patients, there’s no better place than here at BMS with our Cell Therapy team. Our Manufacturing Associate, Cell Therapy team manufactures human blood derived components per Batch Record and Standard Operating Procedures in a controlled, cGMP cleanroom environment under the supervision of Manufacturing Management. Manufacturing Associates adhere to regulatory requirements while performing job functions. Job duties are performed within a team according to an assigned, production shift schedule. Communication of production deviations and assistance with quality investigations are required, as applicable. **Shift Available:** * Wednesday - Saturday, Onsite Day Shift, 5 a.m. - 5:30 p.m. * Start and end times are subject to change based on business demands. **Responsibilities:** * Perform set-up and operation of equipment to support production of blood component lots through cell culture, harvest, and cryopreservation. * Support deviation investigations and write ups as needed. Support on time closure of any assigned CAPAs within the designated shift. * Aseptic technique is required for tube most activities: welding, connections, and transfers, at minimum. Aseptic qualification is required. * Weighs and measures in-process materials to ensure proper quantities are added/removed. * Adheres to the production schedule ensuring on-time, internal production logistics. * Records production data and information in a clear, concise, format according to proper GDPs. * Perform all tasks in a manner consistent with site safety policies, quality systems, and GMP requirements. * Works in a team based, cross-functional environment to complete production tasks required by shift schedule. * Motivated, team consciousness individuals are needed to fulfill job requirements. * Become a SME and qualified trainer within a designated function of manufacturing. Supervision will be managed by the shift Supervisor or designated Team Lead. * Maintain on time completion of training assignments to maintain the necessary technical skills and process knowledge. * Performs other tasks as assigned: continuous improvement projects, inspection readiness, right first-time initiatives, etc **Knowledge & Skills:** * Basic understanding of cell culture, cryopreservation, purification, and aseptic processing or lab technique. * Knowledge of cGMP/FDA regulated industry. * Basic mathematical skills. * General understanding of cGMPs. * Technical writing capability. * Proficient in MS Office applications. * Background to include an understanding of biology, chemistry, medical or clinical practices **Minimum Requirements:** * High School Diploma required. Bachelor's or associate degree preferred. * 0-1 years of cGMP cell therapy manufacturing, bioprocessing manufacturing, or relevant experience. **Working Conditions:** * Intermittent walking, standing and sitting to perform job functions; however, ability to stand for extended periods of time may be necessary. * Must be comfortable working with contained human blood components. * Physical dexterity sufficient to use computers and documentation. * Sufficient vision and hearing capability to work in job environment. * Ability to lift 25 pounds. * Must have the ability to work in laboratories and controlled, enclosed, restricted areas. * Cleanroom garments and personal protective equipment will be required in designated areas which cover head, parts of the face, core body, and legs/feet. * Makeup, gum, nail polish, perfume/cologne and other potential microbial sources are prohibited in restricted areas. * Flexibility to don clean room garments and personal protective equipment (PPE). * Clean room environment is an enclosed, restricted space, with assigned pressure and temperature conditions. * Reagents, chemicals, and exposure to sanitization agents are expected. * Routine exposure to human blood components. * Restricted areas prohibit food, any outside materials such as cell phones, tablets, at a minimum. BMSCART, #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:****** Summit West - NJ - US: $27.83 - $33.72per hour 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. R1603275 : Manufacturing Associate, Breyanzi, Manufacturing Operations", "summaryDescription" : "Manufacturing Associate, Breyanzi, Manufacturing Operations at Bristol Myers Squibb. Skills: Cell therapy manufacturing, cGMP, Aseptic processing. Perform equipment set-up. 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We are looking for someone who combines skill in machine learning with an ability to connect with people and see the wider context for a range of business problems. You will be responsible for assessing state-of-the-art techniques, researching novel ideas to improve them and applying them to large scale problems, mainly in the domain of recommender systems and NLP (from semantic search to deep agentic deep research). To solve problems effectively, you will need to be able to build relationships and understand the business context in which we are operating. This position will suit someone who has a deep understanding of machine learning and is comfortable presenting clearly and winsomely to a non-technical audience. NielsenIQ helps companies to meet the needs of people all over the world for food, health, hygiene, tech and durable products. Since 1923, NIQ has moved measurement forward for industries and economies across the globe. This position opens the opportunity to research and apply state-of-the-art AI/ML techniques to strategic global projects. * Research, evaluate, and adapt state-of-the-art techniques to solve large-scale AI problems. * Lead the development and application of machine learning innovations to complex business challenges with minimal supervision. * Drive innovation in Information Retrieval, Product Matching, Recommendation Systems, NLP, and Generative AI. * Assess the applicability of emerging research and identify opportunities for adoption across multiple business initiatives. * Design and conduct advanced experiments and feasibility studies to guide technical strategy. * Develop scalable, reproducible, and maintainable machine learning solutions and research frameworks. * Collaborate with Applied AI and Engineering teams to enable adoption of research outcomes. * Mentor and support other scientists and contribute to the technical growth of the team. * Lead or contribute to scientific publications, patents, and conference submissions. * Communicate technical vision, research findings, and strategic recommendations to stakeholders across technical and business functions. * Promote engineering excellence, scientific rigor, and best practices across research initiatives. ## Qualifications * Master's, or PhD in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Physics, or a related quantitative discipline. * 7+ years of experience in Machine Learning, Deep Learning, or AI research. * Demonstrated expertise in training transformer-based models for Information Retrieval, Recommendation Systems, Product Matching, NLP, or related domains. * Experience training custom SLMs and /or small reasoning models. * Advanced experience with Python, PyTorch, Hugging Face, Pandas, Scikit-learn, and Git. * Strong experience with Transformer architectures, embeddings, and representation learning. * Experience with vector databases (e.g., FAISS, ChromaDB, Pinecone) and retrieval-based systems. * Ability to understand, evaluate, and extend ideas from scientific literature. * Strong analytical, problem-solving, stakeholder management, and communication skills. * Proven ability to independently drive research initiatives from concept through adoption. Good to Have * PhD in a relevant field. * Publications in leading conferences (e.g., ACL, EMNLP, SIGIR, KDD, NeurIPS, ICML, ICLR, RecSys). * Experience mentoring researchers or leading technical initiatives. * Experience with RAG architectures, LLMs, and agent-based frameworks. * Experience with Knowledge Graphs. * Experience in retail, consumer intelligence, ecommerce, or FMCG domains. * Experience with Databricks, SQL, Elasticsearch. ## Additional Information Salary: 55300– €65000 gross per year. This role might also be eligible for a performance-based bonus. Placement within the range will depend on objective criteria including experience, skills, and internal equity considerations. We are committed to equal pay and pay transparency. Remuneration decisions are made using gender-neutral and objective criteria. Employees enjoy a Home Office working model (Spain-based), with occasional team meetings at the Madrid office. Our Benefits * Flexible working environment * Volunteer time off * LinkedIn Learning * Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies. About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: [LinkedIn](https://www.linkedin.com/company/nielseniq/mycompany/) | [Instagram](https://www.instagram.com/nielseniq/) | [Twitter](https://twitter.com/nielseniq) | [Facebook](https://www.facebook.com/NielsenIQ.global/) Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. 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We are looking for someone who combines skill in machine learning with an ability to connect with people and see the wider context for a range of business problems. You will be responsible for assessing state-of-the-art techniques, researching novel ideas to improve them and applying them to large scale problems, mainly in the domain of recommender systems and NLP (from semantic search to deep agentic deep research). To solve problems effectively, you will need to be able to build relationships and understand the business context in which we are operating. This position will suit someone who has a deep understanding of machine learning and is comfortable presenting clearly and winsomely to a non-technical audience. NielsenIQ helps companies to meet the needs of people all over the world for food, health, hygiene, tech and durable products. Since 1923, NIQ has moved measurement forward for industries and economies across the globe. This position opens the opportunity to research and apply state-of-the-art AI/ML techniques to strategic global projects. * Research, evaluate, and adapt state-of-the-art techniques to solve large-scale AI problems. * Lead the development and application of machine learning innovations to complex business challenges with minimal supervision. * Drive innovation in Information Retrieval, Product Matching, Recommendation Systems, NLP, and Generative AI. * Assess the applicability of emerging research and identify opportunities for adoption across multiple business initiatives. * Design and conduct advanced experiments and feasibility studies to guide technical strategy. * Develop scalable, reproducible, and maintainable machine learning solutions and research frameworks. * Collaborate with Applied AI and Engineering teams to enable adoption of research outcomes. * Mentor and support other scientists and contribute to the technical growth of the team. * Lead or contribute to scientific publications, patents, and conference submissions. * Communicate technical vision, research findings, and strategic recommendations to stakeholders across technical and business functions. * Promote engineering excellence, scientific rigor, and best practices across research initiatives. ## Qualifications * Master's, or PhD in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Physics, or a related quantitative discipline. * 7+ years of experience in Machine Learning, Deep Learning, or AI research. * Demonstrated expertise in training transformer-based models for Information Retrieval, Recommendation Systems, Product Matching, NLP, or related domains. * Experience training custom SLMs and /or small reasoning models. * Advanced experience with Python, PyTorch, Hugging Face, Pandas, Scikit-learn, and Git. * Strong experience with Transformer architectures, embeddings, and representation learning. * Experience with vector databases (e.g., FAISS, ChromaDB, Pinecone) and retrieval-based systems. * Ability to understand, evaluate, and extend ideas from scientific literature. * Strong analytical, problem-solving, stakeholder management, and communication skills. * Proven ability to independently drive research initiatives from concept through adoption. Good to Have * PhD in a relevant field. * Publications in leading conferences (e.g., ACL, EMNLP, SIGIR, KDD, NeurIPS, ICML, ICLR, RecSys). * Experience mentoring researchers or leading technical initiatives. * Experience with RAG architectures, LLMs, and agent-based frameworks. * Experience with Knowledge Graphs. * Experience in retail, consumer intelligence, ecommerce, or FMCG domains. * Experience with Databricks, SQL, Elasticsearch. ## Additional Information Salary: 55300– €65000 gross per year. This role might also be eligible for a performance-based bonus. Placement within the range will depend on objective criteria including experience, skills, and internal equity considerations. We are committed to equal pay and pay transparency. Remuneration decisions are made using gender-neutral and objective criteria. Employees enjoy a Home Office working model (Spain-based), with occasional team meetings at the office. Our Benefits * Flexible working environment * Volunteer time off * LinkedIn Learning * Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies. About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: [LinkedIn](https://www.linkedin.com/company/nielseniq/mycompany/) | [Instagram](https://www.instagram.com/nielseniq/) | [Twitter](https://twitter.com/nielseniq) | [Facebook](https://www.facebook.com/NielsenIQ.global/) Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the [https://nielseniq.com/global/en/news-center/diversity-inclusion](https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnielseniq.com%2Fglobal%2Fen%2Fnews-center%2Fdiversity-inclusion&data=05%7C02%7CJenny.Rebecca%40nielseniq.com%7C6e534cbe3eb041842d5f08dc6dca121e%7C6ac7a1f45fb14153bb4f12d2020a1f7d%7C0%7C0%7C638505961881417602%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=B%2Fp40oNUpJOw1CNoc87EFXk%2BvxeO1jxYOSRCEKM%2Fz5Q%3D&reserved=0)", "summaryDescription" : "Senior Research Scientist (Machine Learning, NLP, Generative AI) at NielsenIQ. Skills: Machine Learning, NLP, Generative AI. Conduct research and development. 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Work collaboratively within the Brain Cancer Centre; Work across national and international consortia; Work collaboratively across research and clinical environments", "domainKnowledge" : "Cell therapy; Immunology; Biomedical science; Brain cancer; Immune-based strategies; Paediatric brain tumours; Adult brain tumours; Good Manufacturing Practice", "domainList" : [ "cell-therapy", "immunology", "biomedical-science", "brain-cancer", "immune-based-strategies", "paediatric-brain-tumours", "adult-brain-tumours", "good-manufacturing-practice" ], "domainSpecificKnowledge" : [ "Cell therapy", "Immunology", "Biomedical science", "Brain cancer", "Immune-based strategies", "Paediatric brain tumours", "Adult brain tumours", "Good Manufacturing Practice" ], "toolProficiency" : [ "Miltenyi Prodigy" ], "communicationSkills" : "Excellent communication skills", "documentationSkills" : "Excellent documentation skills", "innovationCreativity" : "Pioneering research; Innovative CAR T cell therapies; Cutting-edge preclinical models; Advanced single-cell and proteomic technologies; State-of-the-art cell manufacturing platforms", "specialRequirements" : "Occasional after-hours work", "outcomesObjectives" : "Validate clinical scale manufacture; Produce cells for preclinical testing; Support experimental outcomes", "qualificationsBasic" : "Demonstrated expertise in cell culture and advanced cell therapy workflows, Excellent organisational, documentation and communication skills, Excellent collaborative culture and be able to work effectively as a part of the dynamic research team, Knowledge of clean room operations including gowning, decontamination and environmental monitoring, Knowledge of regulations relevant to GMP cell manufacturing, PhD or equivalent research/industry experience in cell therapy, immunology, biomedical science or related discipline", "qualificationsPreferred" : "Experience generating, characterising and testing CAR T cells, Expertise in Flow cytometry and/or digital PCR, Graduate certificate, or equivalent, in Good Manufacturing Practice, Experience with closed-system manufacturing platforms (e. g. Miltenyi Prodigy), Knowledge of quality systems, QC assays and batch release criteria, Experience working in GMP-aligned clean room facilities, Ability to work collaboratively across research and clinical environments", "remoteFriendly" : true, "rawDescription" : "**Job Title** Translational Research Scientist (Cell Therapy Manufacturing) **Job Description** An exciting opportunity is available for a Translational Research Scientist (Cell Therapy Manufacturing) to join a dynamic research laboratory within the Personalised Oncology Division at Australia’s pre-eminent biomedical research institute. The Jenkins Laboratory is internationally recognised for pioneering research in immunotherapy for brain cancer. Led by Professor Misty Jenkins AO, the lab focuses on developing innovative CAR T cell therapies and other immune-based strategies for aggressive paediatric and adult brain tumours. We combine cutting-edge preclinical models, advanced single-cell and proteomic technologies, and state-of-the-art cell manufacturing platforms to translate discoveries from bench to bedside. Our team works collaboratively within the Brain Cancer Centre and across national and international consortia, driven by a strong consumer focus and commitment to bringing hope and new treatments to patients and families affected by brain cancer. **About the position** We have developed a number of assets that are now poised for clinical translation. This new role will establish and lead operations in WEHI’s ISO Class 9 clean room, forming a critical part of our translational pipeline for CAR T cell therapy in brain cancer. The cleanroom will be central to validating clinical scale manufacture and producing cells for preclinical testing. This is a unique opportunity to contribute to an agile CAR T manufacturing pipeline within a dynamic preclinical team in a world-leading research institute. The successful candidate will: * Demonstrate an ability to perform highly technical laboratory work with strong attention to detail, accuracy, and reproducibility. * Establish and lead CAR T cell manufacture using the Miltenyi Prodigy platform. * Perform magnetic enrichment, viral transduction, and cell culture using clinical scale processes. * Develop and implement GMP-‘aligned’ workflows and batch release testing. * Collaborate with process development teams. * Contribute to data packages for regulatory submissions (TGA, FDA and others) for clinical trial applications. * Lead technology transfer activities between WEHI and collaborator or clinical manufacturing sites. * Produce reports and presentations to support experimental outcomes. * This role offers flexible working hours, with occasional after-hours work to support key experiments and clean room activities. **Key Selection Criteria** Essential: * Demonstrated expertise in cell culture and advanced cell therapy workflows. * Excellent organisational, documentation and communication skills. * Excellent collaborative culture and be able to work effectively as a part of the dynamic research team – be reliable and approachable with excellent communication skills. * Knowledge of clean room operations including gowning, decontamination and environmental monitoring. * Knowledge of regulations relevant to GMP cell manufacturing. * PhD or equivalent research/industry experience in cell therapy, immunology, biomedical science or related discipline. Desirable: * Experience generating, characterising and testing CAR T cells. * Expertise in Flow cytometry and/or digital PCR. * Graduate certificate, or equivalent, in Good Manufacturing Practice. * Experience with closed-system manufacturing platforms (e.g. Miltenyi Prodigy). * Knowledge of quality systems, QC assays and batch release criteria. * Experience working in GMP-aligned clean room facilities. * Ability to work collaboratively across research and clinical environments. **Terms of appointment** This position is available for **2 years** in a **full time** capacity. Salary is **Research Employee Level A** **($104,071-$111,707)** or **Level B ($117,596 - $139,636)** . Very attractive salary packaging options are available for general living expenses, meal entertainment, novated leasing and more. 12% superannuation payable, plus up to a further 5% after the first 6 months of service via our matching superannuation scheme. General enquiries can be directed to Professor Misty Jenkins AO – [jenkins.m@wehi.edu.au](mailto:jenkins.m@wehi.edu.au) A position description for a Research Officer is available [here](https://wehieduau.sharepoint.com/:b:/s/Workday_PDs/IQBmi0IjzO7RRq9gKiSxxZSjAWWNhV2fL9ZZIH6WMoxJMWY?e=YdozEc). A position description for a Senior Research Officer is available [here](https://wehieduau.sharepoint.com/:b:/s/Workday_PDs/IQDSBnCziBsZRawnD5pA_lhaAbKwXQ3aLVQWNh2U51gkst4?e=vgVvV6). **How to apply** Please apply by uploading your CV, cover letter and a document addressing the key selection criteria in pdf format. **Application closing date:** 25 June 2026", "summaryDescription" : "Translational Research Scientist (Cell Therapy Manufacturing) at WEHI. Skills: Cell Therapy Manufacturing, CAR T cell therapy, GMP-aligned workflows, Clean room operations. Establish and lead CAR T cell manufacture. Perform magnetic enrichment, viral transduction, cell culture", "postedDate" : "2026-05-26T17:27:14.697", "createdAt" : "2026-05-27T17:27:14.684", "lastUpdated" : "2026-05-27T17:30:39.269", "ingestTimestamp" : "2026-05-27T17:27:14.684", "mongoId" : "6a16fee958b93c861ec82fff", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://wehi.wd3.myworkdayjobs.com/WEHI/job/Parkville-Victoria-Australia/Translational-Research-Scientist--Cell-Therapy-Manufacturing-_JR4458", "salaryAnnualMin" : 104071, "salaryAnnualMax" : 111707, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Cell culture", "Cell manufacturing", "Viral transduction", "Batch release testing", "Gowning", "Decontamination", "Environmental monitoring", "Attention to detail", "Accuracy", "Reproducibility", "Reliable", "Approachable", "Cell Therapy Manufacturing", "CAR T cell therapy", "GMP-aligned workflows", "Clean room operations", "Translational research", "Clinical translation", "Regulatory submissions", "Technology transfer", "Process development", "Cell therapy", "Immunology", "Biomedical science", "Brain cancer", "Immune-based strategies", "Paediatric brain tumours", "Adult brain tumours", "Good Manufacturing Practice", "Graduate certificate, or equivalent, in Good Manufacturing Practice", "Miltenyi Prodigy" ], "skillCount" : 31, "jobCategory" : "engineering", "seniorityLevel" : "mid", "dataQualityScore" : 1.0, "_score" : 553.6054, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Biomedical Research" }, { "id" : "6a210ea374d8ee00a0af89ef", "title" : "Senior Data Scientist, Research, App Ecosystem and Trust", "industry" : "Technology", "salary" : { "min" : 150000.0, "max" : 250000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Scientist in Singapore, adjusted for the technology industry and senior experience level." }, "location" : "[Singapore, [Singapore], null, null, null, SG]", "locations" : [ "[Singapore, [Singapore], null, null, null, SG]" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T11:47:21.812", "fingerprint" : "53dfbbac8f3131e89c2a37268b2cae872bb01c64af7180ba133f8ac0b75855ed", "source" : "google", "language" : "en", "externalId" : "85133544715625158", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, SQL, R, Spark, Scala, 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" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Statistical modeling", "Machine learning algorithms", "Data warehousing", "ETL processes", "Data visualization", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning algorithms", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, Data Science, Statistical Modeling, Data Engineering", "majorSkillsList" : [ "Machine Learning", "Data Science", "Statistical Modeling", "Data Engineering" ], "coreResponsibilities" : "Develop and deploy machine learning models, Design and implement data pipelines, Conduct advanced statistical analysis, Build and maintain BI dashboards, Collaborate with engineering teams, Research and apply new ML techniques, Ensure data quality and integrity, Communicate findings to stakeholders", "teamCollaboration" : "Cross-functional teams; 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