{ "count" : 14533, "data" : [ { "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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Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine through cutting-edge research. A Quality Assurance Associate III is available in the Beckman Research Institute of City of Hope. You will be responsible for assisting QA Management in achieving compliance with all Federal and State laws and regulations and other accrediting agency requirements in the collection, processing, preparation, and distribution of biopharmaceutical products manufactured in the GMP facilities at City of Hope (COH). As a successful candidate, you will: · Perform quality assurance activities in the QA Compliance function and ensure compliance with Good Manufacturing Practices (GMP). · Administer the Deviation, CAPA, and Change Control programs as Business Process Owner. · Author Deviations in collaboration with originating departments and SMEs. · Track, Trend, and monitor the progress of Deviation, CAPA, and Change Controls in alignment with SOP criteria, assigned due dates, and business timelines. · Provide and evaluate Quality System KPI data in support of Quality Management Review · Schedule and coordinate the Change Control Committee meetings · Conduct internal cGMP training. Maintain training records and the training program. · Coordinate and conduct Internal audits, follow up and write reports for submission to QA management. Track and follow up on audit commitments for timely completion and closure. · Coordinate and conduct Supplier Quality Assessments and maintain the Approved Supplier List. Perform Supplier requalification in alignment with SOP criteria. · Write reviews and process Standard Operating Procedures. Your qualifications should include: · Bachelor’s degree with 6-8 years of experience within Quality Assurance required. · Masters degree preferred with 6+ years of experience or PhD with 1+ years of experience or Bachelors degree with 10+ years of experience preferred. City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our Comprehensive Benefits, please CLICK HERE . United States-California-Duarte", "summaryDescription" : "QA Associate III - Cell Therapy Manufacturing at City of Hope. Assist QA Management. Achieve compliance", "createdAt" : "2026-06-14T07:29:59.135", "lastUpdated" : "2026-06-15T09:15:11.038", "ingestTimestamp" : "2026-06-14T07:29:59.135", "mongoId" : "69dde45c2beec4dd3d9a3f4b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Good Manufacturing Practices", "Biopharmaceutical products", "GMP facilities" ], "skillCount" : 3, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7aa474d8ee00a09462f0", "title" : "Senior Research Associate, Translational", "company" : "Mirai Bio, Inc.", "industry" : "Biotech", "salary" : { "min" : 81000.0, "max" : 107300.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Mirai Bio", "locations" : [ "Mirai Bio" ], "timestamp" : "2026-06-15T08:45:33.641", "fingerprint" : "787bfcd589a8d1d78b6cd1efa1c35905a8a7a7d2ed9c8bfcb58b8a6e9228c567", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/miraibio/jobs/8587002002", "externalId" : "8587002002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cambridge", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3656347,-71.1040018" } ], "locationText" : "Cambridge, Massachusetts, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Flow cytometry, Mammalian cell culture, ELISAs, Plate-based reporter assays, Cell killing assays, Transfection, Protein binding assays", "professionalSkills" : [ "Assay development", "Method optimization", "Literature searches" ], "hardSkillsList" : [ "Sample processing", "Cell isolation" ], "softSkillsList" : [ "Problem solving", "Presentation" ], "hardSkills" : [ { "name" : "Sample processing", "level" : "intermediate" }, { "name" : "Cell isolation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem solving" }, { "name" : "Presentation" } ], "majorSkills" : "Translational research, Genetic medicines, In vitro bio-assays", "majorSkillsList" : [ "Translational research", "Genetic medicines", "In vitro bio-assays" ], "coreResponsibilities" : "Perform experiments, Process mouse and NHP samples, Develop new in vitro bio-assays, Optimize existing bio-assays, Analyze assay results, Document assay results", "teamCollaboration" : "Collaborative team; Cross-functionally with teams; Highly skilled teams", "domainKnowledge" : "Genetic medicines; Nucleic acid payloads; Lipid nanoparticle optimization; Targeted particle design; In vivo biodistribution", "domainList" : [ "genetic-medicines", "nucleic-acid-payloads", "lipid-nanoparticle-optimization", "targeted-particle-design", "in-vivo-biodistribution" ], "domainSpecificKnowledge" : [ "Genetic medicines", "Nucleic acid payloads", "Lipid nanoparticle optimization", "Targeted particle design", "In vivo biodistribution" ], "toolProficiency" : [ "Octet instruments" ], "communicationSkills" : "Conveying technical information", "documentationSkills" : "Technical reporting", "problemSolvingSkills" : "Problem-solving skills; Troubleshooting assays", "specialRequirements" : "Handling NHP tissue samples, Handling mouse tissue samples", "qualificationsBasic" : "3+ years relevant experience, 5+ years relevant experience, M.S. or B.S. degree, Hands-on experience with cell culturing, In vitro cell biology techniques", "qualificationsPreferred" : "Knowledge of immunology, Experience working with LNPs, Performing BLI on octet instruments", "workSiteFlexibility" : "Onsite", "rawDescription" : "COMPANY DESCRIPTION Mirai Bio is a privately-held, Flagship-founded biotechnology company that is delivering genetic medicines from promise to performance. 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. Process mouse and NHP samples", "postedDate" : "2026-06-14T08:33:32.537", "createdAt" : "2026-06-14T08:33:32.537", "lastUpdated" : "2026-06-15T08:45:33.641", "ingestTimestamp" : "2026-06-14T08:33:32.537", "mongoId" : "6a2c7aa474d8ee00a09462f0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 81000, "salaryAnnualMax" : 107300, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Sample processing", "Cell isolation", "Problem solving", "Presentation", "Translational research", "Genetic medicines", "In vitro bio-assays", "Assay development", "Method optimization", "Literature searches", "Nucleic acid payloads", "Lipid nanoparticle optimization", "Targeted particle design", "In vivo biodistribution", "Octet instruments" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "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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{ "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 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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, "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. 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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, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "68b706997fc9a711f0f6fe91", "title" : "Research Scientist, Outbound", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Research Science, north america stores", "salary" : { "min" : 136000.0, "max" : 212800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-16T05:54:51.075", "fingerprint" : "e57cf3b55fd0ba6c24dc132b2d87ea315216b233959816323a982ca55d77a7d2", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3051181/apply", "externalId" : "ee2c0076-48e5-414c-8f6c-22e3a3384678", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, R, SQL, AWS, SageMaker, Spark, Hugging Face, TensorFlow, PyTorch, Scikit-learn, XGBoost, LightGBM, MLflow, Tableau, Power BI, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, Delta Lake", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Statistical modeling", "Machine learning algorithms", "Data pipeline development", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning algorithms", "level" : "intermediate" }, { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data Science, Machine Learning, Data Engineering", "majorSkillsList" : [ "Data Science", "Machine Learning", "Data Engineering" ], "coreResponsibilities" : "Design and implement data science solutions, Develop and maintain machine learning models, Build and optimize data pipelines, Perform statistical analysis and A/B testing, Create and maintain business intelligence dashboards, Collaborate with engineering teams, Communicate findings to stakeholders, Stay current with industry trends", "teamCollaboration" : "Cross-functional teams; Engineering teams; Stakeholders", "domainKnowledge" : "Cloud data stacks; ML frameworks; BI platforms; Data engineering; Data science; Machine learning; AI", "domainList" : [ "cloud-data-stacks", "ml-frameworks", "bi-platforms", "data-engineering", "data-science", "machine-learning", "ai" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "ML frameworks", "BI platforms", "Data engineering", "Data science", "Machine learning", "AI" ], "toolProficiency" : [ "SageMaker", "MLflow", "Tableau", "Power BI", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "Delta Lake" ], "qualificationsBasic" : "5+ years of experience in data science or related field, Proficiency in SQL, Experience with Python or R", "qualificationsPreferred" : "PhD in a quantitative field, Experience with AWS, Experience with machine learning frameworks, Experience with large-scale data processing", "remoteFriendly" : false, "workSiteFlexibility" : "Remote", "rawDescription" : "Outbound Communications organization is seeking a highly motivated Senior Research Scientist. 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. Develop and maintain machine learning models", "postedDate" : "2026-06-14T19:47:07.634", "createdAt" : "2026-06-14T19:47:07.634", "lastUpdated" : "2026-06-16T05:54:51.075", "ingestTimestamp" : "2026-06-14T19:47:07.634", "mongoId" : "68b706997fc9a711f0f6fe91", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3051181/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 212800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Statistical modeling", "Machine learning algorithms", "Data pipeline development", "A/B testing", "Causal inference", "Data Science", "Machine Learning", "Data Engineering", "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis", "Cloud data stacks", "ML frameworks", "BI platforms", "Data science", "AI", "SageMaker", "MLflow", "Tableau", "Power BI", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "Delta Lake" ], "skillCount" : 31, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6d1374d8ee00a091d0ac", "title" : "Research Scientist", "company" : "Edgestream", "industry" : "FinTech", "salary" : { "min" : 175000.0, "max" : 215000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Princeton, New Jersey, United States", "locations" : [ "Princeton", "New Jersey", "United States" ], "timestamp" : "2026-06-15T06:19:38.313", "fingerprint" : "d5c2681b85fa9aa6b6c19f5d5bf2367c9422dac51d60e689e3dd4b6a930b9af2", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.edgestreamlp.com/career?gh_jid=4163324003", "externalId" : "4163324003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Princeton", "state" : "New Jersey", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.3496953,-74.6597376" } ], "locationText" : "Princeton, New Jersey, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "technicalSkills" : "Probability, Statistics, Machine learning, Information theory, Optimization, Algorithms, Numerical computation, Data analysis", "professionalSkills" : [ "Quantitative modeling", "Market modeling" ], "hardSkillsList" : [ "Statistical analysis", "Machine learning application", "Quantitative analysis" ], "softSkillsList" : [ "Diligence", "Tenacity", "Intellectual honesty", "Clear thought", "Clear communication" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning application", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Diligence" }, { "name" : "Tenacity" }, { "name" : "Intellectual honesty" }, { "name" : "Clear thought" }, { "name" : "Clear communication" } ], "majorSkills" : "Quantitative modeling, Machine learning, Market behavior", "majorSkillsList" : [ "Quantitative modeling", "Machine learning", "Market behavior" ], "coreResponsibilities" : "Develop quantitative models, Create models of market behavior, Apply probability techniques, Apply statistics techniques, Apply machine learning techniques, Apply information theory techniques, Apply optimization techniques, Apply algorithms techniques, Understand market behavior, Direct trading, Enhance research platform, Evaluate research platform, Implement research platform", "teamCollaboration" : "Work together; Collaborate with colleagues", "domainKnowledge" : "Financial markets", "domainList" : [ "financial-markets" ], "domainSpecificKnowledge" : [ "Financial markets" ], "communicationSkills" : "Clear communication", "innovationCreativity" : "Creativity", "problemSolvingSkills" : "Analytical skills", "outcomesObjectives" : "Tangible impact", "qualificationsBasic" : "PhD in mathematical discipline, PhD in scientific discipline, PhD in engineering discipline, Subsequent academic research appointment, Industrial research appointment, Government research appointment, Evidence of distinction, Evidence of impact", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "workSiteFlexibility" : "Flexible", "rawDescription" : "Job Title: Research Scientist Edgestream Partners is a tight-knit team of mathematicians, scientists, engineers, and business professionals who devote our talents to developing quantitative models of financial markets and using them to trade our systematic hedge funds around the world and around the clock — and have done this continuously since 2003. 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. Create models of market behavior", "postedDate" : "2026-06-13T21:06:06.829", "createdAt" : "2026-06-13T21:06:06.829", "lastUpdated" : "2026-06-15T06:19:38.313", "ingestTimestamp" : "2026-06-13T21:06:06.829", "mongoId" : "6a2c6d1374d8ee00a091d0ac", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 215000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Statistical analysis", "Machine learning application", "Quantitative analysis", "Diligence", "Tenacity", "Intellectual honesty", "Clear thought", "Clear communication", "Quantitative modeling", "Machine learning", "Market behavior", "Market modeling", "Financial markets" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "68c2e412f8b1b0376634c1ed", "title" : "Research Scientist", "company" : "ADCI", "industry" : "Machine Learning Science, Research Science, transportation and logistics", "salary" : { "min" : 2250000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Research Scientist in Logistics in Bengaluru, India, adjusted for mid-level experience and full-time employment." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T02:07:25.753", "fingerprint" : "bb4ba8c3844fc51bd6c8e3a289e169d95715875ebe71f434e3af353da798e7ae", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3075733/apply", "externalId" : "9e8bf8b7-5b40-46e0-b9a1-db24ef4f2c72", "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" : "PhD", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "C/C++, Python, Java, Perl, Machine Learning, Neural deep learning, R, scikit-learn, Spark MLLib, MxNet, Tensorflow", "professionalSkills" : [ "Algorithm design", "Product development" ], "hardSkillsList" : [ "Mathematics", "Statistics" ], "softSkillsList" : [ "Strategic thinker", "Business judgment", "Execution skills" ], "hardSkills" : [ { "name" : "Mathematics", "level" : "intermediate" }, { "name" : "Statistics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Strategic thinker" }, { "name" : "Business judgment" }, { "name" : "Execution skills" } ], "majorSkills" : "Machine Learning, Data science, Logistics optimization", "majorSkillsList" : [ "Machine Learning", "Data science", "Logistics optimization" ], "coreResponsibilities" : "Optimize delivery network, Ensure reliable service, Ensure efficient service, Drive impactful projects, Implement advanced solutions, Develop scalable processes", "projectManagementSkills" : [ "Program management" ], "domainKnowledge" : "Logistics challenges; Delivery operations", "domainList" : [ "logistics-challenges", "delivery-operations" ], "domainSpecificKnowledge" : [ "Logistics challenges", "Delivery operations" ], "toolProficiency" : [ "scikit-learn", "Spark MLLib", "MxNet", "Tensorflow" ], "communicationSkills" : "Verbal communication; Written communication", "problemSolvingSkills" : "Analytical capabilities", "qualificationsBasic" : "3+ years building ML models, Knowledge of C/C++, Python, Java or Perl, Experience programming in Java, C++, Python, Experience with neural deep learning methods, Experience with machine learning", "qualificationsPreferred" : "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, Experience with modern modeling tools and frameworks, Experience with large scale distributed systems, 3+ years of relevant, broad research experience, Publications at top-tier peer-reviewed conferences or journals, Prior experience with mentorship and/or management of scientists, Experience working with real-world data sets, Experience building scalable models from big data", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about solving complex logistics challenges? 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. Ensure reliable service", "postedDate" : "2026-06-13T15:31:44.658", "createdAt" : "2026-06-13T15:31:44.658", "lastUpdated" : "2026-06-15T02:07:25.753", "ingestTimestamp" : "2026-06-13T15:31:44.658", "mongoId" : "68c2e412f8b1b0376634c1ed", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3075733/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Mathematics", "Statistics", "Strategic thinker", "Business judgment", "Execution skills", "Machine Learning", "Data science", "Logistics optimization", "Algorithm design", "Product development", "Program management", "Logistics challenges", "Delivery operations", "scikit-learn", "Spark MLLib", "MxNet", "Tensorflow" ], "skillCount" : 17, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69dde45b2beec4dd3d9a3f21", "title" : "Research Associate - T Cell Therapeutics", "company" : "City of Hope", "industry" : "Biotech", "salary" : { "min" : 65000.0, "max" : 85000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Research Associate in Biotech in Duarte, California, adjusted for company size and industry." }, "location" : "United States-California-Duarte", "locations" : [ "United States-California-Duarte", "Laboratory Research", "Onsite, Days, Days" ], "timestamp" : "2026-06-15T23:46:18.689", "fingerprint" : "f4091f5eae8daa03351758c4ba8191321d4f93b7085cafaf6ef6dcfbd5f019f7", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa067.taleo.net/careersection/ex/jobdetail.ftl?job=221784", "externalId" : "221784", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Duarte", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.1394513,-117.9772873" } ], "locationText" : "Duarte, California, United States", "minimumEducation" : "Bachelor's Degree", "remoteFriendly" : false, "rawDescription" : "Join the forefront of groundbreaking research at the Beckman Research Institute of City of Hope , where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine through cutting-edge research. City of Hope is seeking a Research Associate I to join Dr. Elizabeth Budde's T Cell Therapeutics Research Laboratories. This role involves fast-paced research in cutting-edge technology, immunotherapeutic programs, and a commitment to delivering innovative solutions to critical illnesses. For more information on T Cell Therapeutics research, please visit here . As a successful candidate, you will be: Conduct tissue culture, maintaining cell cultures and applying aseptic techniques for various cell lines, especially T cell lines. Perform T cell functional assays, including cytotoxicity, cytokine production assays, and ELISAs. Conduct cell staining for Multicolor Flow Cytometry and analyze flow cytometry data. Assist in murine surgical procedures, tissue harvesting/preparation, and contribute to revising/maintaining lab protocols. Provide routine lab support and maintain activities in accordance with Good Laboratory Practices (GLP). Your qualifications should include: · Bachelor’s Degree Exceptional attention to detail, accuracy in lab work, and robust record-keeping skills City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our Comprehensive Benefits, please CLICK HERE . 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"Market data for Senior Director, Translational Medicine in Cambridge, US, within the Biotech industry, adjusted for seniority and company size." }, "location" : "Cambridge, MA - Hampshire Street", "locations" : [ "Cambridge", "MA - Hampshire Street" ], "timestamp" : "2026-06-16T08:14:49.396", "fingerprint" : "1d085d04c087fbc36e772e969a4dfdc690d2c24e8a1db3b94dec16cfe7e3acfa", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/relaytherapeutics/jobs/6025070004", "externalId" : "6025070004", "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", "experienceLevel" : "Director", "professionalSkills" : [ "Drug development", "Precision medicine", "Companion diagnostics", "Biomarker assays", "Data mining", "Development 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"majorSkillsList" : [ "Translational Medicine", "Precision Oncology", "Rare Diseases", "Drug Development" ], "coreResponsibilities" : "Generate translational medicine strategy, Refine translational medicine strategy, Devise scientific strategies, Advance scientific strategies, Devise medical strategies, Advance medical strategies, Define patient selection criteria, Demonstrate target engagement, Define dose optimization principles, Define proof of mechanism principles, Lead translational medicine scientists, Manage translational medicine scientists, Oversee translational medicine scientists, Oversee day to day operations, Define translational objectives, Implement translational objectives, Define translational endpoints, Implement translational endpoints, Achieve rapid proof of concept, Achieve clear path to registration, Direct outsourcing biomarker assays, Oversee outsourcing biomarker assays, Validate clinical biomarker assays, Oversee assay validation, Design 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 therapeutic discovery", "domainList" : [ "precision-oncology", "rare-diseases", "oncology", "genetic-diseases", "protein-motion", "small-molecule-therapeutic-discovery" ], "domainSpecificKnowledge" : [ "Precision oncology", "Rare diseases", "Oncology", "Genetic diseases", "Protein motion", "Small molecule therapeutic discovery" ], "communicationSkills" : "Verbal communication; Written communication", "documentationSkills" : "Technical documentation; Regulatory filing", "innovationCreativity" : "Novel molecular approaches; Dynamo platform", "problemSolvingSkills" : "Problem-solving; Issue resolution", "outcomesObjectives" : "Deliver key translational milestones; Achieve rapid proof of concept; Achieve clear path to registration; Bring medicines to patients", "qualificationsBasic" : "PhD or MD, 12+ years bio/pharmaceutical industry experience, 8+ years translational medicine experience, PMA submissions, CDx approvals", "qualificationsPreferred" : "Scaling and building translational 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. Refine translational medicine strategy", "postedDate" : "2026-06-15T23:25:20.651", "createdAt" : "2026-06-15T23:25:20.651", "lastUpdated" : "2026-06-16T08:14:49.396", "ingestTimestamp" : "2026-06-15T23:25:20.651", "mongoId" : "6a305b7bf292fd229cf5e53e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 275000, "salaryAnnualMax" : 425000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Translational strategy", "Molecular approaches", "Small molecule therapeutics", "Patient selection criteria", "Target engagement", "Dose optimization", "Proof of mechanism", "Clinical study protocols", "Proof of concept", "Registration", "Clinical biomarker assays", "Data collection systems", "Core team representation", "Development planning", "Data interpretation", "Clinical study reports", "Exploratory studies", "Publication", "Presentation", "IND submissions", "NDA submissions", "PMA submissions", "External links", "External collaborations", "Contract research organizations", "Academia", "Nonprofit organizations", "Complex issues analysis", "Relevant plans", "Realistic plans", "Recommendations", "Leadership", "Translational Medicine", "Precision Oncology", "Rare Diseases", "Drug Development", "Drug development", "Precision medicine", "Companion diagnostics", "Biomarker assays", "Data mining", "Contract research", "Scientific community", "Precision oncology", "Rare diseases", "Oncology", "Genetic diseases", "Protein motion", "Small molecule therapeutic discovery" ], "skillCount" : 49, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a16fee958b93c861ec82fff", "title" : "Translational Research Scientist (Cell Therapy Manufacturing)", "company" : "WEHI", "industry" : "Biomedical Research", "salary" : { "min" : 104071.0, "max" : 111707.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Australia", "locations" : [ "Australia" ], "certifications" : [ "Graduate certificate, or equivalent, in Good Manufacturing Practice" ], "timestamp" : "2026-05-27T17:30:39.269", "fingerprint" : "93735d4de2f56b46410d74e953ac9bfc50cbc7b8e339539d8a29b08f2a3a857d", "source" : "workday", "language" : "en", "applyUrl" : "https://wehi.wd3.myworkdayjobs.com/WEHI/job/Parkville-Victoria-Australia/Translational-Research-Scientist--Cell-Therapy-Manufacturing-_JR4458", "externalId" : "JR4458", "industryFunction" : { }, "locationPoint" : "-25.2744,133.7751", "structuredLocations" : [ { "country" : "Australia", "continent" : "oc", "workMode" : "onsite" } ], "locationText" : "Australia", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD or equivalent research/industry experience", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "CAR T cell therapy, Miltenyi Prodigy, Flow cytometry, Digital PCR, GMP", "professionalSkills" : [ "Translational research", "Clinical translation", "Regulatory submissions", "Technology transfer", "Process development" ], "hardSkillsList" : [ "Cell culture", "Cell manufacturing", "Viral transduction", "Batch release testing", "Gowning", "Decontamination", "Environmental monitoring" ], "softSkillsList" : [ "Attention to detail", "Accuracy", "Reproducibility", "Reliable", "Approachable" ], "hardSkills" : [ { "name" : "Cell culture", "level" : "intermediate" }, { "name" : "Cell manufacturing", "level" : "intermediate" }, { "name" : "Viral transduction", "level" : "intermediate" }, { "name" : "Batch release testing", "level" : "intermediate" }, { "name" : "Gowning", "level" : "intermediate" }, { "name" : "Decontamination", "level" : "intermediate" }, { "name" : "Environmental monitoring", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Attention to detail" }, { "name" : "Accuracy" }, { "name" : "Reproducibility" }, { "name" : "Reliable" }, { "name" : "Approachable" } ], "majorSkills" : "Cell Therapy Manufacturing, CAR T cell therapy, GMP-aligned workflows, Clean room operations", "majorSkillsList" : [ "Cell Therapy Manufacturing", "CAR T cell therapy", "GMP-aligned workflows", "Clean room operations" ], "coreResponsibilities" : "Establish and lead CAR T cell manufacture, Perform magnetic enrichment, viral transduction, cell culture, Develop and implement GMP-aligned workflows, Contribute to data packages for regulatory submissions, Lead technology transfer activities, Produce reports and presentations", "teamCollaboration" : "Collaborate with process development teams; 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. 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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. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $213,000—$263,000 USD", "summaryDescription" : "Senior Research Scientist, Perception at Waymo. Skills: Machine Learning, AI, Autonomous Driving. Develop machine learning solutions. 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Perception, prediction, control teams", "domainKnowledge" : "Autonomous vehicles; Robotics; Logistics systems; Deep learning; Real-time systems", "domainList" : [ "autonomous-vehicles", "robotics", "logistics-systems", "deep-learning", "real-time-systems" ], "domainSpecificKnowledge" : [ "Autonomous vehicles", "Robotics", "Logistics systems", "Deep learning", "Real-time systems" ], "toolProficiency" : [ "Linux", "ROS/ROS2", "Git", "CMake", "CI/CD pipelines" ], "communicationSkills" : "Translate algorithmic concepts", "innovationCreativity" : "Develop novel algorithms", "problemSolvingSkills" : "Debug complex systems; Analyze logs and telemetry", "qualificationsBasic" : "PhD or Master’s degree, Proficiency in C++, Solid understanding of OOP, Solid understanding of data structures, Solid understanding of algorithms, Solid understanding of real-time software design, Foundation in graph search, Foundation in sampling-based methods, Foundation in optimization-based methods, Experience with optimization, Hands-on experience developing robotic systems, Hands-on experience developing autonomous systems, Proficiency with Linux, Proficiency with ROS/ROS2, Proficiency with Git, Proficiency with CMake, Proficiency with CI/CD pipelines, Experience leading technical projects, Experience mentoring engineers, Understanding of planning interactions, Ability to reason about system-level trade-offs, Effective communicator", "qualificationsPreferred" : "Familiarity with decision-making frameworks", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "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. 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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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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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. 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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. 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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. 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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; Immuno-oncology; CAR T cell therapy; Paediatric brain tumours; Adult brain tumours; Good Manufacturing Practice", "domainList" : [ "cell-therapy", "immunology", "biomedical-science", "brain-cancer", "immuno-oncology", "car-t-cell-therapy", "paediatric-brain-tumours", "adult-brain-tumours", "good-manufacturing-practice" ], "domainSpecificKnowledge" : [ "Cell therapy", "Immunology", "Biomedical science", "Brain cancer", "Immuno-oncology", "CAR T cell therapy", "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; Immune-based strategies; 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" : false, "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). Skills: Cell Therapy Manufacturing, CAR T cell therapy, GMP, Clean room operations. Establish and lead CAR T cell manufacture. Perform magnetic enrichment, viral transduction, and cell culture", "postedDate" : "2026-05-27T03:40:01.102", "createdAt" : "2026-05-28T03:40:01.089", "lastUpdated" : "2026-05-28T03:45:09.198", "ingestTimestamp" : "2026-05-28T03:40:01.089", "mongoId" : "6a17844658b93c861eecb3ed", "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", "GMP-aligned workflows", "Batch release testing", "Gowning", "Decontamination", "Environmental monitoring", "Cell Therapy Manufacturing", "CAR T cell therapy", "GMP", "Clean room operations", "Translational research", "Clinical translation", "Regulatory submissions", "Technology transfer", "Process development", "Cell therapy", "Immunology", "Biomedical science", "Brain cancer", "Immuno-oncology", "Paediatric brain tumours", "Adult brain tumours", "Good Manufacturing Practice", "Graduate certificate, or equivalent, in Good Manufacturing Practice", "Miltenyi Prodigy" ], "skillCount" : 26, "jobCategory" : "engineering", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Biomedical Research" }, { "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, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "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, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "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. 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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, "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, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2af78474d8ee00a073d680", "title" : "Technology Lead -Cell Therapy Manufacturing", "company" : "Mission", "salary" : { "min" : 161000.0, "max" : 161000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "United States of America", "locations" : [ "United States of America" ], "timestamp" : "2026-06-14T03:02:42.384", "fingerprint" : "9d9441b89ac177e1f0e1a3d0f74d42b56e2167478a21e5eb40fcdca3241253fa", "source" : "workday", "language" : "en", "applyUrl" : "https://astrazeneca.wd3.myworkdayjobs.com/Careers/job/US---Gaithersburg---MD/Technology-Lead--Cell-Therapy-Manufacturing_R-253830-1", "externalId" : "R-253830", "locationPoint" : "51.43667,5.97917", "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "hybrid" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Automation, Robotics, AI applications, Advanced analytical", "professionalSkills" : [ "Manufacturing operations", "Technology evaluation", "Technology implementation", "GMP compliance", "Supply chain", "Digital transformation", "AI transformation", "Technical operations" ], "hardSkillsList" : [ "Technology transfer", "Process Sciences", "Analytical development", "Validation strategies", "Training plans", "Competency building" ], "softSkillsList" : [ "Leadership", "Structured planning" ], "hardSkills" : [ { "name" : "Technology transfer", "level" : "intermediate" }, { "name" : "Process Sciences", "level" : "intermediate" }, { "name" : "Analytical development", "level" : "intermediate" }, { "name" : "Validation strategies", "level" : "intermediate" }, { "name" : "Training plans", "level" : "intermediate" }, { "name" : "Competency building", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Structured planning" } ], "majorSkills" : "Cell Therapy Manufacturing, Technology implementation, Automation solutions", "majorSkillsList" : [ "Cell Therapy Manufacturing", "Technology implementation", "Automation solutions" ], "coreResponsibilities" : "Serve as manufacturing representative in technology evaluation, Provide input on operational constraints, Evaluate proposed new technologies, Support proof-of-concept evaluations, Provide manufacturing perspective on scalability, Develop detailed implementation plans, Coordinate technology deployments, Define standard implementation playbooks, Support development of digital and AI transformation roadmap, Support development of training and competency-building plans", "teamCollaboration" : "Cross-functional collaboration; 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. Provide input on operational constraints", "postedDate" : "2026-06-10T01:13:39.936", "createdAt" : "2026-06-12T01:13:39.833", "lastUpdated" : "2026-06-14T03:02:42.384", "ingestTimestamp" : "2026-06-12T01:13:39.833", "mongoId" : "6a2af78474d8ee00a073d680", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://astrazeneca.wd3.myworkdayjobs.com/Careers/job/US---Gaithersburg---MD/Technology-Lead--Cell-Therapy-Manufacturing_R-253830-1", "salaryAnnualMin" : 161000, "salaryAnnualMax" : 161000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Technology transfer", "Process Sciences", "Analytical development", "Validation strategies", "Training plans", "Competency building", "Leadership", "Structured planning", "Cell Therapy Manufacturing", "Technology implementation", "Automation solutions", "Manufacturing operations", "Technology evaluation", "GMP compliance", "Supply chain", "Digital transformation", "AI transformation", "Technical operations", "Execution-oriented leadership", "Regulated environments", "GMP-compliant deployment", "Cleanroom classifications", "Material flows", "Batch scheduling", "Regulatory filing" ], "skillCount" : 25, "jobCategory" : "engineering", "seniorityLevel" : "mid", "dataQualityScore" : 1.0, "daysOld" : 4, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2cb11874d8ee00a09dc1f3", "title" : "Senior Research Scientist, Mathematical Foundations", "company" : "Basecamp Research", "industry" : "Data", "salary" : { "min" : 95000.0, "max" : 140000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Senior Research Scientist in Biotech in London, UK, adjusted for seniority and company size." }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-15T11:24:10.006", "fingerprint" : "482d3837c7c32d565e06f26092636def9948552941458a967714b25c74992226", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/basecamp-research/6f4c5c1f-b146-4aea-b37c-5f67d8bfe294/application", "externalId" : "6f4c5c1f-b146-4aea-b37c-5f67d8bfe294", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, Machine Learning, Deep Learning, Generative models, Geometric deep learning, Probabilistic modeling, Dynamical systems, Information geometry, Optimization theory", "professionalSkills" : [ "Quantitative thinking", "Frontier research", "Large-scale experimentation", "Independent thinking" ], "hardSkillsList" : [ "Mathematical thinking", "First principles thinking", "Metagenomic datasets" ], "softSkillsList" : [ "Low ego", "Collaborative instincts", "Startup mentality", "Comfortable with ambiguity" ], "hardSkills" : [ { "name" : "Mathematical thinking", "level" : "intermediate" }, { "name" : "First principles thinking", "level" : "intermediate" }, { "name" : "Metagenomic datasets", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Low ego" }, { "name" : "Collaborative instincts" }, { "name" : "Startup mentality" }, { "name" : "Comfortable with ambiguity" } ], "majorSkills" : "Mathematical Foundations, Biological AI, Foundation models", "majorSkillsList" : [ "Mathematical Foundations", "Biological AI", "Foundation models" ], "coreResponsibilities" : "Develop new methods, Develop new theories, Shape research direction, Publish at top venues, Translate work into models, Generate novel biology", "teamCollaboration" : "Small collaborative group; 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. We are committed to equal opportunity employment regardless of ethnic or national origin, race, religion, sex, age, citizenship, sexual orientation, marital status, disability, gender identity or any other basis. If you have a disability or additional need that needs accommodating do let us know.", "summaryDescription" : "Senior Research Scientist, Mathematical Foundations at Basecamp Research. Skills: Mathematical Foundations, Biological AI, Foundation models. Develop new methods. 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Physical Therapy Technicians are expected to execute a high standard of clinical excellence while maintaining 5-star customer service. Spear strives to foster a true community environment for both patients and team members; therefore, a collaborative spirit is valued to ensure everyone receives the care and support they need. Other duties as assigned ## Qualifications Previous customer service experience.Strong communication skills and ability to multi-task.A strong attention to detail and willingness to grow.Athletic experience a plus! ## What we offer Mentorship Programs and Spear's award-winning Future Leaders Program (SFLP). One Medical paid membership.Learn more at onemedical.com/business Medical, Dental, Vision Benefits, Commuter FSA Plan. 401(K) Safe Harbor Match: SPEAR will make a matching contribution equal to 100% of the first 3% of annual compensation, plus 50% of the next 2% of annual compensation. The total SPEAR matching contribution will not exceed 4% of your annual compensation Generous paid time including PTO, Floating Holidays, Company Holidays, Mental Health Employee Perks: discounted rates for entertainment, travel, fitness, insurance plans, etc.Commuter benefit - travel costs from paycheck before taxes.Gym membership discounts with Blink & Crunch Fitness.Company Events - Annual Summer Picnic and Holiday Awards Celebration ## Who we are looking for We value empathy in our team members and a dedication to clinical excellence -- whatever your workstyle -- above all else. While we are looking for both entrepreneurial big-thinkers and those dedicated simply to the day-to-day of treatment, successful candidates will understand that being clear is kind and that actions express priorities. No matter where you are in your career, we are positive you will find your niche with us and grow.Further success factors may include:  A passion for the field of physical and occupational therapy.  A proactive, collaborative, team-oriented attitude because we don’t work in silos.  A dedication to not only rehabilitating patients’ injuries but their confidence and vitality as well.  A sense of accomplishment from pairing your clinical excellence with emotional intelligence.  You celebrate wins and learn from losses with your patients, colleagues, and surrounding communities. A resonance with our SPEAR-IT values:  Service  Passion  Empathy  Accountability  Respect  Impact  Teamwork  ## Physical Requirements Requires the manual dexterity and general strength and endurance Lifting—routinely loads of 5-35 pounds fromFloor to waistWaist to shoulderShoulder to overheadCarrying—routinely loads of 5-10# for 40-50’Pushing---routinely loads of 5-150# on casters, runners or pulleys Sustaining a grip---routinely for 1-2 minutes of 40-50# ## Additional Information ABOUT US: Spear Physical and Occupational Therapy is the nation’s leading outpatient practice. With more than 40 clinics in the New York Tri-State Area and 25 years of experience, Spear provides unprecedented patient access to physical and occupational therapy through its robust list of services covered by most major insurances. Since its founding, Spear has been honored by some of the top medical, academic, and business communities. Among these accolades, they have twice been named the nation’s top physical therapy practice by the American Physical Therapy Association and WebPT, received the Columbia Award for Leadership in Clinical Education, served as official therapists to Olympic teams and Broadway shows, and been featured for their expertise in The New York Times, CBS News, Good Morning America, The Today Show, and more. Learn more about Sear’s history of excellence at spearcenter.com. ", "summaryDescription" : "Therapy Technician at Spear Physical and Occupational Therapy. Skills: Patient care, Clinical excellence. Prepare treatment areas. Gather equipment and materials", "postedDate" : "2026-06-15T21:01:29.466", "createdAt" : "2026-06-15T21:01:29.466", "lastUpdated" : "2026-06-16T11:27:17.030", "ingestTimestamp" : "2026-06-16T03:24:24.017", "mongoId" : "6a3096d6f292fd229c0d6cf5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 17, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Patient care", "Clinical excellence", "Physical therapy", "Occupational therapy" ], "skillCount" : 4, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a17716b58b93c861ee73d01", "title" : "Translational Research Scientist (Cell Therapy Manufacturing)", "industry" : "biomedical research", "salary" : { "min" : 104071.0, "max" : 111707.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Australia", "locations" : [ "Australia" ], "certifications" : [ "Graduate certificate, or equivalent, in Good Manufacturing Practice" ], "timestamp" : "2026-05-28T01:39:40.048", "fingerprint" : "bed6f91005307f2689809cecc0a3aecc01f990116175248012100268e2214e6e", "source" : "workday", "language" : "en", "applyUrl" : "https://wehi.wd3.myworkdayjobs.com/broadbean_external/job/Parkville-Victoria-Australia/Translational-Research-Scientist--Cell-Therapy-Manufacturing-_JR4458-1", "externalId" : "JR4458", "industryFunction" : { }, "locationPoint" : "-25.2744,133.7751", "structuredLocations" : [ { "city" : "Gqeberha", "state" : "Eastern Cape", "country" : "South Africa", "continent" : "af", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Gqeberha, Eastern Cape, South Africa", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD or equivalent research/industry experience", "technicalSkills" : "CAR T cell therapy, Miltenyi Prodigy, Flow cytometry, Digital PCR", "professionalSkills" : [ "Translational research", "Clinical translation", "Regulatory submissions", "Technology transfer", "GMP manufacturing" ], "hardSkillsList" : [ "Cell culture", "Cell manufacturing", "Viral transduction", "Batch release testing" ], "hardSkills" : [ { "name" : "Cell culture", "level" : "intermediate" }, { "name" : "Cell manufacturing", "level" : "intermediate" }, { "name" : "Viral transduction", "level" : "intermediate" }, { "name" : "Batch release testing", "level" : "intermediate" } ], "majorSkills" : "Cell Therapy Manufacturing, CAR T cell therapy, GMP-aligned workflows", "majorSkillsList" : [ "Cell Therapy Manufacturing", "CAR T cell therapy", "GMP-aligned workflows" ], "coreResponsibilities" : "Establish and lead CAR T cell manufacture, Perform magnetic enrichment, viral transduction, and cell culture, Develop and implement GMP-‘aligned’ workflows, Contribute to data packages for regulatory submissions, Lead technology transfer activities, Produce reports and presentations", "teamCollaboration" : "Collaborate with process development teams; 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; GMP cell manufacturing", "domainList" : [ "cell-therapy", "immunology", "biomedical-science", "brain-cancer", "gmp-cell-manufacturing" ], "domainSpecificKnowledge" : [ "Cell therapy", "Immunology", "Biomedical science", "Brain cancer", "GMP cell manufacturing" ], "toolProficiency" : [ "Miltenyi Prodigy" ], "communicationSkills" : "Excellent communication skills", "documentationSkills" : "Excellent documentation skills", "innovationCreativity" : "Pioneering research; Innovative CAR T cell therapies; Immune-based strategies", "specialRequirements" : "Occasional after-hours work", "outcomesObjectives" : "Translate discoveries from bench to bedside; Validate clinical scale manufacture; Produce cells for preclinical testing", "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" : false, "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). Skills: Cell Therapy Manufacturing, CAR T cell therapy, GMP-aligned workflows. Establish and lead CAR T cell manufacture. Perform magnetic enrichment, viral transduction, and cell culture", "postedDate" : "2026-05-27T01:37:05.823", "createdAt" : "2026-05-28T01:37:05.811", "lastUpdated" : "2026-05-28T01:39:40.048", "ingestTimestamp" : "2026-05-28T01:37:05.811", "mongoId" : "6a17716b58b93c861ee73d01", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://wehi.wd3.myworkdayjobs.com/broadbean_external/job/Parkville-Victoria-Australia/Translational-Research-Scientist--Cell-Therapy-Manufacturing-_JR4458-1", "salaryAnnualMin" : 104071, "salaryAnnualMax" : 111707, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Cell culture", "Cell manufacturing", "Viral transduction", "Batch release testing", "Cell Therapy Manufacturing", "CAR T cell therapy", "GMP-aligned workflows", "Translational research", "Clinical translation", "Regulatory submissions", "Technology transfer", "GMP manufacturing", "Cell therapy", "Immunology", "Biomedical science", "Brain cancer", "GMP cell manufacturing", "Graduate certificate, or equivalent, in Good Manufacturing Practice", "Miltenyi Prodigy" ], "skillCount" : 19, "jobCategory" : "engineering", "seniorityLevel" : "mid", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "biomedical research" }, { "id" : "6a3096d6f292fd229c0d6cf8", "title" : "Therapy Technician", "company" : "Spear Physical and Occupational Therapy", "industry" : "Physical Therapy Technician", "salary" : { "min" : 17.0, "max" : 17.0, "currency" : "USD", "frequency" : "per-hour-wage" }, "location" : "Brooklyn, New York", "locations" : [ "Brooklyn, New York" ], "timestamp" : "2026-06-16T10:45:51.447", "fingerprint" : "de65421a3c3625535008ee09547a0d7544596940fa8bd359165437355407e23b", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/spear/21b2df00-3217-4ebf-8480-33d774c4d0d7/apply", "externalId" : "21b2df00-3217-4ebf-8480-33d774c4d0d7", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Brooklyn", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.6526006,-73.9497211" } ], "locationText" : "Brooklyn, New York, United States", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Clinical excellence", "Customer service" ], "hardSkillsList" : [ "Manual dexterity", "General strength", "Endurance" ], "hardSkills" : [ { "name" : "Manual dexterity", "level" : "intermediate" }, { "name" : "General strength", "level" : "intermediate" }, { "name" : "Endurance", "level" : "intermediate" } ], "majorSkills" : "Patient care, Therapy support", "majorSkillsList" : [ "Patient care", "Therapy support" ], "coreResponsibilities" : "Prepare treatment areas, Gather equipment and materials, Perform procedures under supervision, Execute high standard of clinical excellence, Maintain 5-star customer service", "teamCollaboration" : "Collaborative spirit valued; Work in community environment; Proactive attitude; Team-oriented attitude", "domainKnowledge" : "Physical therapy; Occupational therapy", "domainList" : [ "physical-therapy", "occupational-therapy" ], "domainSpecificKnowledge" : [ "Physical therapy", "Occupational therapy" ], "communicationSkills" : "Clear communication", "continuousLearning" : "Mentorship Programs; Future Leaders Program", "specialRequirements" : "Manual dexterity, General strength, Endurance, Lifting loads 5-35 pounds, Carrying loads 5-10#, Pushing loads 5-150#, Sustaining grip 1-2 minutes", "outcomesObjectives" : "Rehabilitating patients' injuries; Rehabilitating patients' confidence; Rehabilitating patients' vitality", "qualificationsBasic" : "Previous customer service experience, Strong communication skills, Ability to multi-task, Attention to detail, Willingness to grow", "qualificationsPreferred" : "Athletic experience a plus", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Description Therapy Technician – Gowanus Spear Physical and Occupational Therapy is seeking a qualified, passionate Therapy Technician to join the team at its Gowanus clinic in Brooklyn ## Job Requirements Physical Therapy Technicians are responsible for supporting patient care by preparing treatment areas, gathering equipment and materials, and performing procedures under the direct supervision of a Physical or Occupational Therapist. Physical Therapy Technicians are expected to execute a high standard of clinical excellence while maintaining 5-star customer service. Spear strives to foster a true community environment for both patients and team members; therefore, a collaborative spirit is valued to ensure everyone receives the care and support they need. Other duties as assigned ## Qualifications Previous customer service experience.Strong communication skills and ability to multi-task.A strong attention to detail and willingness to grow.Athletic experience a plus! ## What we offer Mentorship Programs and Spear's award-winning Future Leaders Program (SFLP). One Medical paid membership.Learn more at onemedical.com/business Medical, Dental, Vision Benefits, Commuter FSA Plan. 401(K) Safe Harbor Match: SPEAR will make a matching contribution equal to 100% of the first 3% of annual compensation, plus 50% of the next 2% of annual compensation. The total SPEAR matching contribution will not exceed 4% of your annual compensation Generous paid time including PTO, Floating Holidays, Company Holidays, Mental Health Employee Perks: discounted rates for entertainment, travel, fitness, insurance plans, etc.Commuter benefit - travel costs from paycheck before taxes.Gym membership discounts with Blink & Crunch Fitness.Company Events - Annual Summer Picnic and Holiday Awards Celebration ## Who we are looking for We value empathy in our team members and a dedication to clinical excellence -- whatever your workstyle -- above all else. While we are looking for both entrepreneurial big-thinkers and those dedicated simply to the day-to-day of treatment, successful candidates will understand that being clear is kind and that actions express priorities. No matter where you are in your career, we are positive you will find your niche with us and grow.Further success factors may include:  A passion for the field of physical and occupational therapy.  A proactive, collaborative, team-oriented attitude because we don’t work in silos.  A dedication to not only rehabilitating patients’ injuries but their confidence and vitality as well.  A sense of accomplishment from pairing your clinical excellence with emotional intelligence.  You celebrate wins and learn from losses with your patients, colleagues, and surrounding communities. A resonance with our SPEAR-IT values:  Service  Passion  Empathy  Accountability  Respect  Impact  Teamwork  ## Physical Requirements Requires the manual dexterity and general strength and endurance Lifting—routinely loads of 5-35 pounds fromFloor to waistWaist to shoulderShoulder to overheadCarrying—routinely loads of 5-10# for 40-50’Pushing---routinely loads of 5-150# on casters, runners or pulleys Sustaining a grip---routinely for 1-2 minutes of 40-50# ## Additional Information ABOUT US: Spear Physical and Occupational Therapy is the nation’s leading outpatient practice. With more than 40 clinics in the New York Tri-State Area and 25 years of experience, Spear provides unprecedented patient access to physical and occupational therapy through its robust list of services covered by most major insurances. Since its founding, Spear has been honored by some of the top medical, academic, and business communities. Among these accolades, they have twice been named the nation’s top physical therapy practice by the American Physical Therapy Association and WebPT, received the Columbia Award for Leadership in Clinical Education, served as official therapists to Olympic teams and Broadway shows, and been featured for their expertise in The New York Times, CBS News, Good Morning America, The Today Show, and more. Learn more about Sear’s history of excellence at spearcenter.com. ", "summaryDescription" : "Therapy Technician at Spear Physical and Occupational Therapy. Skills: Patient care, Therapy support. Prepare treatment areas. 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Physical Therapy Technicians are expected to execute a high standard of clinical excellence while maintaining 5-star customer service. Spear strives to foster a true community environment for both patients and team members; therefore, a collaborative spirit is valued to ensure everyone receives the care and support they need. Other duties as assigned ## Qualifications Previous customer service experience.Strong communication skills and ability to multi-task.A strong attention to detail and willingness to grow.Athletic experience a plus! ## What we offer Mentorship Programs and Spear's award-winning Future Leaders Program (SFLP). One Medical paid membership.Learn more at onemedical.com/business Medical, Dental, Vision Benefits, Commuter FSA Plan. 401(K) Safe Harbor Match: SPEAR will make a matching contribution equal to 100% of the first 3% of annual compensation, plus 50% of the next 2% of annual compensation. The total SPEAR matching contribution will not exceed 4% of your annual compensation Generous paid time including PTO, Floating Holidays, Company Holidays, Mental Health Employee Perks: discounted rates for entertainment, travel, fitness, insurance plans, etc.Commuter benefit - travel costs from paycheck before taxes.Gym membership discounts with Blink & Crunch Fitness.Company Events - Annual Summer Picnic and Holiday Awards Celebration ## Who we are looking for We value empathy in our team members and a dedication to clinical excellence -- whatever your workstyle -- above all else. While we are looking for both entrepreneurial big-thinkers and those dedicated simply to the day-to-day of treatment, successful candidates will understand that being clear is kind and that actions express priorities. 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A resonance with our SPEAR-IT values:  Service  Passion  Empathy  Accountability  Respect  Impact  Teamwork  ## Physical Requirements Requires the manual dexterity and general strength and endurance Lifting—routinely loads of 5-35 pounds fromFloor to waistWaist to shoulderShoulder to overheadCarrying—routinely loads of 5-10# for 40-50’Pushing---routinely loads of 5-150# on casters, runners or pulleys Sustaining a grip---routinely for 1-2 minutes of 40-50# ## Additional Information ABOUT US: Spear Physical and Occupational Therapy is the nation’s leading outpatient practice. With more than 40 clinics in the New York Tri-State Area and 25 years of experience, Spear provides unprecedented patient access to physical and occupational therapy through its robust list of services covered by most major insurances. Since its founding, Spear has been honored by some of the top medical, academic, and business communities. Among these accolades, they have twice been named the nation’s top physical therapy practice by the American Physical Therapy Association and WebPT, received the Columbia Award for Leadership in Clinical Education, served as official therapists to Olympic teams and Broadway shows, and been featured for their expertise in The New York Times, CBS News, Good Morning America, The Today Show, and more. Learn more about Sear’s history of excellence at spearcenter.com. ", "summaryDescription" : "Therapy Technician at Spear Physical and Occupational Therapy. Skills: Patient care, Clinical excellence. Prepare treatment areas. 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TGH Main Campus (TGHMAIN)
1 Tampa General Circle

Tampa, 33601

" ], "certifications" : [ "Registered Nurse – Issued by Florida or Compact State", "Certified Hematopoietic Transplant Coordinator (CHTC) by American Board for Transplant Certification (ABTC)", "Blood and Marrow Transplant Certified Nurse (BMTCN) by Oncology Nursing Certification Corporation (ONCC)" ], "timestamp" : "2026-06-15T08:48:44.862", "fingerprint" : "1f52cb1afea1558b498161d0517a090d99b0febc69bb128b189a8dcc858f06a1", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-tgh.taleo.net/careersection/ex/jobdetail.ftl?job=679171", "externalId" : "679171", "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", "minimumEducation" : "Bachelor's Degree", "professionalSkills" : [ "Care coordination", "Clinical resource", "Decision-making", "Problem-solving", "Patient education", "Interdisciplinary care plans" ], "hardSkillsList" : [ "Disease pathophysiology", "Transplant eligibility criteria", "Cell collection methods", "Patient safety guidelines" ], "hardSkills" : [ { "name" : "Disease pathophysiology", "level" : "intermediate" }, { "name" : "Transplant eligibility criteria", "level" : "intermediate" }, { "name" : "Cell collection methods", "level" : "intermediate" }, { "name" : "Patient safety guidelines", "level" : "intermediate" } ], "majorSkills" : "Cellular therapies, Patient care coordination", "majorSkillsList" : [ "Cellular therapies", "Patient care coordination" ], "coreResponsibilities" : "Coordinate patient evaluation, Prepare patients for transplantation, Manage patients post-treatment, Coordinate patient care, Provide consultation to faculty, Collaborate on protocols, Update protocols and guidelines, Support patient enrollment, Maintain knowledge of current practices, Complete training for consent, Complete data reporting forms, Support clinical practice", "teamCollaboration" : "Collaborate with Research Coordinators; Work with physicians; Work with nurses; Work with social workers; Work with other specialists; Communicate with interdisciplinary teams; Communicate with external providers", "domainKnowledge" : "Oncologic malignancies; Hematologic malignancies; HSC transplantation; Cellular therapies; Transplantation guidelines; FACT standards", "domainList" : [ "oncologic-malignancies", "hematologic-malignancies", "hsc-transplantation", "cellular-therapies", "transplantation-guidelines", "fact-standards" ], "domainSpecificKnowledge" : [ "Oncologic malignancies", "Hematologic malignancies", "HSC transplantation", "Cellular therapies", "Transplantation guidelines", "FACT standards" ], "communicationSkills" : "Educate patients and caregivers; Communicate effectively", "documentationSkills" : "Data reporting forms", "problemSolvingSkills" : "Independent thinking; Rapid decision-making; Innovative approach; Apply appropriate interventions", "qualificationsBasic" : "2 years clinical experience RN, 2 years BMT or Hematology, 2 years clinical research, 2 years insurance prior authorization, 2 years transplant contracting, Registered Nurse license", "qualificationsPreferred" : "Certified Hematopoietic Transplant Coordinator, Blood and Marrow Transplant Certified Nurse", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "Under supervision of the Director of Bone Marrow Transplant (BMT) and Cellular Therapy Program, the ONC Transplant Coordinator coordinates evaluation and preparation of patients for Hematopoietic Stem Cell (HSC) transplantation, cellular therapies and long-term management of patients post-treatment. Coordinates patient care across outpatient clinics, inpatient nursing unit and community to provide continuity of patient care across settings. Serves as a clinical resource for other team members, patients/family/caregivers, referring case managers and community clinicians. Demonstrates knowledge and competence regarding management and care of patients with oncologic and hematologic malignancies and other diseases treated with HSC transplantation and cellular therapies. Exercises wide latitude in decision-making within written organizational and department policies and principles. Responsible for performing job duties in accordance with the mission, vision and values of Tampa General Hospital. Essential Functions: Coordinates and promotes clinical activities of adult and pediatric, autologous and allogeneic HSC transplantation and other cellular therapies. Provides consultation to TGH Medical Faculty, other physicians, nurses and health care professionals who provide health care to HSC transplant or cellular therapy patients. Collaborates in development and updates of protocols and guidelines for BMT and Cellular Therapy Clinical Program SOP Manual. Supports enrollment of transplant and cellular therapy patients in clinical trials by working collaboratively with Research Coordinators. Maintains knowledge of current practices in transplantation/cellular therapy, oncology and hematology, including changes in SOPs, FACT (Foundation for the Accreditation of Cellular Therapy) standards, workflows, guidelines, etc. Completes training required to consent patients to trials involving the Center for International Blood and Marrow Transplant Research (CIBMTR) or procurement of unlicensed umbilical cord blood units. Completes paper- or electronic data reporting forms for CIBMTR and National Marrow Donor program, as needed. Clinical practice support as needed for BMT Cellular Therapy patients during evaluations, transplant and post-transplant follow-up within scope of RN licensure and TGH RN education requirements. Education: Bachelor’s Degree in Nursing License: Registered Nurse – Issued by Florida or Compact State Certification: Certified Hematopoietic Transplant Coordinator (CHTC) by American Board for Transplant Certification (ABTC) Blood and Marrow Transplant Certified Nurse (BMTCN) by Oncology Nursing Certification Corporation (ONCC) (within 2 years of hire) Work Experience and Additional Information : Minimum of two (2) years of clinical experience as an RN caring for acute and chronically-ill adults and/or children. Two (2) years of experience in Blood and Bone Marrow Transplant or Hematology. Two (2) years of experience with clinical research and insurance prior authorization, or transplant contracting. Technical Knowledge, Skills, and Abilities : Knowledge of disease pathophysiology, diagnostic testing, coordination and timing between completion of standard care. Knowledge of transplant/cellular therapy, treatment eligibility criteria, pre-treatment conditioning regimens, immunosuppressive regimens, side effects, supportive care protocols and management of post-treatment complications. Knowledge of evaluation and eligibility criteria for autologous, related family and unrelated donors and methods of cell collection and anticipated side effects. Familiarity with institutional, national and international guidelines for transplant procedures, donor selection and patient safety. Proficiency in educating patients and caregivers about treatment plans, risks and post-treatment care, while advocating for needs and preferences. Independent thinking skills; high degree of problem-solving and rapid decision-making skills, often requiring an innovative approach to resolve complex and unanticipated problems. Ability to apply appropriate interventions to individual patients and patient concerns while performing daily tasks. Ability to manage complex care transitions between outpatient, inpatient and community settings, ensuring continuity and quality of care. Strong ability to communicate effectively with patients, families, interdisciplinary teams and external providers, including case managers and referring clinicians. Ability to work seamlessly with physicians, nurses, social workers and other specialists to develop and implement individualized care plans. Ability to remain composed and effective in fast-paced, high-stakes clinical situations involving critically-ill patients. 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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. Join us in shaping the future of technology.", "summaryDescription" : "People Research Data Scientist, AI Fairness & Bias at OpenAI", "createdAt" : "2026-06-16T00:30:53.527", "lastUpdated" : "2026-06-16T13:40:56.319", "ingestTimestamp" : "2026-06-16T00:30:53.527", "mongoId" : "6a305f0bf292fd229cf77aa6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 198000, "salaryAnnualMax" : 220000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3059d3f292fd229cf4b2e5", "title" : "People Research Data Scientist, AI Fairness & Bias", "company" : "OpenAI", "industry" : "People", "salary" : { "min" : 198000.0, "max" : 220000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco", "locations" : [ "San Francisco", "New York City", "Seattle", "Washington, DC" ], "timestamp" : "2026-06-16T09:09:13.419", "fingerprint" : "7fd6a99b60de64bf1a3a5678cfcfad9cdca417c42e77711fa8b5f2470c881314", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/openai/cadb7c24-2aea-4b98-a793-65ae9388b5d6/application", "externalId" : "cadb7c24-2aea-4b98-a793-65ae9388b5d6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "remoteFriendly" : true, "rawDescription" : "ABOUT THE TEAM OpenAI’s People team hires, engages, and retains world-class talent to safely build and deploy AGI that benefits all of humanity. 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. Join us in shaping the future of technology.", "summaryDescription" : "People Research Data Scientist, AI Fairness & Bias at OpenAI", "createdAt" : "2026-06-16T00:29:38.255", "lastUpdated" : "2026-06-16T09:09:13.419", "ingestTimestamp" : "2026-06-16T00:29:38.255", "mongoId" : "6a3059d3f292fd229cf4b2e5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 198000, "salaryAnnualMax" : 220000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "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. Develop essential tools", "createdAt" : "2026-06-14T21:40:12.222", "lastUpdated" : "2026-06-16T00:57:53.090", "ingestTimestamp" : "2026-06-14T21:40:12.222", "mongoId" : "6a2c771b74d8ee00a093bc14", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Sensor fusion", "State estimation", "Odometry methods", "Sensor calibration", "Regression testing", "Release validation", "Mentorship", "Localization", "Mapping", "Robotics", "Autonomous vehicles", "System architecture", "Technical roadmap", "Project prioritization", "Engineering execution", "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", "ROS", "ROS2" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2176da74d8ee00a0c1b21b", "title" : "Research Scientist, Special Projects", "company" : "Amazon.com Services LLC", "industry" : "Research Science, no business category", "salary" : { "min" : 125000.0, "max" : 169800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T04:04:14.684", "fingerprint" : "fe865e472d0174dabcfd95ffadd5641eabbab168697c8fbf86dec365f9f27324", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10437914/apply", "externalId" : "977df089-d6e5-4f22-8049-527986ba2d84", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "technicalSkills" : "R, SAS, Matlab, SQL", "professionalSkills" : [ "Quantitative analysis", "Data analysis", "Business problems", "Product development" ], "hardSkillsList" : [ "Scientific principles", "Data analysis", "SQL databases", "Forecasting techniques", "Data mining techniques" ], "softSkillsList" : [ "Intellectual curiosity", "Responsiveness", "Flexibility" ], "hardSkills" : [ { "name" : "Scientific principles", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "SQL databases", "level" : "intermediate" }, { "name" : "Forecasting techniques", "level" : "intermediate" }, { "name" : "Data mining techniques", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Intellectual curiosity" }, { "name" : "Responsiveness" }, { "name" : "Flexibility" } ], "majorSkills" : "Data science, Data engineering, ML/AI, Business intelligence, Analytics engineering, Quantitative analysis", "majorSkillsList" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "coreResponsibilities" : "Develop exciting products for consumers, Collaborate with cross-functional teams, Bring products to market", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Special projects", "domainList" : [ "special-projects" ], "domainSpecificKnowledge" : [ "Special projects" ], "continuousLearning" : "Career growth; Training", "innovationCreativity" : "Creating entirely new products; Innovating at scale; Entrepreneurial; Dreamer", "problemSolvingSkills" : "Investigating feasibility", "outcomesObjectives" : "Positively impacting lives of customers", "qualificationsBasic" : "MS degree and 1+ years quantitative field research experience, Investigating feasibility of applying scientific principles, Experience with data analysis package (R, SAS, Matlab, etc.), Using SQL databases to manage and analyze large data sets", "qualificationsPreferred" : "Experience applying forecasting, Experience applying data mining techniques", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company’s Think Big leadership principle to the next level. We focus on creating entirely new products and services with a goal of positively impacting the lives of our customers. No industries or subject areas are out of bounds. If you’re interested in innovating at scale to address big challenges in the world, this is the team for you. As a Research Scientist, you will work with a unique and gifted team developing exciting products for consumers and collaborate with cross-functional teams. Our team rewards intellectual curiosity while maintaining a laser-focus in bringing products to market. Competitive candidates are responsive, flexible, and able to succeed within an open, collaborative, entrepreneurial, startup-like environment. At the intersection of both academic and applied research in this product area, you have the opportunity to work together with some of the most talented scientists, engineers, and product managers. Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have thirteen employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We are constantly learning through programs that are local, regional, and global. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Our team highly values work-life balance, mentorship and career growth. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We care about your career growth and strive to assign projects and offer training that will challenge you to become your best. Basic Qualifications: - PhD in a quantitative field, or MS degree and 1+ years of quantitative field research experience - Experience investigating the feasibility of applying scientific principles and concepts to business problems and products - Experience with data analysis package (R, SAS, Matlab, etc.) - Experience using SQL databases to manage and analyze large data sets Preferred Qualifications: - Experience applying forecasting and data mining techniques - Associate's degree or 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 125,500.00 - 169,800.00 USD annually", "summaryDescription" : "Research Scientist, Special Projects at Amazon.com Services LLC. Skills: Data science, Data engineering, ML/AI, Business intelligence, Analytics engineering, Quantitative analysis. Develop exciting products for consumers. Collaborate with cross-functional teams", "postedDate" : "2026-06-13T11:08:09.897", "createdAt" : "2026-06-13T11:08:09.897", "lastUpdated" : "2026-06-15T04:04:14.684", "ingestTimestamp" : "2026-06-13T11:08:09.897", "mongoId" : "6a2176da74d8ee00a0c1b21b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10437914/apply", "salaryAnnualMin" : 125000, "salaryAnnualMax" : 169800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Scientific principles", "Data analysis", "SQL databases", "Forecasting techniques", "Data mining techniques", "Intellectual curiosity", "Responsiveness", "Flexibility", "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Business problems", "Product development", "Special projects" ], "skillCount" : 17, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c7ae774d8ee00a094753a", "title" : "Cell Testing Engineer", "company" : "Gotion, Inc.", "salary" : { "min" : 90000.0, "max" : 150000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Pleasant Valley, Ohio, United States", "locations" : [ "Pleasant Valley", "Ohio", "United States" ], "timestamp" : "2026-06-16T01:40:06.888", "fingerprint" : "752168eeae3bb0155d5a2489059697b3499db245d41532293ec1efc2c8ec9aba", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/gotion/jobs/7263379002", "externalId" : "7263379002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pleasant Valley", "state" : "Ohio", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.0646742,-80.6779444" } ], "locationText" : "Pleasant Valley, Ohio, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "rawDescription" : "Gotion Inc. is based in Silicon Valley, CA, currently building a Manufacturing facility in Manteno, IL and has R&D centers in Ohio, China, Japan and Europe. We innovate in the next generation electric vehicle and energy storage technologies (lithium batteries and related systems) with the aim to accelerate electrified transportation and achieve sustainable development. Gotion is powered by a leading power battery technology company that provides solutions for vehicles including the world's first mass commercial e-bus route. Gotion is a career destination - we are not simply attempting to just fill another job, but to pursue a dream of global green energy together! We offer outstanding opportunities to individuals seeking an exciting and challenging working environment. Everyone is highly valued and plays a vital role in the growth of our organization. Gotion seeks a Test Engineer to lead the testing efforts for battery cells and systems developed for key account projects. The Test Engineer will design and execute test plans to evaluate the performance, durability, and safety of battery solutions, ensuring they meet client specifications and industry standards. Essential Duties and Responsibilities: Develop and implement test plans for battery cells, modules, and packs. Operate and maintain battery testing equipment and facilities. Analyze test data, identify performance trends, and report findings to the engineering team. Collaborate with R&D to refine battery designs based on test results. Ensure testing procedures comply with industry standards and safety regulations. Manage documentation and reporting of test processes and outcomes. Required Qualifications: Bachelor’s degree in Electrical Engineering, Mechanical Engineering, or related field. Minimum of 3 years of experience in battery testing or a related field. Experience with battery test equipment and data analysis tools. Knowledge of battery technology and industry testing standards. Strong organizational and analytical skills. Base pay is one part of our total compensation package at Gotion, and is determined within a range. This provides you with the opportunity to progress as you grow and advance your career at Gotion. The base pay range for this role is shown below, and will depend on your skills, qualifications, experiences, and location. Expected Pay Range $90,000—$150,000 USD Gotion Inc. is proud to be an equal opportunity employer. We are dedicated to fostering a diverse workforce that reflects the communities we serve, cultivating a culture of inclusion and belonging, and ensuring equal employment opportunities for all. We provide equal opportunity to all individuals regardless of race, creed, color, religion, gender, sexual orientation, gender identity or expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related conditions (including breastfeeding), parental status, criminal histories consistent with legal requirements, or any other characteristic protected by law. 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, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "69ce5e3b9bc74574cb677959", "title" : "Production Engineer(Cell)", "company" : "Mercedes-Benz Group China Ltd.", "industry" : "Manufacturing", "salary" : { "min" : 325000.0, "max" : 510000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Production Engineer in Zhenjiang, China, adjusted for the automotive industry and company size." }, "location" : "China (Mainland)-Jiangsu-Zhenjiang", "locations" : [ "China (Mainland)-Jiangsu-Zhenjiang", "East of HengShan Road and North of YinHe Road, , Zhenjiang" ], "timestamp" : "2026-06-16T01:25:41.904", "fingerprint" : "d29a3b57cef198c172e2af003b287719d2ba196afbd8cd91d0e0b1537179edd7", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=891470", "externalId" : "891470", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Zhenjiang", "state" : "Jiangsu", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "32.1893957,119.4199854" } ], "locationText" : "Zhenjiang, Jiangsu, China", "employmentType" : "CONTRACT", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "MS-Office, PPT, Excel, Power BI", "professionalSkills" : [ "Data analysis", "Problem solving", "Supplier quality management", "Quality assurance", "Production planning", "Change management", "Intercultural communication" ], "hardSkillsList" : [ "Production operation", "Data analysis" ], "hardSkills" : [ { "name" : "Production operation", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "majorSkills" : "Production ramp-up, Quality compliance, Continuous improvement", "majorSkillsList" : [ "Production ramp-up", "Quality compliance", "Continuous improvement" ], "coreResponsibilities" : "Monitor key processes, Monitor rework processes, Monitor Q-gates, Monitor traceability systems, Conduct data analysis, Identify potential quality risks, Secure output efficiency, Secure product quality, Secure transparency, Secure traceability, Set up projects, Correct deviations, Improve deviations, Provide transparent updates, Collaborate with stakeholders, Collaborate with supplier partners, Maintain process standards, Rectify process standards, Improve process standards, Participate in SFM, Join problem solving, Join CI, Support onsite audit, Secure change management, Simulate catch-up plan, Define catch-up plan, Build capability dashboard, Monitor KPIs, Steer in accordance with KPIs, Operate in accordance with KPIs", "teamCollaboration" : "Internal Mercedes-Benz stakeholders; Supplier business partners", "projectManagementSkills" : [ "Technical Project Leader" ], "domainKnowledge" : "Battery technology; Battery development; Battery process", "domainList" : [ "battery-technology", "battery-development", "battery-process" ], "domainSpecificKnowledge" : [ "Battery technology", "Battery development", "Battery process" ], "toolProficiency" : [ "MS-Office", "Excel", "Power BI", "PPT" ], "communicationSkills" : "Intercultural communication; Transparent updates", "problemSolvingSkills" : "Problem solving; Data analysis", "specialRequirements" : "Time limited position till 7/31/2027", "outcomesObjectives" : "Ensure volume output; Ensure quality compliance; Ensure continuous improvement; Ramp up production; Meet planned battery demand", "qualificationsBasic" : "5 years of work experience, Problem-solving experience, Supplier onsite Taskforce experience, Fluent English skills", "qualificationsPreferred" : "Mechanical Engineering degree, Automotive Engineering degree, Technical oriented Business Administration degree, Production planning experience, Supplier quality management experience, Quality assurance experience, International cooperation experience, Intercultural communication skills in China, Cell production experience, German language skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Objective of job To support the implementation of Mercedes-Benz’s battery project success, it is critical to restart production and ramp up onsite with planned battery demand within a tight timeline. We are therefore seeking a Production Expert to join our task force at the supplier site, oversee the production ramp-up across module and pack plant, and ensure volume output, quality compliance, and continuous improvement in line with defined KPIs. The Production Expert is assumed as the Technical Project Leader to: Monitoring conformity of the key processes and rework processes, Q-gates, and traceability systems to ensure full adherence to the standards and conduct data analysis to proactively identify potential quality risks. Work with the supplier team to secure output efficiency, product quality and transparency and traceability, set up projects and lead to correct/ improve deviations. In addition, this role will provide transparent updates on production status, product quality, and improvement before-and-after to stakeholders and management, collaborating with both internal Mercedes-Benz stakeholders and supplier business partners to maintain, rectify, and improve on-site process standards and execution. Task Description Participate in SFM, join problem solving and CI, do data analysis, support onsite audit, secure change management, simulate and define necessary catch-up plan with realistic production capacity assumption. Setup projects and do analysis of complex production issues and deep dives; define, check and track the implementation of short- and long-term measures Build-up capability dashboard and proactively identify the potential quality risk via data analysis regularly Monitoring of KPIs and steering/operating in accordance with the existing KPI set (OEE, output, yield, FTC, …) Qualifications Education Graduated/certified engineer Mechanical Engineering, Automotive Engineering, technical orientated Business Administration or similar Experience Minimum of 5 years of work experience in production/production planning/supplier quality management/quality assurance Problem-solving experience within automobile production/ supplier quality engineering/ equipment planning Experience in international cooperation projects; proven intercultural communication skills in China Supplier onsite Taskforce experience, cell production experience is a huge plus Specific Knowledge High motivation and flexibility combined with a high ability to work independently Good organization skills and structured working function Strong background in production operation or quality assurance or data analysis related areas Proficient knowledge in MS-Office especially in PPT, Excel and Power BI Intercultural competences, team player Intercultural competence and communication skills with various hierarchy levels Knowledge in Battery technology/ development/ process is a huge plus Integrative, open-minded character with excellent analytical, communication and facilitation skills; strong background in dig into data. Coordination skills and quality compliance mindset; motivated by working on new things and fun at work, willing to go the extra mile. Fluent English skills, German language skills is a plus Others: time limited position till 7/31/2027 or earlier. Mercedes-Benz Group China Ltd.", "summaryDescription" : "Production Engineer(Cell) at Mercedes-Benz Group China Ltd.. Skills: Production ramp-up, Quality compliance, Continuous improvement. Monitor key processes. Monitor rework processes", "createdAt" : "2026-06-14T19:47:16.120", "lastUpdated" : "2026-06-16T01:25:41.904", "ingestTimestamp" : "2026-06-14T19:47:16.120", "mongoId" : "69ce5e3b9bc74574cb677959", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Production operation", "Data analysis", "Production ramp-up", "Quality compliance", "Continuous improvement", "Problem solving", "Supplier quality management", "Quality assurance", "Production planning", "Change management", "Intercultural communication", "Technical Project Leader", "Battery technology", "Battery development", "Battery process", "MS-Office", "Excel", "Power BI", "PPT" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "69d140082beec4dd3ddbe4ba", "title" : "Research Scientist, Special Projects", "company" : "Amazon.com Services LLC", "industry" : "Research Science, no business category", "salary" : { "min" : 136000.0, "max" : 184000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T03:13:40.498", "fingerprint" : "122745dab24d463d94aa37fcbc7a2537752d42bea2d04abba83e1474ba62145e", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10382992/apply", "externalId" : "de7d7595-f01a-4ab0-9244-3d10414d5417", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "hardSkillsList" : [ "Quantitative field research", "Scientific principles application", "Data analysis" ], "softSkillsList" : [ "Intellectual curiosity", "Responsiveness", "Flexibility" ], "hardSkills" : [ { "name" : "Quantitative field research", "level" : "intermediate" }, { "name" : "Scientific principles application", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Intellectual curiosity" }, { "name" : "Responsiveness" }, { "name" : "Flexibility" } ], "majorSkills" : "Research, Product development, Innovation", "majorSkillsList" : [ "Research", "Product development", "Innovation" ], "coreResponsibilities" : "Develop exciting products for consumers, Collaborate with cross-functional teams, Bring products to market, Work with talented scientists, Work with talented engineers, Work with talented product managers", "teamCollaboration" : "Cross-functional teams; Entrepreneurial environment; Startup-like environment", "continuousLearning" : "Career growth; Mentorship", "innovationCreativity" : "Creating new products; Creating new services; Innovating at scale; Think Big leadership principle", "problemSolvingSkills" : "Address big challenges", "outcomesObjectives" : "Positively impacting lives of customers", "qualificationsBasic" : "Master's degree and 4+ years quantitative field research experience, Investigating feasibility of applying scientific principles to business problems", "qualificationsPreferred" : "Graduate degree (Ph. D, M. Sc. ) degree within life sciences, Familiarity with data analysis tools and methodologies, Work with a team of researchers to extend and interpret advanced analytical methodologies", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company’s Think Big leadership principle to the next level. We focus on creating entirely new products and services with a goal of positively impacting the lives of our customers. No industries or subject areas are out of bounds. If you’re interested in innovating at scale to address big challenges in the world, this is the team for you. As a Research Scientist, you will work with a unique and gifted team developing exciting products for consumers and collaborate with cross-functional teams. Our team rewards intellectual curiosity while maintaining a laser-focus in bringing products to market. Competitive candidates are responsive, flexible, and able to succeed within an open, collaborative, entrepreneurial, startup-like environment. At the intersection of both academic and applied research in this product area, you have the opportunity to work together with some of the most talented scientists, engineers, and product managers. Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have thirteen employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We are constantly learning through programs that are local, regional, and global. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Our team highly values work-life balance, mentorship and career growth. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We care about your career growth and strive to assign projects and offer training that will challenge you to become your best. Basic Qualifications: - PhD, or Master's degree and 4+ years of quantitative field research experience - Experience investigating the feasibility of applying scientific principles and concepts to business problems and products Preferred Qualifications: - Graduate degree (Ph.D, M.Sc.) degree within life sciences. - Familiarity with data analysis tools and methodologies that are commonly used in modern data analysis. - Work with a team of researchers to extend and interpret advanced analytical methodologies. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually", "summaryDescription" : "Research Scientist, Special Projects at Amazon.com Services LLC. Skills: Research, Product development, Innovation. Develop exciting products for consumers. Collaborate with cross-functional teams", "postedDate" : "2026-06-13T10:24:46.015", "createdAt" : "2026-06-13T10:24:46.015", "lastUpdated" : "2026-06-15T03:13:40.498", "ingestTimestamp" : "2026-06-13T10:24:46.015", "mongoId" : "69d140082beec4dd3ddbe4ba", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10382992/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 184000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Quantitative field research", "Scientific principles application", "Data analysis", "Intellectual curiosity", "Responsiveness", "Flexibility", "Research", "Product development", "Innovation" ], "skillCount" : 9, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a3068adf292fd229cfc50c0", "title" : "Research Scientist", "company" : "NielsenIQ", "industry" : "Market Research", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Research Scientist in Madrid, Spain, adjusted for the Technology industry and company size." }, "location" : "Madrid, MD, Spain", "locations" : [ "Madrid", "MD", "Spain" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T09:28:26.734", "fingerprint" : "db66765602cace3fd8441b8f62ce2b52bd0173b8aad47323f7838d8c137bf8c0", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/NielsenIQ/744000131747127-research-scientist", "externalId" : "744000131747127", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Madrid", "state" : "Madrid", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "40.4237276,-3.6899043" } ], "locationText" : "Madrid, Madrid, Spain", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python, R, Spark, Snowflake, BigQuery, Redshift, Databricks, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Statistical analysis", "Machine learning", "Data engineering", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Modelling skills" ], "hardSkillsList" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, ML/AI, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence" ], "coreResponsibilities" : "Develop and deploy ML models, Design and implement data pipelines, Build and maintain BI dashboards, Perform statistical analysis, Conduct A/B testing, Collaborate with stakeholders", "teamCollaboration" : "Cross-functional teams; Product managers; Engineering teams", "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Dbt", "Fivetran", "Airflow" ], "communicationSkills" : "Present findings; Communicate insights", "documentationSkills" : "Document code; Document models", "continuousLearning" : "Stay updated on ML trends", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "Master's degree, 3-6 years experience, SQL proficiency, Python or R proficiency", "qualificationsPreferred" : "PhD preferred, Experience with ML frameworks, Cloud platform certifications", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "#LI-hybrid We are a team of passionate, curious and diverse professionals who care about each other, our work, our company and the world. 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 research agents). 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. * Fine-tune and evaluate Transformer-based models and embedding models for domain-specific applications. * Contribute to research initiatives in Information Retrieval, Product Matching, Recommendation Systems, and Generative AI. * Collaborate with technical colleagues on the integration of ML solutions. * Contribute to scientific publications, patents, and innovation initiatives. Maintain software and data assets following high-quality engineering standards * Develop and apply machine learning innovations to business problems with moderate technical supervision. * Assess experimental results and determine their applicability to real-world business challenges. * Understand stakeholder requirements and communicate results and recommendations clearly and effectively. * Perform feasibility studies and analyze data to identify appropriate technical solutions. * Develop scalable, reproducible, and maintainable machine learning solutions. ## Qualifications * Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Physics, or a related quantitative discipline. * 3-6 years of experience in Machine Learning, Deep Learning, or AI research. * Experience with Python, PyTorch, Hugging Face, Pandas, Scikit-learn, and Git. * Experience training Transformer models, embeddings, and modern NLP techniques. * Experience training custom SLMs and /or small reasoning models. * Familiarity with Information Retrieval concepts and vector databases (e.g., FAISS, ChromaDB, Pinecone). * Understanding of contrastive learning and representation learning techniques. * Experience performing EDA with large datasets and writing production-quality code. * Ability to understand scientific papers and implement research ideas into practical solutions. * Strong analytical, problem-solving, and communication skills. * Ability to work effectively within a diverse, international team. Good to Have: * Publications in AI, NLP, Information Retrieval, or Recommendation Systems. * Experience with RAG architectures, LLMs, and agent-based frameworks. * Experience with LangChain or LangGraph. * Experience with Knowledge Graphs. * Experience with MLOps practices. * Experience with Databricks, SQL, Elasticsearch. * Experience in retail, consumer intelligence, ecommerce, or FMCG domains. ## Additional Information Salary: €46100 up to €51000 EUR 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. 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" : "Research Scientist at NielsenIQ. Skills: Data science, Data engineering, ML/AI, Business intelligence. Develop and deploy ML models. Design and implement data pipelines", "postedDate" : "2026-06-11T19:31:58.000", "createdAt" : "2026-06-16T00:25:37.194", "lastUpdated" : "2026-06-16T09:28:26.734", "ingestTimestamp" : "2026-06-16T00:25:37.194", "mongoId" : "6a3068adf292fd229cfc50c0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Data science", "Data engineering", "ML/AI", "Business intelligence", "Statistical analysis", "Machine learning", "Analytics engineering", "Quantitative analysis", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker", "Dbt", "Fivetran", "Airflow" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305dbff292fd229cf69f0b", "title" : "Research Scientist", "company" : "NielsenIQ", "industry" : "Market Research", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Research Scientist in Madrid, Spain, adjusted for the Technology industry and company size." }, "location" : "Madrid, MD, Spain", "locations" : [ "Madrid", "MD", "Spain" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T11:19:24.376", "fingerprint" : "61ce800d7fbb4931dedd4400b3640291c93a015b5561833524c92d7523822b14", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/NielsenIQ/744000131747127-research-scientist", "externalId" : "744000131747127", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Madrid", "state" : "Madrid", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "40.4237276,-3.6899043" } ], "locationText" : "Madrid, Madrid, Spain", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python, R, Spark, Snowflake, BigQuery, Redshift, Databricks, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Statistical analysis", "Machine learning", "Data engineering", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Modelling skills" ], "hardSkillsList" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, ML/AI, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence" ], "coreResponsibilities" : "Develop and implement machine learning models, Design and build data pipelines, Create and maintain business intelligence dashboards, Perform quantitative analysis, Collaborate with stakeholders", "teamCollaboration" : "Cross-functional teams", "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "qualificationsBasic" : "Master's degree, 3-6 years experience, SQL proficiency, Python or R proficiency", "qualificationsPreferred" : "PhD preferred, Experience with ML frameworks, Cloud platform certifications", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "#LI-hybrid We are a team of passionate, curious and diverse professionals who care about each other, our work, our company and the world. 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 research agents). 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. * Fine-tune and evaluate Transformer-based models and embedding models for domain-specific applications. * Contribute to research initiatives in Information Retrieval, Product Matching, Recommendation Systems, and Generative AI. * Collaborate with technical colleagues on the integration of ML solutions. * Contribute to scientific publications, patents, and innovation initiatives. Maintain software and data assets following high-quality engineering standards * Develop and apply machine learning innovations to business problems with moderate technical supervision. * Assess experimental results and determine their applicability to real-world business challenges. * Understand stakeholder requirements and communicate results and recommendations clearly and effectively. * Perform feasibility studies and analyze data to identify appropriate technical solutions. * Develop scalable, reproducible, and maintainable machine learning solutions. ## Qualifications * Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Physics, or a related quantitative discipline. * 3-6 years of experience in Machine Learning, Deep Learning, or AI research. * Experience with Python, PyTorch, Hugging Face, Pandas, Scikit-learn, and Git. * Experience training Transformer models, embeddings, and modern NLP techniques. * Experience training custom SLMs and /or small reasoning models. * Familiarity with Information Retrieval concepts and vector databases (e.g., FAISS, ChromaDB, Pinecone). * Understanding of contrastive learning and representation learning techniques. * Experience performing EDA with large datasets and writing production-quality code. * Ability to understand scientific papers and implement research ideas into practical solutions. * Strong analytical, problem-solving, and communication skills. * Ability to work effectively within a diverse, international team. Good to Have: * Publications in AI, NLP, Information Retrieval, or Recommendation Systems. * Experience with RAG architectures, LLMs, and agent-based frameworks. * Experience with LangChain or LangGraph. * Experience with Knowledge Graphs. * Experience with MLOps practices. * Experience with Databricks, SQL, Elasticsearch. * Experience in retail, consumer intelligence, ecommerce, or FMCG domains. ## Additional Information Salary: €46100 up to €51000 EUR 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. 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" : "Research Scientist at NielsenIQ. Skills: Data science, Data engineering, ML/AI, Business intelligence. Develop and implement machine learning models. Design and build data pipelines", "postedDate" : "2026-06-11T19:31:58.000", "createdAt" : "2026-06-16T00:19:10.149", "lastUpdated" : "2026-06-16T11:19:24.376", "ingestTimestamp" : "2026-06-16T00:19:10.149", "mongoId" : "6a305dbff292fd229cf69f0b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Data science", "Data engineering", "ML/AI", "Business intelligence", "Statistical analysis", "Machine learning", "Analytics engineering", "Quantitative analysis", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "68c2e43bf8b1b0376634c8fb", "title" : "Research Scientist, Special Projects", "company" : "Amazon.com Services LLC", "industry" : "Research Science, no business category", "salary" : { "min" : 136000.0, "max" : 212800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T04:27:54.515", "fingerprint" : "269458dfa6e87eeda50cb9507bf798bd7238b0b841e9efc7dc484e77e4e4dc5c", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3071424/apply", "externalId" : "156cc345-4bb7-4322-b6bd-1658495f6dc9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "experienceMinYears" : 4, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "professionalSkills" : [ "Life science", "Computer science" ], "hardSkillsList" : [ "Quantitative research", "Data analysis" ], "softSkillsList" : [ "Curious" ], "hardSkills" : [ { "name" : "Quantitative research", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curious" } ], "majorSkills" : "Scientific principles, Data analysis", "majorSkillsList" : [ "Scientific principles", "Data analysis" ], "coreResponsibilities" : "Create new products, Create new services, Impact lives of customers, Address big challenges", "teamCollaboration" : "Multidisciplinary teams; Life science teams; Computer science teams", "domainKnowledge" : "Life sciences", "domainList" : [ "life-sciences" ], "domainSpecificKnowledge" : [ "Life sciences" ], "toolProficiency" : [ "Data analysis tools" ], "continuousLearning" : "Constantly learning", "innovationCreativity" : "Innovating at scale; Entrepreneurial environment", "problemSolvingSkills" : "Apply scientific principles", "outcomesObjectives" : "Positively impacting lives", "qualificationsBasic" : "4+ years quantitative field research experience, Investigating feasibility of scientific principles, Analyzing experimental data sets, Analyzing observational data sets", "qualificationsPreferred" : "Work within multidisciplinary teams, Expertise with life sciences methods, Familiarity with data analysis tools, Work with researchers, Work successfully within entrepreneurial environment, Broad familiarity with life sciences, Establish and manage external partnerships", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company’s Think Big leadership principle to the extreme. We focus on creating entirely new products and services with a goal of positively impacting the lives of our customers. No industries or subject areas are out of bounds. If you’re interested in innovating at scale to address big challenges in the world, this is the team for you. Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have thirteen employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We are constantly learning through programs that are local, regional, and global. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Our team highly values work-life balance, mentorship and career growth. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We care about your career growth and strive to assign projects and offer training that will challenge you to become your best. Basic Qualifications: - PhD, or Master's degree and 4+ years of quantitative field research experience - Experience investigating the feasibility of applying scientific principles and concepts to business problems and products - Experience analyzing both experimental and observational data sets Preferred Qualifications: - Ability to work within multidisciplinary teams at the interface of life science and computer science. - Expertise with cutting life sciences methods and concepts. - Familiarity with data analysis tools and methodologies that are commonly used in modern laboratory data analysis. - Work with a team of researchers to extend and interpret advanced analytical methodologies. - Ability to work successfully within an entrepreneurial environment. - Broad familiarity with different areas of the life sciences. - Ability to establish and manage external partnerships with key technology partners and collaborators 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, Special Projects at Amazon.com Services LLC. Skills: Scientific principles, Data analysis. Create new products. Create new services", "postedDate" : "2026-06-13T05:36:31.408", "createdAt" : "2026-06-13T05:36:31.408", "lastUpdated" : "2026-06-15T04:27:54.515", "ingestTimestamp" : "2026-06-13T05:36:31.408", "mongoId" : "68c2e43bf8b1b0376634c8fb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3071424/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 212800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Quantitative research", "Data analysis", "Curious", "Scientific principles", "Life science", "Computer science", "Life sciences", "Data analysis tools" ], "skillCount" : 8, "jobCategory" : "other", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true } ], "status" : 200, "message" : "translational research scientist cell therapy manufacturing jobs", "metadata" : { "title" : "translational research scientist cell therapy manufacturing" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 14533, "totalPages" : 291, "hasNext" : true, "hasPrevious" : false } }

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