Research Scientist

• Evaluate and develop improvements to quantum error correction strategies, algorithms, and software to enable practical execution of applications on quantum hardware
• Develop software components to handle QEC details in quantum circuit compilation, emulation/simulation, and resource estimation
• Develop or integrate real-time decoder technologies into HPE's HPC-QC software stack
• Contribute to HPC-QC architecture decisions with detailed knowledge of quantum error correction strategies
• Create and demonstrate novel quantum error correction components and describe these in publications and presentations
• Extend open-source software and improve quantum circuit compilation and simulation capabilities
• Demonstrate workflow strategies for applications that combine high performance and quantum computing, and participate in standardization of key interfaces

Senior QEC Researcher – Integrated HPC & Quantum Solutions

• Applying Pharmacokinetic/Pharmacodynamic (PK/PD) modeling to drive project team decisions from early discovery through early clinical studies.
• Contributing to guide modeling and simulation strategies within the organization.

Senior Principal Scientist, Preclinical Safety – Translational Pharmacokinetics/Pharmacodynamics

• Research Assistants are at the forefront of innovation and material testing at Meissner.
• The Research Assistant works collaboratively with R&D Engineers and Scientists assisting with the routine operations of development, testing, quality, and production of new products and technology.
• They will work directly with the R&D Scientific & Engineering teams; carrying out laboratory experiments, using scientific imaging tools and analytical instrumentation to bring future technologies from bench-scale to pilot-scale.
• Carry out experiments and research according to protocols laid out by primary researchers and engineers.
• Capability to learn new techniques and procedure rapidly and frequently is essential.
• Learn how to use current and future scientific equipment that may include: microscopes, analytical instruments, spectroscopic tools, metrology tools.
• Assist in projects by collecting and recording experimental data accurately electronically and in notebooks.
• May support cell culture tasks and assist in processes and method establishment for laboratory-scale cell culture experiments.
• Maintain meticulous records of experimental details, daily updates of spreadsheets and lab books with the attention to detail and accuracy to ensure reliable data is available for use by team members.
• Carry out experiments in a timely manner, respecting established deadlines.
• Conduct meaningful and accurate statistical analyses of data sets.
• Write short reports and summaries that can be used by team members to advance projects.
• Prepare graphs and spreadsheets to present results and keep track of activities (KPIs).
• Create presentation slides to present findings on a regular basis, and when necessary.
• Maintain equipment (both scientific and industrial) in proper working order and clean.
• Take on tasks that are mechanical in nature after receiving proper training. For example, assembly/disassembly of equipment and fixtures for experiments, setup of experiments, product testing and material testing as required.
• Assist in the operations of the R&D departmental pilot and production activities, including assistance in production, cleaning and maintenance of facilities and equipment.

R&D Research Assistant

• coordinate and schedule research activities such as interviews, focus groups, and survey administrations; cultivate and sustain strategic partnerships with internal and external teams; assist with participant recruitment and incentive management.
• maintain data collection and implementation measurement systems to monitor program quality; participate in various data collection efforts (e.g., focus group, surveys, interviews, etc.); conduct user needs assessments and use data-driven frameworks to guide continuous product iteration.
• build, maintain, clean, and manage large datasets (e.g., Common Core of Data school directory files, client implementation databases, etc.) using Stata, R or another statistical software package; effectively summarize descriptive data for client products, dissemination, and annual reports.
• contribute to the and writing of small-to-large project reports and proposals; assist in the preparation and submission of large and small proposals.
• present project work to internal project teams; interface with research participants related to data collection, analyses and reports; communicate effectively with internal colleagues about project needs, including IRB, the Data Protection Office, and Accounting.

Quantitative Research Assistant

• Lead user research for the software team connecting members to healthcare partners. Plan, conduct, and analyze a range of user research studies, including ethnographic studies, contextual inquiries, user interviews, surveys, and diary studies to gather both qualitative and quantitative data.
• Bring clinical and regulatory context into product decisions — understanding how FDA-regulated features, HIPAA consent flows, and EHR integrations shape what's possible and what's appropriate for members.
• Develop research-backed frameworks for how Oura surfaces clinical-grade data (biomarkers, lab results, risk signals) to consumer audiences in a way that's clear, actionable, and emotionally resonant — not alarming.
• Partner with the clinical and health science teams to ensure research bridges behavioral and physiological insight — understanding not just what users do but what health context drives those behaviors.
• Build and maintain a longitudinal view of our members from the lens of connected care— their motivations, anxieties, health literacy, and relationship with clinical care — that informs roadmap prioritization.

Senior UX Researcher – Human Care

• Assisting with preparation and execution of Spanish language camera trap deployment trainings for students in Ensenada
• Translation of camera trap data management workflow documentation and instructions from English into Spanish
• Training students located in Ensenada on camera trap data management workflow (in person or virtual)
• Camera trap deployment and data management support in San Diego
• Assist with project logistics, communications, outreach events in both San Diego and Ensenada
• Preparation of one scientific publication using San Diego Healthy Canyons data, under the mentorship of Department of Conservation Biology staff
• Responsibilities may also include: Field site visits/biodiversity surveys in San Diego and Baja California, Mexico

Conservation Biology Research Assistant

• Defines and drives enterprise artificial intelligence and machine learning strategy aligned with organizational priorities
• Leads the design, validation, deployment, monitoring, and continuous improvement of advanced artificial intelligence and machine learning solutions
• Architects scalable end-to-end production systems, including model training, evaluation, deployment, monitoring, and lifecycle management
• Translates complex business challenges into scalable artificial intelligence solutions with measurable outcomes
• Establishes technical standards, reusable patterns, and best practices for enterprise artificial intelligence development and governance
• Partners with business and technology leaders to influence capability roadmaps and deliver sustainable business value
• Mentors data scientists, machine learning engineers, researchers, and technical leaders

Principal Applied Scientist

• Develop chemically grounded hypotheses that guide materials discovery and help clarify which scientific relationships matter most.
• Translate fundamental chemical intuition into scientific inputs, constraints, evaluation criteria, and validation strategies for AI-assisted materials workflows.
• Analyze complex inorganic and functional materials systems to identify structure-property relationships relevant to batteries, fuel cells, and other emissions-free mobility technologies.
• Partner with ML researchers and software engineers to ensure that materials-design tools reflect sound chemical reasoning and are scientifically meaningful.
• Design and assess workflows that connect computational materials modeling, experimental data, literature evidence, and AI-assisted prediction or optimization.
• Evaluate model outputs using domain knowledge, first-principles calculations, experimental data, or other appropriate scientific benchmarks.
• Communicate scientific insights clearly through internal technical discussions, cross-functional collaborations, publications, and presentations.
• Collaborate with colleagues across TRI, Toyota, universities, and national labs to translate emerging materials-discovery methods into useful research capabilities.

Senior Research Scientist

• Independently design and manage experiments for testing next-generation antibody therapeutics, including construct design, expression and purification strategies, and implementation of novel analytical assays.
• Provide technical leadership for complex projects which may include elements of protein engineering, synthetic biology, high-throughput sequencing, and in vitro assays.
• Contribute ideas for new assays and technologies to enable the next-generation of GigaGen products and work with management to obtain support and resources to be successful.
• Stay abreast of cutting-edge tools and new technologies related to GigaGen’s antibody discovery platform and coordinate for testing and implementation.
• Contribute to brainstorming sessions and troubleshooting efforts within the team.
• Propose and manage goals, timelines, and personnel for multiple projects, and drive internal and external communications within and across teams to ensure goals are met on time.
• Synthesize and interpret complex data for internal and external presentations.
• Mentor junior lab staff, with opportunities for management of one or more staff.
• Initiate and manage projects with external vendors.

Principal Scientist, Antibody Engineering

• Lead metabolomics research initiatives focused on developing and optimizing cell culture media for a diverse portfolio of cell therapy products
• Provide scientific and strategic guidance to establish highly-productive platform processes while serving as the primary technical expert and thought leader in cell therapy media development
• Designing and developing chemically-defined cell culture media platforms tailored to meet the unique needs of T cell therapies, stem cell therapies, and other cell-based products
• Applying advanced metabolomics tools, computational methods, and -omics technologies to deeply understand cell metabolism and drive continuous improvement in cell culture performance
• Leading technology transfer initiatives and collaborate with manufacturing operations to translate laboratory innovations into scalable, robust processes
• Providing technical leadership and strategic guidance to process development teams, media preparation operations, and supply chain partners to resolve complex challenges and optimize raw material selection
• Mentoring and developing scientific staff within the Cell Therapy Process Development group, fostering a culture of technical excellence, lean thinking, and continuous improvement
• Interfacing effectively across multiple internal stakeholder groups (Analytical Development, Research, Manufacturing, Quality) and external collaborators to align priorities and drive impactful outcomes
• Establishing thought leadership through peer-reviewed publications, conference presentations, and participation in industry discussions on metabolomics and cell therapy manufacturing

Senior Principal Scientist – Metabolomics, Cell Therapy Media Development

• Develop novel diffusion models and generative learning algorithms.
• Research new representation learning techniques for Large Tabular Models.
• Design efficient training methods for large-scale generative models.
• Prototype and evaluate new generative modeling approaches.
• Design rigorous experiments and benchmarks to measure model quality and efficiency.
• Collaborate closely with Prof. Andrea Montanari and Granica's research team to translate research into production systems.

Research Scientist – Diffusion Models

• Drive discovery and translational projects in collaboration with AI and internal research teams with a primary focus on integrating scRNA-seq and spatial biology into Natera’s pipeline.
• Collaborate with external translational teams on building single-cell and spatial biology workflows into their early phase clinical studies.
• Leverage novel technologies to inform collaborative reverse and forward translation efforts as well as internal target discovery and validation projects.
• Design and execute lab-based research programs that bridge clinical observations with mechanistic hypotheses, supporting asset progression and CDP expansion
• Lead and contribute to technology area team focused on single cell genomics and spatial omics, building out multiomics capabilities to support foundational models and RWD efforts
• Partner with internal and external collaborators to establish, optimize, and deploy cutting-edge platforms for translational applications
• Serve as an internal expert and thought leader on emerging genomics technologies relevant to oncology drug discovery and development
• Represent translational science on life cycle, RWD, and BioPharma BD teams
• Collaborate with Clinical, Biomarker, Discovery, and Regulatory colleagues to shape clinical trial design and biomarker plans
• Build and maintain external scientific partnerships and advisory relationships as appropriate
• Lead and mentor a team of scientists and contractors, with a strong commitment to career development and scientific growth
• Foster a collaborative, high-performance team culture with clear goals and accountability

Principal Scientist, Translational Oncology – Single Cell and Spatial Genomics

• Set technical direction for core replenishment R&D — define the modeling roadmap across demand forecasting, inventory optimization, and decision-making policy, and align it with product and business strategy.
• Model complex problems such as inventory decay, promotions, price elasticity, and inventory uncertainty, and implement solutions to multi-stage and multi-echelon inventory optimization problems.
• Drive fundamental changes to our core system from research through production, writing rigorously tested and scalable code.
• Lead research and development for new product and business challenges.
• Raise the technical bar across the Intelligence team: mentor scientists and engineers, set standards for experimental rigor, and review designs and results.
• Push the boundaries of AI capabilities in both products and scientist workflows.

Staff Applied Scientist – Distribution Center

• Partner with our pharma clients to design, develop and execute computational research projects leveraging the Tempus platform to advance precision medicine research programs
• Analyze and integrate large diverse clinical and molecular datasets to extract insights and drive new research opportunities
• Stay ahead of research and industry trends in oncology drug development, and identify specific areas where the Tempus platform can establish new markets
• Become an expert in our biopharma partners’ strategy, pipeline and portfolio to proactively determine all areas that the Tempus platform could add value to the drug development process of our partners
• Develop and drive global account strategy in coordination with the account team
• Document, summarize and communicate highly technical results and methods clearly to non-technical audiences
• Work directly with clients to co-architect solutions and projects that leverage the Tempus platform to solve customers' challenges and maintain R&D relationships as the trusted technical advisor
• Author whitepapers and illustrate the value of multimodal analysis and AI in drug discovery in coordination with our Research, Engineering & Data Science teams
• Work with Product and Engineering teams to streamline workflow of computational analyze
• Contribute to the development of the portfolio by providing feedback to leadership regarding client responses and suggestions; maintain a solution-oriented mindset
• Track progress against defined strategic objectives and goals; review progress/setbacks frequently wi broader Account Team and Tempus leadership
• Travel approximately 25% of working time, domestically and internationally

Senior Scientist I, Translational Research

• Partner with our pharma clients to design, develop and execute computational research projects leveraging the Tempus platform to advance precision medicine research programs
• Analyze and integrate large diverse clinical and molecular datasets to extract insights and drive new research opportunities
• Stay ahead of research and industry trends in oncology drug development, and identify specific areas where the Tempus platform can establish new markets
• Become an expert in our biopharma partners’ strategy, pipeline and portfolio to proactively determine all areas that the Tempus platform could add value to the drug development process of our partners
• Develop and drive global account strategy in coordination with the account team
• Document, summarize and communicate highly technical results and methods clearly to non-technical audiences
• Work directly with clients to co-architect solutions and projects that leverage the Tempus platform to solve customers' challenges and maintain R&D relationships as the trusted technical advisor
• Author whitepapers and illustrate the value of multimodal analysis and AI in drug discovery in coordination with our Research, Engineering & Data Science teams
• Work with Product and Engineering teams to streamline workflow of computational analyze
• Contribute to the development of the portfolio by providing feedback to leadership regarding client responses and suggestions; maintain a solution-oriented mindset
• Track progress against defined strategic objectives and goals; review progress/setbacks frequently with broader Account Team and Tempus leadership
• Travel approximately 25% of working time, domestically and internationally

Scientist II, Translational Research

• Lead immunology-driven research strategy across pipeline programs to support scientific narrative and indication assessment, integrating literature, experimental data, and translational insights
• Design and oversee mechanism-of-action studies to elucidate target biology, pathway modulation, and disease relevance across in vitro, ex vivo, and in vivo models, executed in partnership with CROs
• Partner closely with Translational Medicine, Clinical Pharmacology, and Nonclinical teams to ensure alignment of preclinical findings with clinical strategy
• Generate and interpret complex datasets (e.g., cellular immunology, cytokine profiling, pathway analysis), ensuring rigorous and hypothesis-driven conclusions
• Identify and validate new targets and pathways for pipeline expansion, leveraging deep understanding of disease biology, emerging science, and internal platform capabilities
• Evaluate and prioritize new indication opportunities, integrating mechanistic rationale, competitive landscape, and translational feasibility
• Support external collaborations and CRO activities, providing scientific direction and technical oversight to ensure high-quality data generation
• Author and contribute to scientific documents, including study reports, regulatory sections (e.g., IND-enabling rationale), presentations, and publications
• Present findings to internal governance teams and external scientific forums
• Stay current with advances in immunology, inflammation, and translational science, applying new insights to strengthen program and pipeline strategy

Principal Scientist, Immunology

• Read, analyze, and synthesize neuroscience, cognitive science, and computational neuroscience literature.
• Develop biologically plausible computational models of neural circuits, brain regions, and large-scale brain systems.
• Compare model predictions with experimental data and refine models accordingly.
• Propose and pursue original research directions that advance our understanding of brain computation.
• Document research findings and communicate results through technical reports, publications, and presentations.

Research Scientist – Computational Neuroscience

• You will be joining a small grantmaking team to contribute to our ambitious research agenda on livelihoods.
• You’ll sift through the countless questions we could try to answer, honing in on those that matter most.
• You’ll also communicate externally about your work and advise other researchers on the team.
• You will shape a research agenda that brings rigor and creativity to the thorniest questions the GiveWell livelihoods team faces.
• Your work will combine empirical evidence review and critical synthesis, cost-effectiveness modeling, discussions with subject matter experts, and your own judgment.

Senior Livelihoods Researcher

• You will be joining a small grantmaking team to contribute to our ambitious research agenda on nutrition. You'll sift through the countless questions we could try to answer, and hone in on those that matter most.
• You'll also communicate externally about your work and mentor and advise other researchers on the team.
• You will shape a research agenda that brings rigor and creativity to the thorniest questions the GiveWell nutrition team faces. Your work will combine empirical evidence review and critical synthesis, cost-effectiveness modeling, discussions with subject matter experts, understanding of the broader context, and your own judgment.
• Tackle thorny research questions in our existing portfolios. For example: how should we calibrate our cost-effectiveness estimates to real-world program performance?
• Design and oversee learning grants. You'll help design impact evaluations for new and existing programs, and supervise researchers executing that work — from scoping the research question through to interpreting results and integrating them into our models.
• Build our evidence base in new programmatic areas. This includes synthesising existing research, commissioning new research, and in some cases funding primary data collection — with the goal of determining whether a new intervention meets GiveWell's cost-effectiveness bar and is ready for major grantmaking.
• Provide research support to grantmakers. You'll ensure our cost-effectiveness models reflect our best current understanding of the programs we fund, by stress-testing assumptions, incorporating new data, and flagging where uncertainty is high enough to warrant further investigation.

Research Scientist jobs in California

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Senior QEC Researcher – Integrated HPC & Quantum Solutions

Senior Principal Scientist, Preclinical Safety – Translational Pharmacokinetics/Pharmacodynamics

Senior Principal Scientist, Preclinical Safety – Translational Pharmacokinetics/Pharmacodynamics

R&D Research Assistant

Quantitative Research Assistant

Senior UX Researcher – Human Care

Conservation Biology Research Assistant

Principal Applied Scientist

Senior Research Scientist

Principal Scientist, Antibody Engineering

Senior Principal Scientist – Metabolomics, Cell Therapy Media Development

Research Scientist – Diffusion Models

Principal Scientist, Translational Oncology – Single Cell and Spatial Genomics

Staff Applied Scientist – Distribution Center

Senior Scientist I, Translational Research

Scientist II, Translational Research

Principal Scientist, Immunology

Research Scientist – Computational Neuroscience

Senior Livelihoods Researcher

Senior Nutrition Researcher