Scientist jobs in San Francisco, California - Page 5Create job alerts

Managing a team of exceptional scientists and research associates. Located in the MBC BioLabs at 135 Mississippi Street, an entrepreneurial hub full of the best scientists and operators the Bay Area has to offer. As an early-stage startup, we value scientists with an independent, can-do attitude.

Role Summary: We are seeking a highly skilled and experienced Computer Scientist to join our dynamic team, focusing on the development, optimization, and application of Large Language Models (LLMs).The ideal candidate will have a proven track record of working on LLM projects, with extensive experie

An early-stage healthcare AI team is looking for a Principal Data Scientist to lead the data function. This is a mid-senior level role ideal for someone with over 8 years of experience in data science. You will build predictive models, analyze claims and EMR data, and work closely with clinical team

Senior Environmental Inspector/Biologist. A-T-S is accepting applications for an Environmental Inspector (EI)/Project Biologist/Environmental Scientist. Experience with various permits and for biologists holding a California Scientific Collectors Permit, federal recovery permit, and/or a Memorandum

Work interactively and cooperatively with all functions of the company and with senior staff to help achieve the company’s vision.

A leading transcription service provider in San Francisco is looking for a highly skilled Computer Scientist to enhance the performance of Large Language Models (LLMs), focusing on Retrieval Augmented Generation (RAG) models and optimization techniques.

Responsibilities include developing predictive models, managing timelines, and collaborating with various stakeholders to meet business needs. A leading technology firm in San Francisco is looking for a Senior Data Scientist to join their ML Business Modeling team. The ideal candidate will have a Ba

See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. We also work with flagship GenAI product teams on understanding Google-wide GenAI safety postures in production traffic. Learn more about benefits at Google.

Implement surrogate models, physics‑informed neural networks, or generative approaches for scientific problems. Deep understanding of scientific computing, numerical methods, and computational modeling. Experience with physics‑informed machine learning or scientific foundation models.

At Edison Scientific, we know that titles can cover a range of experience levels. Edison Scientific focuses on building and commercializing AI agents for science, and shares FutureHouse’s mission to build an AI Scientist- scaling autonomous research, productizing it, and applying it to critical ch

Organizationally, we are a part of a large data science team in Core, which provides ample opportunities for knowledge sharing, development, and learning from other data scientists working in adjacent domains. Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations R

We are Arcadia Science, an evolutionary biology company founded and led by scientists. PhD or equivalent experience in life sciences or related fields and at least three years of post‑PhD work experience in academia or industry. We try to develop novel approaches for every aspect of our science, a

Senior Forward Deployed Data Scientist/Engineer. End-to-End Data Solution Development: Design, build, and deploy solutions across the entire data lifecycle—from data ingestion and pipeline construction to statistical modeling, experimentation, model evaluation, and insight generation. We are looki

End‑to‑End Data Solution Development: Design, build, and deploy solutions across the entire data lifecycle—from data ingestion and pipeline construction to statistical modeling, experimentation, model evaluation, and insight generation. We are looking for a Forward Deployed Data Scientist/Engi

The University of California, San Francisco is seeking an Imaging Scientist to facilitate the development and optimization of advanced imaging techniques.This role involves collaboration with multidisciplinary teams, technical support, and contribution to research proposals, making it a pivotal posi

A leading biotech firm is seeking a Bioinformatics Data Scientist to design and build data analysis pipelines while collaborating with R&D scientists.

A leading autonomous technology company is seeking a Software Engineer/Data Scientist for Large Model Evaluation. This role involves developing metrics and conducting data analysis to improve ML models, specifically for driving performance in autonomous systems.

Job Description Corvus Pharmaceuticals is a clinical and late-stage biopharmaceutical company developing novel therapies with the potential to significantly improve the treatment of immune diseases and cancer. Our lead program, soquelitinib, is a first-in-class, oral therapy that selectively inhibits ITK to modulate and control parallel signaling pathways in the immune system. We are a small innovative and collaborative biotech company looking for like minded individuals to help grow the company and career. We work on-site alongside our colleagues to help build collaboration. ROLE AND RESPONSIBILITIES • Provides strategic input and development support for clinical plans and individual study protocols, • Writes or assists in writing of clinical plans and study protocols and protocol amendments in close collaboration with VP, Clinical Development, • Writes or assists in writing Investigator Brochures, DSURs and other regulatory documents Assist other team members in Clinical Development in the implementation and conduct of clinical trial which includes but not limited to review of enrollment packets, review of adverse events and all other clinical data generated during conduct of trial, • Assist in Medical Monitor responsibilities, • Work closely with Data Management to ensure that all relevant clinical data is collected in a timely manner and assist with cleaning of data listings, • Participates in the development of clinical operating guides and m_aintains secure study files Reviews results of these evaluations with appropriate management prior to implementation, • May require travel to field sites and scientific meetings, • Works on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors, • Exercises judgment in selecting methods, techniques and evaluation criteria for obtaining results, • Determines methods and procedures on new assignments, • May coordinate activities of other personnel (team lead)QUALIFICATIONS AND EDUCATION REQUIREMENTS, • PhD, PharmD, R.N, Nurse Practitioner or Physician Assistant required, • 3+ years of biotech experience (oncology, dermatology or autoimmune diseasePREFERRED SKILLS, • Excellent teamwork and collaboration skills, • Proficient with Microsoft Office., • Able to build effective working relationships throughout the organization internally and externally to achieve goals., • Flexibility and willingness to solve problems that fall outside of immediate area of expertise, • Clear and concise verbal and written communication skills and strong organizational skills, with an exceptional attention to detail., • Work independently in an interdisciplinary, fast-paced, often changing environment. lZ6BhedBDh

We are looking for a Lead Data Engineer to build our Data Engineering function. You will collaborate with the data scientist and engineers to design, build, and scale high-leverage data models, foundational datasets and scalable infrastructure that enables analytics, modeling, and experimentation. E

Hands‑on expertise with CAR‑T cell assays, CRISPR/Cas gene‑editing workflows and biophysical characterization techniques. Technical Sales Specialist / Field Application Scientist – Cellular Immunotherapy & Gene Editing. Ready to introduce cutting-edge cellular immunotherapy and gene-editing

On the Rider Experience Science team, you’ll have the opportunity to work on the core mobility business and influence the experience for millions of riders. We drive growth in the mobility business by understanding how riders use the app, delivering a seamless experience, and creating new personal

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: STEM Computational Scientific Software & Evaluation Design Type: Contract Compensation: $45–$100/hour Location: Remote Commitment: 15–20 hours/week Role Responsibilities • Design computational problems using domain-specific scientific software libraries., • Evaluate AI models by testing problem-solving capabilities in scientific workflows., • Develop strategies for querying simulations and interpreting outputs., • Collaborate to refine problem designs through calibration with AI models. Must-Have • Graduate-level training in a relevant STEM domain (MS, PhD, or equivalent research experience)., • Proficiency with at least one listed scientific software library., • Strong Python programming skills., • Ability to work in a Linux/terminal environment., • Experience across multiple listed domains or tools., • Familiarity with benchmark or evaluation design., • Background in scientific pedagogy or exam/problem-set design., • Upload resume, • AI interview based on your resume #hiringmercor

Candidates should hold a PhD in life sciences and have experience in programming and wet lab work.

A leading tech company in San Francisco is seeking a Data Scientist to enhance the Rider Experience.

Job Description About Flexion: At Flexion, we’re building the intelligence layer powering the next generation of humanoid robots. Our mission is to accelerate the transition from fragile prototypes to real-world humanoid deployment. We are founded by leading scientists in robot reinforcement learning (ex-Nvidia, ex-ETH Zürich), and backed by leading international VC firms. In just months, we’ve gone from our first line of code to deploying real humanoid capabilities. Fifty of the world's best robotics researchers are already building the future at Flexion's headquarters in Zurich. Among them are Nikita Rudin, David Hoeller, Julian Nubert, and Korrawe Karunratanakul - scientists who have redefined what humanoid robots can do. Now we are building their counterpart team in the United States, in San Francisco. The Role: If you are among the most capable, and ambitious robotics researchers in the country, someone who has stared at the limits of what robots can do today and decided that simply wasn't good enough, we want to hear from you. You will join the first wave of US research scientists at Flexion, set the agenda together, own the problems that matter most, and deploy real solutions on real hardware. You will work directly with a world class team across two continents on challenges that have no published answers yet. Key Responsibilities: • Drive original research in learning-based robotics - from concept to hardware deployment, • Own your research direction: define problems, design experiments, and iterate fast, • Collaborate directly with Flexion’s Zurich research team across Manipulation, Motion Generation, and Perception, • PhD in Robotics, Machine Learning, or a closely related field - completed or near completion, • Proven track record of deploying learning-based controllers on real robotic hardware, • Expert-level knowledge in:, • Reinforcement learning, • Physics-based simulation (Isaac Gym/Lab, MuJoCo, or equivalent), • Python and PyTorch, including training large-scale neural networks, • Deep expertise in at least two areas of the following:, • Diffusion models, • Flow matching, • Dexterous manipulation, • Sim-to-real transfer and real-to-sim calibration, • Whole-body control and loco-manipulation, • Synthetic data generation for robot learning, • Vision Language Model Fine-Tuning (SFT and RL-based), • Competitive compensation package, • Comprehensive health and retirement plan benefits, • A front-row seat at one of the world’s most ambitious robotics companies, • An energetic, collaborative team with a relentless bias for action, • The opportunity to build something no one has ever done in this field - alongside the world’s leading researchers

A leading API platform provider is seeking an Applied AI Scientist in San Francisco to lead research on small language models.This role involves advancing training techniques and collaborating with teams to enhance AI safety and impact.Ideal candidates should have experience in applied research and

A cutting-edge research organization in San Francisco is seeking a scientifically grounded individual to develop benchmarks and training datasets for AI systems in biology. Responsibilities include designing scientific benchmarks, curating datasets, and analyzing model outputs to drive improvements.

We are looking for a talented, organized, and customer-focused applied researcher to join our Pricing Optimization science group, with a charter to measure, refine, and launch customer‑obsessed improvements to our algorithmic pricing and promotion models across all products listed on Amazon. See t

A leading engineering firm in San Francisco is seeking a mid-level Civil/Environmental Engineer, Geologist, or Environmental Scientist.

A non-profit health organization is seeking a Research Associate IV focused on advanced health services research. This remote full-time position involves analyzing health data related to sickle cell disease and environmental health. Ideal candidates should have a Bachelor's degree in a related field

A nationwide environmental services company is seeking a Senior Geologist/Senior Environmental Scientist/Senior Engineer with over 10 years of experience in the environmental field.

HETI has a great opportunity for a Senior Geologist/Senior Environmental Scientist/Senior Engineer with 10+ years’ experience in the environmental field. Collaborate with project teams, including environmental engineers, geologists, and technicians.

A nationwide environmental services company is seeking a Senior Geologist/Senior Environmental Scientist/Senior Engineer to lead environmental projects remotely.

Job DescriptionOur client, a world leader in biotechnology and life sciences, is looking for a “Senior Data Scientist" based out in South San Francisco, CA. Job Duration: Long Term Contract (Possibility Of Extension & FT Conversion) Rate: $75-$78/hr on W2 (DOE) Company Benefits: Medical, Dental, Vision, Paid Sick leave, 401K Job Summary This role is to support high-impact AI/ML initiatives within a regulated environment and will focus on advancing targeting models and delivering scalable, production-ready solutions that drive business outcomes. The ideal candidate brings strong technical depth, hands-on model development experience, and the ability to operate independently while collaborating across cross-functional teams. Key Responsibilities Model Development & Optimization • Lead the design, development, and optimization of machine learning models to improve targeting accuracy and business performance, • Design and build scalable feature pipelines, transforming raw and complex datasets into high-quality model inputs, • Transition analytical models and scripts into robust, production-ready pipelines, • Ensure code quality, documentation, and adherence to engineering and data science best practices, • Partner with data science, analytics, and business teams to translate business problems into technical solutions, • Communicate model methodologies, assumptions, and results clearly to non-technical stakeholders Qualifications Required • Master’s or PhD in Data Science, Computer Science, Statistics, or a related field, • Minimum 5+ years of hands-on experience in data science and machine learning model development, • Proven track record of taking models from ideation through production deployment, • Strong proficiency in Python, SQL, and AWS, • Deep expertise in Machine Learning and/or Deep Learning techniques, • Experience within healthcare, pharmaceutical, or other highly regulated industries, • Hands-on experience with claims data or similarly complex, regulated datasets, • Strong understanding of data privacy, compliance, and governance requirements, • Experience with MLOps practices, including pipeline automation, deployment, and monitoring If interested, please send us your updated resume at / .

Job DescriptionScientist I Location: South San Francisco, CAPosition: Full-Time BreezeBio is a rapidly-growing, early-stage company that is developing a proprietary and novel delivery platform with the potential to transform genetic medicine. Our interdisciplinary team works together across chemistry, payload design, formulation, and screening and preclinical groups to develop the next generation of gene therapies. BreezeBio fosters an exciting and dynamic environment where we value impactful data and creative solutions to accelerate our progression from a platform technology to a pipeline of therapeutic candidates. We are seeking talented and motivated individuals to join our team and are expanding across all functions within the organization. Join us in Brisbane, CA, to be at the forefront of the future of gene therapy. Position Summary We are seeking a talented and motivated Scientist to join our Immunology team and drive the development of genetic medicines for immune-based diseases utilizing our hydrophilic nanoparticle (HNP) technology. This individual will report to the Program Lead and will be responsible for assisting with planning and executing short and long-term R&D strategy for the Immune Program. She/he will be a key contributor to project and study design, method development, program strategy, and HNP and payload screening to identify lead therapeutic candidates that meet strict in vitro and in vivo target criteria for tissue and cell-specific delivery of nucleic acid payloads to achieve the desired immune modulating activity. The ideal individual will have a strong background in cellular immunology, immune modulation and tolerance, vaccines, gene therapy, and rodent models of immune-based diseases. Individuals with industry experience as a key individual contributor on project teams and a successful track record of completed projects on time and teamwork are preferred. Position title will be commensurate with scope of responsibilities and years of relevant experience. Key Responsibilities · Lab: Conceptualize and execute complex in vitro and in vivo immunology studies including study design, method development, independent data analysis, and technical problem solving. (75% bench work)· Scientific leadership: Assist in goal setting and strategy, project and study planning, resource management, mentorship of junior staff, and hands-on study execution to ensure timely achievement of corporate milestones and goals. Function internally as a key opinion leader in matters related to immunology and tolerance.· Supervisor: May manage Research Associate(s) depending on experience including: workflow organization, goal setting, assigning objectives, mentoring, performance evaluation, skills and career development.· Collaboration and communication: Work cooperatively with peers and multidisciplinary teams in a highly matrixed lab environment, keep detailed and organized lab records, and present results at team, internal company, and external alliance meetings. Qualifications Education:· Ph.D or equivalent in Immunology or a related life science field.· 1-2 years of biotech/pharma experience. Applicants with relevant postdoctoral experience in immune tolerance and autoimmune diseases will be considered.· Broad and deep knowledge in immune response regulation and modulation at the cellular and molecular level.· Direct experience in development, troubleshooting, and execution of in vitro immune based assays including primary immune cell culture and differentiation, immune cell phenotyping, and functional assays (e.g., flow cytometry, ELIspot, cytotoxic T cell assays, APC/T cell co-culture) is required.· Deep understanding of the antigen presentation process, Treg, DC and/or macrophage biology, and immune modulation. Knowledge of tolerance, vaccine development and gene therapy/delivery a plus.· Work authorization in the US is required. Extensive Technical Skillso Primary immune cell culture of DC, monocyte, macrophage, and T cells including in vitro and ex vivo functional assays.o Design and execution of in vivo studies to evaluate therapeutic drug candidates for safety and efficacy in mouse models of autoimmune and inflammatory diseaseso Proficiency with comprehensive immune cell phenotyping by multicolor (12+) flow cytometry (Cytek Northern Lights, BD cytometers, CytoFlex), ICC (Cytation), cytokine analyses (CBA, MSD), ELISA, ELISpot, and ICS, and related assays.o In vitro and in vivo screening of drug candidates, microplate cell assays, protein expression, cytotoxicity, fluorescent cell and tissue imaging, luminescence, BLI (IVIS), quantitative microscopy and image analysis.o Preferred experience with molecular biology techniques including characterization of nucleic acid and protein therapeutic payloads. Abilities and Attributes· A highly professional, enthusiastic, self-starting and goal-focused scientist.· Intellectually agile, curious, and able to thrive in a fast-paced, dynamic environment.· Excels at technical innovation and creative problem solving, prevention and solution.· Open-minded, cooperative, and capable of adapting quickly.· Experience working collaboratively across functional groups and with external partners.· Personable, sociable, and eager to help build BreezeBio's culture and future. At BreeezeBio we are always looking to hire the absolute best talent and recognize that diversity in our experiences and backgrounds is what makes us stronger. We hire candidates of any race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, veteran status, and any other status. These differences are what enable us to work towards the future we envision for ourselves, and the world. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Alumis Inc. is a precision medicines company with the mission to transform the lives of patients with autoimmune diseases. Even with treatment innovations of the last two decades, many patients with immunologic conditions continue to suffer - our goal is to fundamentally change the outcomes for these patients. We are seeking an experienced and highly motivated Senior Scientist for the Drug Product Development group who can work in a collaborative and dynamic environment. The scientist in this role is responsible for activities critical to the development of Alumis' molecules including generation of pre-formulation packages, formulation selection, and manufacturing process development. This primary focus of this role will currently be on solid oral dosage form development but may involve the development of other dosage forms in the future. Responsibilities • Hands-on pre-clinical formulation development includes identifying vehicles, excipients, and/or new technologies for poorly water-soluble compounds in support of preclinical PKPD, efficacy, and tox studies., • Execute and/or oversee pre-formulation activities including characterization of physicochemical and solid-state properties for investigational small molecules with hands-on instrumental analysis (HPLC/UPLC, DSC, XRPD) and method development., • Work effectively with external CDMOs to develop early-stage drug products and oversee production of clinical trial material in support of clinical timelines., • Experience in formulation development, process optimization for small molecule solid oral dosage forms including modified-release products includes execute/oversee formulation and manufacturing process development activities., • Excellent oral and writing communication skills and flexibility to work in a fast-paced team environment by providing updates (oral and written) clearly and concisely., • Support relevant CMC sections for key regulatory filings including INDs and NDAs. Experience in authoring technical reports and regulatory documents (e.g. IND/NDA) is a plus., • Comfortable in a fast-paced small company environment. Proactively identify project risks and prepare mitigation and contingency plans. Ph.D. degree in Pharmaceutical Sciences, Chemistry, Engineering or related field with a minimum of 8 years or B.S. or M.S. with a minimum of 10+ years related industrial experience. Alumis Values • Elevate, • Challenge The salary range for this position is $139,000 USD to $169,000 US annually. This salary range is an estimate, and the actual salary may vary based on the Company's compensation practices. Alumis Inc. is an equal opportunity employer.

Job Description We are launching a new venture dedicated to eliminating toxic chemicals from our food supply and the environment. Our primary mission is to eliminate Bisphenol A (BPA) – a pervasive endocrine disruptor linked to the reproductive health crisis. You’ll work closely with the DSV team and the current Founder in Residence to co-found and spin-out a new company. Once the new venture is incorporated with pre-seed investment from DSV and the Grantham Foundation, you and your co-founder will own the majority stake in the business, and continue receiving hands-on support from the DSV+Grantham team post-spinout. THE OPPORTUNITY Despite its known toxicity, 10 million tons of BPA are produced annually for use in everything from food packaging to high-performance composites. We are disrupting this status quo by replacing BPA-based adhesives and coatings with our proprietary, biobased, high-performance, ensuring safety without compromising product performance. Safe food and a clean environment should not be a luxury. We are recruiting a Co-Founder with a strong commercial background - ideally in food contact packaging coatings and adhesives - and a track record in entrepreneurship, including fundraising. The interior coatings of food and beverage cans have been identified as a major route of human exposure to bisphenols and will be our primary focus. Experience in food and beverage cans is preferred. The role is full-time, remote initially until venture incorporation and spin-out (circa end of Q2 2026), location TBD. ABOUT THE FOUNDER-IN-RESIDENCE Dr. Robert Fleming is a distinguished scientist and serial entrepreneur dedicated to the intersection of advanced materials and global sustainability. With a career spanning foundational roles at 3M Corporation to executive leadership at Zymergen and CLEARink Displays, Robert has spent over two decades developing and scaling new products and technologies to high-volume. Since 2020, Robert has pivoted his focus toward the circular economy, championing biobased chemistries that replace toxic legacy materials. At DSV, he is leading a critical mission to eliminate harmful chemicals from food-contact materials. A prolific inventor with over 60 issued U.S. patents, Robert holds a PhD in Polymer Science from the University of Massachusetts and continues to advise high-growth startups in the optics, nanoscience, and polymer sectors. ABOUT DSV Deep Science Ventures (DSV) is on a mission to create a future in which both humans and the planet can thrive. We use our unique venture creation process to create, spin-out, and invest in science companies, combining available scientific knowledge and founder-type scientists into high-impact ventures. Operating in four sectors—Pharmaceuticals, Climate, Agriculture, and Computation—we tackle the challenges defining these areas by taking a first principles approach and partnering with leading institutions. OUR PARTNERSHIP WITH THE GRANTHAM FOUNDATION To learn more about the collaborative work that led to this opportunity area, please see report - "The Invisible Tsunami". Requirements The Role: This is a deeply hands-on role: as Commercial Co-Founder, you will own the venture’s commercial strategy and execution from day one. Working hand-in-hand with the technical founder, you will: • Validate market demand and define target segments;, • Build early customer, supplier, and strategic partnerships;, • Secure commercial proof points (LOIs, MOUs, offtake pathways);, • Support or lead fundraising from VCs. Must-Have Experience: • Previous experience in either a startup/early-stage company environment or leading commercial scale-up in a relevant industrial setting (or both);, • Experience in adhesives, coatings markets and food packaging is a strong plus;, • A track record in fundraising from VC, grant writing, grant management and building commercial partnerships;, • Exposure to regulatory processes for industrial chemicals/materials (ideally battery-related). Essential Capabilities: • Lead customer discovery to identify and prioritise target markets, building relationships from initial outreach through to binding offtake agreements, and refining value proposition based on market feedback;, • Co-develop and maintain techno-economic models, pricing strategy, financial models, and lead commercial negotiations and contract structuring;, • Lead fundraising efforts with commercial due diligence materials, building investor relationships and communicating commercial progress;, • Demonstrated B2B and B2C sales and business development experience, ideally in materials, chemicals or related industrial sectors, with a track record from cold outreach to signed agreements;, • Willingness to operate across strategic and administrative tasks with resilience, strong self-direction and ability to thrive in uncertain environments;, • Excellent communication skills with the ability to build credibility across diverse stakeholders, present to senior executives and investors, and work collaboratively with a technical co-founder;, • We provide optimised, purpose-built, proprietary tools, resources and processes to help create high-impact ventures from scratch, using our venture creation methodology., • DSV and Grantham Foundation's extensive network incl. leaders of biotech VCs, technical & commercial domain expertise, and wide-ranging portfolio company capabilities., • We jointly provide an initial £250k (~$340k / €290k) investment governed by our Investment Committee to incorporate the new venture and develop early proof-of-concept data that is often needed to attract high profile non-venture studio VCs. This funding is also key for obtaining grant funding, which often needs to be matched with private investment., • You and your co-founder(s) together will own the majority equity stake in the company., • We provide minimum guaranteed income of £4,166 per month (fixed), paid to each Founder as a consultancy fee until the company is launched and pre-seed investment is secured., • We provide continuous support post spin-out, including fundraising, commercial partnerships, recruitment and team-building (amongst other things)., • Other Founders currently at DSV across sectors working collaboratively and supporting one another - a unique resource to draw on.

Job Description Alumis Inc. is a precision medicines company with the mission to transform the lives of patients with autoimmune diseases. Even with treatment innovations of the last two decades, many patients with immunologic conditions continue to suffer - our goal is to fundamentally change the outcomes for these patients. The small molecule CMC team is seeking highly motivated Sr. Scientist I of Analytical Development to help build our dynamic small molecule CMC group at Alumis. The successful candidate will help to support the analytical development and quality control activities from the preclinical phase through late-stage clinical development. Having analytical development expertise and experience in working with CMOs/CTLs, coupled with thorough understanding of the associated quality and regulatory awareness are key assets. RESPONSIBILITIES • Support development, validation, and transfer of analytical methods to support starting material, intermediate, drug substance and drug product testing at CMOs/CTLs, • Execute and/or support the in-house method development activities using UPLC/HPLC, LC-MS, KF, and dissolution instrumentation and techniques for Phase 1 to late-stage drug development, • Review CMO/CTL analytical data (in-process, release, and stability data), protocols and reports, • Trend stability and release data using statistical methods, • Assist in investigation for various non-conformance events at CMOs/CTLs, • Collaborate with CMC team, QA and CMOs/CTLs towards timely generation and approval of documents, • Communicate scientific results (oral and written) in a clear and concise manner within cross-functional teams, • Author technical reports and documents in support of regulatory filing, • BS/MS in chemistry or pharmaceutical sciences with 5+ years of experience in analytical development, • Experience with analytical techniques for small drug molecules and oral solid formulations required, including UPLC/HPLC, LC-MS, KF, dissolution testing, IR, particle size analysis, and solid-state characterization techniques, • Proven track record in applying analytical techniques to solve challenging problems, • Experience in working with CMOs and CTLs, • Experience in early to late-stage drug development, • Strong organizational and communication skills, • Comfortable in a fast-paced small company environment and a strong team player The salary range for this position is $112,000 USD to $135,000 USD annually. This salary range is an estimate, and the actual salary may vary based on the Company's compensation practices. Alumis Inc. is an equal opportunity employer. Alumis compensation packages include generous stock option grants for all employees as well as an annual bonus program. Other benefits include: • Health insurance premiums paid at 90% for employee, 80% for dependents, • Free access to Genentech Bus & Ferry Share program, • $100 monthly cell phone stipend, • Unlimited PTO for Exempt employees

Job DescriptionAbout GridwareGridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware’s advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit . Role Description:As a Senior Data Scientist, you will be directly embedded into Gridware’s operations and analytics team and play a critical role in helping forecast weather based events, staffing of analysts, and gain a deeper understanding of how dynamic Gridware’s operations center can be. Responsibilities • Build and productionize forecasting models to predict weather-driven grid events, hazard incidence, and downstream operational workload., • Develop demand forecasts for analyst staffing, incorporating weather signals, seasonality, geographic deployment footprint, and historical event patterns., • Quantify relationships between environmental factors (e.g., wind, precipitation, temperature, vegetation conditions) and hazard/event types across service territories., • Design end-to-end modeling pipelines, including data ingestion, feature engineering, model validation, deployment, and monitoring., • Establish model performance tracking, drift detection, and retraining strategies to ensure reliability in dynamic conditions., • Translate model outputs and uncertainty into clear, actionable recommendations for operational leadership.Required Qualifications, • 5+ years of experience building and deploying models into production environments, • Experience with forecasting models, • Strong programming skills with demonstrated proficiency in Python and SQL, • Experience working within modern software stacks, including cloud platforms, containerization, and CI/CD workflows, • Experience working cross-functionally with operations or business stakeholdersBonus Qualifications, • Experience working with weather data

Job Description Location: San Francisco, CA (Hybrid) What is Verse? Energy markets are more volatile than ever. Rapid electrification and the rise of AI are driving unprecedented demand for power, while energy costs continue to rise across the globe. For the world's largest energy buyers, managing energy has never been more complex or more critical. Verse helps these organizations manage complex power portfolios with confidence by unifying energy data, planning, forecasting, and operations in one tool. Our Energy Cost Intelligence platform, Aria, brings together energy, finance, and operations teams with real-time, finance-ready intelligence—replacing spreadsheets and consultants with precision across the entire energy lifecycle. Built by an expert team of energy buyers, data scientists, and engineers, Verse enables faster, smarter energy decisions that reduce risk and lower energy costs. The Role Verse is seeking a Data Scientist to join our Data Science Team. In this role, you will lead the development and deployment of advanced data-driven solutions across a range of applications, including electricity markets, renewable procurement, and energy risk management. You will shape the machine learning and data modeling foundations that Verse's software is built on. For example, you might spend a cycle deploying electricity market price forecasting pipelines for new regions, developing solar production anomaly detection models, or creating scalable tools for benchmarking energy project financial performance. Key Responsibilities • Lead End-to-End Data Science Projects: Own and drive projects from problem definition through scoping, modeling, validation, and production deployment. Translate business problems into scalable, high-impact modeling solutions., • Statistical & Machine Learning Modeling: Design, develop, and refine statistical and machine learning models (e.g., time series forecasting, probabilistic models) to support decision-making and enhance product capabilities., • Analytics Engineering & Data Modeling: Perform complex data transformations and develop well-structured data models. Translate business and analytical requirements into scalable, tested, and well-documented datasets., • Software Development & Productionization: Write clean, efficient, and maintainable Python code. Contribute to integrating models into production systems in a cloud-based environment while leveraging AI coding tools to accelerate development., • MLOps: Contribute to Verse's machine learning modeling infrastructure to support scaling of ML models and improving reliability, monitoring, and performance in production., • Master's degree in Computer Science, Statistics, Engineering, Applied Mathematics, or a related quantitative field and 2+ years of professional experience in data science or machine learning; or, • Bachelor's degree and 4+ years of professional experience in data science or machine learning, • Strong foundation in statistical modeling and machine learning, including time series forecasting and model evaluation, • Experience deploying and maintaining models in cloud-based environments (e.g., AWS, GCP, or Azure) using MLOps practices, • Strong Python expertise, including experience with scientific computing and ML libraries (e.g., NumPy, pandas, scikit-learn, PyTorch, TensorFlow), • Hands-on experience in orchestrating complex data transformations (e.g. Airflow, Dagster, dbt), • Strong software engineering practices (version control, testing, code reviews, CI/CD), • Experience in energy, climate tech, or related domains (not required), • Familiarity with optimization methods or operations research, • Experience developing probabilistic forecasting models and quantifying uncertainty, • Lead with Empathy: We lift each other up with humility and kindness, always putting colleagues and customers first, • Be Honest & Transparent: We prioritize effective communication to build trust with our team, customers, and stakeholders, • Move with Balance & Precision: We believe speed and perseverance must be accompanied by thoughtfulness and reflection $146,000 - $172,000 This is the estimated base salary range for this position, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs. Benefits and Employee Perks • Competitive compensation and equity grant at a high-growth start up, • Comprehensive benefits package including medical, dental and vision insurance, and 401k, • Flexible hours and unlimited PTO

A leading transcription service provider in San Francisco is looking for a highly skilled Computer Scientist to enhance the performance of Large Language Models (LLMs), focusing on Retrieval Augmented Generation (RAG) models and optimization techniques.

A leading AI research lab is seeking a part-time Data Scientist specializing in AI task evaluation and statistical analysis. You will conduct analysis on AI agent performance in finance, transforming data into actionable insights.

Technical Sales Specialist / Field Application Scientist – Cellular Immunotherapy & Gene Editing. Ready to introduce cutting-edge cellular immunotherapy and gene-editing solutions to New England’s premier research labs? Are you passionate about translating advanced CRISPR and CAR‑T workflows i

A leading technology firm in San Francisco is looking for a Senior Data Scientist to join their ML Business Modeling team. The ideal candidate will have a Bachelor's degree with 5+ years or a Master's with 3+ years of relevant experience and expertise in predictive modeling and data science. Respons

Job Description About Nosis Bio: Nosis Bio is a well-funded biotech startup exclusively focused on cell-specific delivery of RNA therapeutics. We are an all-scientist team of biologists, chemists, and machine learning experts that believe targeted extrahepatic delivery is the only thing preventing RNA therapies from becoming the standard-of-care for most chronic diseases. We combine deep expertise in receptor biology, generative AI, and high throughput in vivo data generation to exponentially accelerate the development of RNA therapeutics for new tissues. We are addressing a major unmet need across the industry and actively partner with pharmaceutical companies, research institutions, and biotech. About the Role: We are seeking a Technical Specialist / Research Associate to conduct in-vivo experiments to evaluate the pharmacokinetics (PK) and pharmacodynamics (PD) properties of therapeutic candidates. The successful candidate will have hands-on experience with in-vivo animal studies and will work closely with multidisciplinary teams to support various drug discovery projects. Responsibilities * Perform in-vivo PK/PD studies in animal models, including intravenous (IV) and subcutaneous dose administration, blood sampling, tissue collection, and necropsy * Ensure proper animal handling and dosing techniques, following established protocols and ethical guidelines. * Assist in the execution of in-vivo studies to support the evaluation of drug properties * Collect, organize, and document experimental data accurately and maintain laboratory records in compliance with company protocols and regulatory standards. * Collaborate with cross-functional teams, including biology, chemistry, and translational science, to support project goals and timelines. * Ensure compliance with all animal care and use guidelines, and follow company SOPs and safety protocols. What we’re looking for: * Ability to work on site in our lab spaces located in the California Bay Area – Research park at Marina Village (Alameda, CA) * Motivated and proactive with strong problem-solving skills. * Team-oriented and open to collaboration across scientific disciplines. * Title and track is dependent on academic and professional experience – we recruit diverse backgrounds including those with academic, non-profit, and industry experiences! * General Requirement: AS or BS degree with 3+ yrs in vivo experience (industry or academia) and 1+ yrs industry (or similar) experience * Ideal Qualifications: ALAT or equivalent certification

Job DescriptionAbout Nimble Nimble is an AI robotics company building the autonomous supply chain to power fast, efficient and economical commerce. We're training robot AGI to power a proprietary generalist supply chain superhumanoid, the first robot in the world capable of performing thousands of tasks across the supply chain. We've raised over $220M at over $1B valuation and formed a strategic alliance with FedEx to build a national network of autonomous warehouses capable of generating many billions in annual revenue. We are a hardcore and obsessed team of the world's best engineers and operators. If you are obsessed with your craft, enjoy a high-intensity and fast moving high impact environment, are super high agency in getting hard things done and want to be part of building the world's most legendary robotics company at the most pivotal moment in history, we want to work with you. We are on a mission to empower and inspire mankind to accomplish legendary feats by inventing robots that liberate us from the menial. We will accomplish this by training robot AGI to invent and build the Autonomous Supply Chain – everything from the inside of factories and warehouses to your front door – powered by generalist superhumanoids. Our founding team comes from the AI labs at Stanford and Carnegie Mellon and our board of directors include famed robotics and AI legends including Fei-Fei Li (Chief Scientist of AI at Google and Director of Stanford's AI Lab), Marc Raibert (founder of Boston Dynamics), and Sebastian Thrun (founder of GoogleX, Waymo; Stanford Professor and considered the father of autonomous vehicles). Let's be legendary. Link: Nimble Closes $106 Million Series C Funding Round, Scales Fully Autonomous Fulfillment with FedEx Link: FedEx Announces Expansion of FedEx Fulfillment With Nimble AllianceWhy Join Nimble?At Nimble, we are committed to building legendary products, a legendary team, and a legendary legacy. Join us and become part of an ambitious, humble, and resourceful culture where your work will leave a lasting impact on the future of robotics and commerce.Nimble's Core Values:Be relentlessly resourceful - Challenge conventions and overcome obstacles.Be legendary - Be the very best and do work that inspires.Be humble - Prioritize growth, learning, and doing whatever is needed to further the mission.Be dependable - Take ownership and deliver with high agency. Role Summary We are seeking a Senior Systems Integration Engineer to lead the technical realization of our next-generation robotic hardware. This is a high-stakes role focused on the integration, validation, and performance of robots in a fully automated warehouse environment, where you will sit at the intersection of Mechanical Engineering, Software, Computer Vision, and Operations. You will be responsible for ensuring our robots don't just work, but perform at a superhuman level, optimizing throughput, perfecting grasp performance, and leading high-profile demonstrations. Key Responsibilities • Involve deeply in the full product life cycle, including product definition, testing, and deployment of the next-generation hardware, with a specialized focus on the rapid deployment of robotic arm features., • Own and execute the robot arm picking performance roadmap. You will utilize metrics to pinpoint mechanical or software bottlenecks and implement aggressive optimizations to improve throughput., • Collaborate with robotics software and computer vision teams to define and roadmap cutting-edge features to maximize operational efficiency and improve robotic grasp-ability robustness and reliability., • Serve as the primary technical lead for robotic warehouse demonstrations and pilot programs, including the high-stake demos for potential customers, investors, and key stakeholders., • Conduct deep-dive technical investigations into performance regressions and lead hypothesis validation/testing for complex edge cases.Qualifications, • BS or MS in Mechanical Engineering, Electrical Engineering, Robotics, or a related technical field., • 5+ years of experience in robotics systems integration, hardware validation, or mechatronics., • Proven expertise in optimizing performance metrics and managing the interplay between robotic systems and control software., • A track record of leading "end-to-end" projects, from initial validation in a lab setting to successful deployment in a high-volume production environment., • Exceptional analytical skills; ability to use data to drive mechanical and software engineering changes.

Job Description About Nudge At Nudge, our mission is to develop the best technology for interfacing with the brain to improve people's lives. We're starting with an approach that we believe can help the most people the fastest, and also allow us to learn as much about the brain as possible: developing a non-invasive, ultrasound-based device that can stimulate and image the brain at high resolution and depth. This is a vertically integrated effort building cutting-edge hardware, software, and research capabilities to create products that can benefit millions — and eventually billions — of people. To succeed, we need to assemble world-class teams across everything we do. We hire people who are exceptional at their craft, believe hard things are worth doing, and execute relentlessly — people who expect the highest levels of both rigor and integrity from each other. About the role As a research scientist focused on ultrasound imaging at Nudge, you will: * Develop algorithms for structural and functional ultrasound-based imaging of the brain * Contribute to the design of custom hardware optimized for imaging * Perform validation of in-silico ultrasound imaging methods with custom hardware in physical models and in vivo in both rodents and humans * Develop aberration correction techniques informed by ultrasound-based imaging About you We are looking for research scientists of all levels, regardless of your career level, you should have: * PhD or postdoc in physics, bioengineering, medical imaging, or similar engineering discipline * Expertise in ultrasound physics and metrology * Exceptional proficiency in full-waveform inversion imaging, functional transcranial doppler imaging, or functional ultrasound imaging * Machine learning experience is preferred * Demonstrated history of exceptional technical contribution * High integrity and strong professional judgement

Job Description Our 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. At our firm, we believe the most impactful safety research will require access to frontier AI systems. The most powerful AIs will operate not just on text but also other modes of data, including images, video and audio. Such models have potential to augment human creativity and productivity in exciting ways. However, we are very concerned about the risks introduced by powerful multimodal AIs. The Multimodal team builds and studies multimodal models to better understand and mitigate these risks. Our team works across many parts of a large stack that includes training, inference, system design and data collection. Some of our core focus areas are: Foundational Research We develop new architectures for modeling multimodal data and study how they interact with text-only models at scale. Building Infrastructure We work on many infrastructure projects including: • Complex multimodal reinforcement learning environments., • High-performance RPC servers for processing image inputs., • Sandboxing infrastructure for securely collecting data. Data Ingestion We are more interested in running simple experiments at large scale than smaller complex experiments. This requires access to very large sources of multimodal data. We develop tooling to collect, process and clean multimodal data at scale. Because we focus on so many areas, the team is looking to work with both experienced engineers and strong researchers, and encourage anyone along the researcher/engineer curve to apply. You may be a good fit if you: • Have significant software engineering experience, • Are results-oriented, with a bias towards flexibility and impact, • Pick up slack, even if it goes outside your job description, • Enjoy pair programming (we love to pair!), • Want to learn more about machine learning research, • Care about the societal impacts of your work Strong candidates may also have experience with: • High performance, large-scale ML systems, • GPUs, Kubernetes, PyTorch, or OS internals, • Language modeling with transformers, • Reinforcement learning, • Large-scale ETL The expected salary range for this position is: Annual Salary: $230,000—$400,000 USD Logistics 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. Compensation and Benefits* Our compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates. Equity - For eligible roles, equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance. US Benefits - The following benefits are for our US-based employees: • Optional equity donation matching., • Comprehensive health, dental, and vision insurance for you and all your dependents., • 401(k) plan with 4% matching., • 22 weeks of paid parental leave., • Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!, • Stipends for education, home office improvements, commuting, and wellness., • Fertility benefits via Carrot., • Daily lunches and snacks in our office., • Relocation support for those moving to the Bay Area., • This compensation and benefits information is based on our good faith estimate for this position as of the date of publication and may be modified in the future. Employees based outside of the US will receive a different benefits package. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial. How we're different We believe that the highest-impact AI research will be big science. At our firm, 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 joining our firm, 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! We are 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.