Data Scientist, Level 4 Snap IncData Scientist, Level 4Palo Alto, CA$157,000–$235,000 / yearThe Company operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services. 3+ years of post-Bachelor's experience in quantitative analysis and data science; or a Master's degree in a technical field + 2+ years of post-graduate professional experience in quantitative analysis and data science; OR a Ph.
Principal Translational Scientist & Team Leader, Oncology Biomarkers & Translational Research Genentech IncPrincipal Translational Scientist & Team Leader, Oncology Biomarkers & Translational ResearchSouth San Francisco, CA$141,500–$262,900 / yearThe successful candidate will play a key role in translating biological questions into fit-for-purpose data generation strategies and partnering across disciplines to transform complex multimodal datasets into insights that influence biomarker strategies, patient stratification, and future therapeutic development. Postdoctoral training and 3+ years of relevant industry or academic experience in translational oncology research, or 7+ years of relevant experience in industry or academia, with a proven track record of successfully leading complex translational research programs.
AI Scientist/Senior, Clinical & Molecular Genomics Modeling, BRAID Genentech IncAI Scientist/Senior, Clinical & Molecular Genomics Modeling, BRAIDSouth San Francisco, CA$127,500–$236,900 / yearThe new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness the transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide. Connect Molecular and Clinical Data: Create models that link heterogeneous molecular and cellular data with clinical outcomes, specifically focusing on prognostic, predictive, and pharmacodynamic biomarkers.
Scientist II, Arrayed Screening InsitroScientist II, Arrayed ScreeningSouth San Francisco, CA$136,000–$145,000 / yearThe ideal candidate brings deep hands-on experience in cell-based assay development, high-throughput screening, mammalian cell culture, and quantitative data analysis, and is excited to generate robust biological data that can power ML-driven drug discovery. You will work closely with biologists, bioengineers, automation scientists, data scientists, machine learning scientists, and drug discovery teams to design and run scalable cell-based and biochemical assays across therapeutic programs.
Senior Director / Vice President, Clinical Operations InsitroSenior Director / Vice President, Clinical OperationsSouth San Francisco, CA$259,000–$312,000 / yearThis role will partner with Discovery, Translational Medicine, Technical Operations, Clinical, Regulatory, External R&D, Biostatistics and Procurement teams to directly improve patients' lives by leading clinical trial operations across neurological, ophthalmological and metabolic indications, advancing innovative medicines and diagnostics in a patient-focused way. We work hard to bring together diverse teams-grounded in a wide range of expertise and life experiences-and work even harder to ensure those teams thrive in inclusive, growth-oriented environments supported by equitable company and team practices.
AI Data Scientist-Furman Lab Buck InstituteAI Data Scientist-Furman LabNovato, CA$60,000–$75,000 / yearThe successful candidate will contribute to multiple government-funded and institutional research initiatives, including a recently launched, government-funded project focused on using large-scale human data to better understand biological aging, resilience, healthspan, and age-related disease risk. Globally recognized as a pioneer and leader in efforts to target aging - the number one risk factor for diseases including Alzheimer's disease, Parkinson's disease, cancer, macular degeneration, heart disease, and diabetes - the Buck seeks to help people live better longer.
AI Data Scientist-Furman lab Buck InstituteAI Data Scientist-Furman labNovato, CA$60,000–$75,000 / yearThe successful candidate will contribute to multiple government-funded and institutional research initiatives, including a recently launched, government-funded project focused on using large-scale human data to better understand biological aging, resilience, healthspan, and age-related disease risk. 2. Apply LLMs, agentic AI, and modern machine learning approaches to biomedical research Responsibilities may include: Building workflows using large language models, retrieval-augmented generation, vector databases, tool-calling agents, and automated reasoning systems.
Senior/Principal Machine Learning Scientist, Perturbation Biology, AI Biology & Translation (AIBT) Genentech IncSenior/Principal Machine Learning Scientist, Perturbation Biology, AI Biology & Translation (AIBT)South San Francisco, CA$147,800–$274,400 / yearThe new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide. We are seeking a highly motivated and collaborative Senior/Principal Machine Learning Scientist to join the Perturbation Biology group in the Department of AI for Biology & Translation (AIBT) in Genentech Research and Early Development (gRED).
Senior/Principal Machine Learning Scientist, Structure and Simulation (AI for Drug Discovery) Genentech IncSenior/Principal Machine Learning Scientist, Structure and Simulation (AI for Drug Discovery)South San Francisco, CA$147,800–$274,400 / yearIn this role, you will: As a Senior Scientist: • Develop novel machine learning methods to answer challenging research questions in large molecule drug discovery • Work with biological and chemical data from heterogeneous sources • Contribute to an initiative to consolidate projects in machine learning theory into a single coherent model for lab-in-the-loop drug discovery. As a Principal Scientist: • Develop novel machine learning methods to answer challenging research questions in large molecule drug discovery • Work with biological and chemical data from heterogeneous sources • Lead an initiative to consolidate projects in machine learning theory into a single coherent model for lab-in-the-loop drug discovery.
Senior Director / Vice President, Clinical Operations Insitro IncSenior Director / Vice President, Clinical OperationsSouth San Francisco, CA$259,000–$312,000 / yearThis role will partner with Discovery, Translational Medicine, Technical Operations, Clinical, Regulatory, External R&D, Biostatistics and Procurement teams to directly improve patients lives by leading clinical trial operations across neurological, ophthalmological and metabolic indications, advancing innovative medicines and diagnostics in a patient-focused way. We work hard to bring together diverse teams-grounded in a wide range of expertise and life experiences-and work even harder to ensure those teams thrive in inclusive, growth-oriented environments supported by equitable company and team practices.
Scientist II, Arrayed Screening Insitro IncScientist II, Arrayed ScreeningSouth San Francisco, CA$136,000–$145,000 / yearThe ideal candidate brings deep hands-on experience in cell-based assay development, high-throughput screening, mammalian cell culture, and quantitative data analysis, and is excited to generate robust biological data that can power ML-driven drug discovery. You will work closely with biologists, bioengineers, automation scientists, data scientists, machine learning scientists, and drug discovery teams to design and run scalable cell-based and biochemical assays across therapeutic programs.
NewSupervisory Clinical Laboratory Scientist US Department of Health and Human ServicesSupervisory Clinical Laboratory ScientistSan Francisco, CA$123,870–$161,034 / yearQualifying course work in these areas includes bacteriology, mycology, mycobacteriology, tissue culture, virology, parasitology, endocrinology, enzymology, toxicology, urinalysis, coagulation, hemostasis, cell morphology, immunology, serology, immunoserology, immuno-deficiency, hemolysis, histocompatibility, cytotechnology, and similar disciplines or areas of laboratory practice. A Bachelors or graduate/higher level degree from an accredited college/university, including 16 semester hours (24 quarter hours) of biological science (with one semester in microbiology), 16 semester hours (24 quarter hours) of chemistry (with one semester in organic or biochemistry), one semester (one quarter) of mathematics, AND five years of full time acceptable clinical laboratory experience in Blood Banking, Chemistry, Hematology, microbiology, Immunology and Urinalysis/Body Fluids.
Scientist 3 - Translational Medicine (Ophthalmology- Glaucoma) Genentech IncScientist 3 - Translational Medicine (Ophthalmology- Glaucoma)South San Francisco, CA$100,400–$186,400 / yearAs an integral member of our dynamic team, you will: Analyze high-dimensional datasets (e.g., proteomics, transcriptomics) generated from clinical and preclinical samples to discover novel candidate biomarkers and targets. Scientists within our department champion end-to-end biomarker execution, from initial discovery and assay design to data interpretation, while leveraging clinical insights to drive next-generation target discovery.
Data Scientist Cloudflare IncData ScientistSan Francisco, CAWe design and operate large-scale data systems, own the company's data lake, ingestion infrastructure, and platform tooling, and develop end-to-end applications that transform complex datasets into fast, reliable, business-critical products used daily by go-to-market, product, and engineering teams. You will focus on building scalable, reliable AI/ML models, services and GenAI powered application backends, partnering closely with data and full-stack engineers to deliver new features and operate the pipelines and platforms behind our products.
Data Scientist, Digital Product Analytics The Gap IncData Scientist, Digital Product AnalyticsPleasanton, CAIn this role, you will focus primarily on digital product analytics and experimentation, analyzing the end-to-end digital funnel, drive traffic insights and measurable improvements in conversion and customer experience. As part of the Brand Data Science team, you'll join a group of creative, business-minded data scientists who combine analytical rigor, technical depth, and executive storytelling to drive meaningful impact.
Senior Translational Scientist, Oncology Biomarkers & Translational Research Genentech IncSenior Translational Scientist, Oncology Biomarkers & Translational ResearchSouth San Francisco, CA$120,700–$224,100 / yearThe successful candidate will play a key role in translating biological questions into fit-for-purpose data generation strategies and partnering across disciplines to transform complex multimodal datasets into insights that influence biomarker strategies, patient stratification, and future therapeutic development. This role sits at the intersection of translational biology, emerging profiling technologies, clinical development, and computational science, with a focus on uncovering novel disease biology from large-scale patient datasets and clinical trial biospecimens.
Staff Product Data Scientist Manager, Search Ads Google LLCStaff Product Data Scientist Manager, Search AdsMountain View, CAIn this role, you will guide product development and executive decisions with rigorous data science, measuring the long-term impact of changes on users, advertisers, and Google"s systems with innovative experiment designs and deep data analysis. Design and implement innovative experiment designs, statistical models, and measurement frameworks to analyze the long-term impact of product changes on users, advertisers, and Google"s systems.
NewData Scientist ll - Digital Intelligence SocureData Scientist ll - Digital IntelligenceSan Francisco, CaliforniaThis is a hands-on role for a data scientist who can independently deliver well-scoped projects, work with complex and noisy data, and partner with engineering, product, and risk teams to improve fraud detection, identity confidence, and customer outcomes. You will work on meaningful data science problems in fraud prevention and identity verification, using high-scale Digital Intelligence telemetry to build features and risk signals that contribute to real-world production decisions.
Principal Data Scientist Structure Therapeutics IncPrincipal Data ScientistSouth San Francisco, CA$174,000–$217,000 / yearAs a technical lead in a multidisciplinary environment, you will work closely with clinical scientists, biostatisticians, data managers, statistical programmers, and other stakeholders to design, implement and deploy robust data-driven solutions that accelerate decision-making and improve patient outcomes. The company's platform combines the latest advancements in visualization of molecular interactions, computational chemistry, and data integration to design orally available, superior small molecule medicines that overcome current limitations of biologic and peptide drugs.
Machine Learning Scientist, Reinforcement Learning Profluent IncMachine Learning Scientist, Reinforcement LearningEmeryville, CA$200,000–$330,000 / yearBased in Emeryville, CA, we are backed by leading investors including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures, and have raised over $150M to date. PhD (or equivalent industry experience) in Computer Science, Machine Learning, Natural Language Processing, Applied Math, Computational Biology, Statistics, or a related field.
Staff Data Scientist AI and Pricing Block IncStaff Data Scientist AI and PricingCA$239,600–$359,400 / yearComfort leveraging AI tools to accelerate modeling and analysis, and a working understanding of generative AI architectures - LLMs, RAG systems, and agentic AI; experience building, testing, or evaluating LLM-powered systems in production a strong plus. So we expanded into software and started building integrated, omnichannel solutions - to help sellers sell online, manage inventory, offer buy now, pay later functionality, book appointments, engage loyal buyers, and hire and pay staff.
Senior Computational Development Scientist Veracyte IncSenior Computational Development ScientistSouth San Francisco, CARemote$170,000–$187,000 / hourOur Veracyte Diagnostics Platform delivers high-performing cancer tests that are fueled by broad genomic and clinical data, deep bioinformatic and AI capabilities, and a powerful evidence-generation engine, which ultimately drives durable reimbursement and guideline inclusion for our tests, along with new insights to support continued innovation and pipeline development. This senior, independent scientist position is responsible for contributing to assay concepts, driving analytical development and validation, and partnering closely with wet‑lab, clinical, quality, regulatory, and software teams to deliver robust, clinically actionable MRD diagnostics for multiple indications.
Sr. Bioinformatics Scientist Veracyte IncSr. Bioinformatics ScientistSouth San Francisco, CA$175,000–$190,000 / yearOur Veracyte Diagnostics Platform delivers high-performing cancer tests that are fueled by broad genomic and clinical data, deep bioinformatic and AI capabilities, and a powerful evidence-generation engine, which ultimately drives durable reimbursement and guideline inclusion for our tests, along with new insights to support continued innovation and pipeline development. This position requires a unique blend of expertise in bioinformatics, extensive experience in assay optimization, analytical validation, strong skills in analytical pipeline development, automation and optimization, a deep understanding of molecular biology, and a passion for transforming complex biological data into actionable insights.
Machine Learning Scientist, Reinforcement Learning ProfluentMachine Learning Scientist, Reinforcement LearningEmeryville, CAPhD (or equivalent industry experience) in Computer Science, Machine Learning, Natural Language Processing, Applied Math, Computational Biology, Statistics, or a related field. As an early employee, you will proactively shape the direction of our machine learning efforts and collaborate across diverse teams of computational and experimental scientists.
Principal Applied Scientist, Experimentation Platform - CoreAI Microsoft CorpPrincipal Applied Scientist, Experimentation Platform - CoreAIMountain View, CA$142,800–$274,800 / yearRequired Minimum Qualifications: Bachelors Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Masters Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. Proven track record designing and scaling online experimentation platforms that support high‑velocity A/B and multivariate testing across complex, multi‑team product ecosystems, including governance, guardrails, and causal inference best practices.
Principal Applied Scientist - Auction & Bidding Microsoft CorpPrincipal Applied Scientist - Auction & BiddingMountain View, CA$139,900–$274,800 / yearThey will play a key role in driving algorithmic improvements to online and offline systems, developing and delivering robust and scalable solutions, making direct impacts on advertisers' experience and the ad marketplace's long-term health to collectively and continually increase the revenue for Microsoft Advertising. We are looking for a highly skilled applied scientist with development and management skills and a background in quantitative fields such as statistical machine learning, decision theory, operations research, optimization theory, mathematical modeling, data mining, causal inference, information retrieval, game theory, mechanism design, and optimal control.
Senior Data Scientist, Growth Analytics AirwallexSenior Data Scientist, Growth AnalyticsSan Francisco, CaliforniaPowered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide – including Brex, Rippling, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future.
NewStaff Data Scientist - Digital Intelligence SocureStaff Data Scientist - Digital IntelligenceSan Francisco, CaliforniaYou will help shape a critical Digital Intelligence capability within Socure’s fraud prevention and identity verification platform, using high-scale device, network, browser, mobile, session, and behavioral telemetry to build risk signals used in real-world production decisions. In this role, you will provide technical leadership for turning noisy, high-scale device, network, browser, mobile, API, and behavioral telemetry into production-grade fraud and identity risk signals.
Staff Data Scientist - RiskOS SocureStaff Data Scientist - RiskOSSan Francisco, CaliforniaYou will collaborate closely with engineering and platform teams to build scalable, production‑grade pipelines and services, and with product and risk leaders to ensure RiskOS delivers actionable insights, self‑serve analytics, and best‑in‑class fraud prevention at scale. You will leverage your expertise in fraud and risk management to help develop and integrate robust detection and decisioning models, and your experience with Generative AI to design, evaluate, and operationalize LLM‑powered tools that improve analytics, workflows, and case investigations.