Top Scientist Jobs in San Francisco, CA

As a Senior Data Scientist, you will analyze product usage, develop frameworks for user behavior, build statistical models, and collaborate with cross-functional teams to derive actionable insights and influence decision-making.

The role involves analyzing fraud and risk data, defining KPIs, collaborating on anti-fraud strategies, and creating tools and dashboards for data accessibility at Whatnot.

Lead AI Research Scientist responsible for cutting-edge AI research, delivering advanced solutions, and leading projects in personalized investment guidance and optimization algorithms.

The Staff Data Scientist will drive business strategy through predictive insights, collaborate across teams, and develop solutions to enhance products and reduce losses.

The Data Scientist will collaborate with various teams, run experiments, analyze data to inform product strategy, and drive growth through advanced analytics and machine learning.

Design and evaluate marketplace algorithms for matching, pricing, and forecasting. Build price-estimation and demand/supply models, clean and analyze operational data, run simulations and counterfactuals, and collaborate with engineering to deploy model-driven systems that scale.

Lead a discovery lab in tumor biology, mentor teams, innovate drug discovery methods, collaborate across scientific functions, and publish research findings.

The Principal Scientist will lead statistical analysis of multi-omics data, focusing on oncology projects, and collaborate with teams to communicate findings.

The Postdoctoral Scientist will investigate HIV latency and reservoir dynamics using advanced molecular and cellular assays, focusing on proviral expression and inducing therapeutic strategies for HIV remission.

Develop scalable mammalian cell culture processes for biologics. Collaborate on optimizing cell culture media and lead experiments while maintaining lab practices.

As a research scientist, you'll design, deploy, and operate optical diagnostics for isotope separation experiments, enhance experimental setups, and analyze data, leading projects from concept to commissioning.

Design and productionize algorithms and regression models for real-time bidding and conversion prediction; apply privacy-preserving clustering to conversational data; analyze data to improve ad matching; conduct research, form hypotheses, and communicate findings to technical and non-technical stakeholders.

The Platform Scientist will investigate protein evolution using computational biology, developing tools and strategies to analyze protein variation and contribute to open-access publications.

The R&D Engineer/Scientist will develop efficient solar cell processes, optimize materials, and lead projects on perovskite technology. Responsibilities include systematic experiments, collaboration, and advancing manufacturing techniques for solar energy solutions.

Lead applied research and system development at the intersection of machine learning and construction data, mentoring teams and driving technical strategy.

As a Research Scientist, you will conduct pioneering research, develop algorithms, and collaborate on groundbreaking machine learning projects to advance AI technology.

Support design and execution of clinical development activities for ophthalmology trials: protocol writing, vendor/CRO oversight, medical monitoring, data review/interpretation, regulatory document contributions, and cross-functional collaboration.

The role involves developing antibody workflows, optimizing antibody processes, conducting experiments, leading teams, and staying updated with advancements in antibody technologies.

Develop machine learning models for search ranking and personalization at Faire, leveraging data to help local retailers thrive.

As a Staff Data Scientist, you will lead product analytics, define measurement strategies, drive cross-team initiatives, and mentor junior data scientists to enhance mental healthcare outcomes.

As a Staff Data Scientist for Marketing Analytics, you will lead marketing performance analysis, develop measurement frameworks, and influence strategic decisions to drive patient growth.

The Senior/Staff Research Scientist will design datasets, collaborate on benchmarks, communicate findings, and represent the company in external research. Focus on AI, ML evaluation, and cross-functional collaboration is essential.

The Research Scientist will focus on reinforcement learning for training large language models, designing data pipelines, and translating research into products, contributing to Snorkel's capabilities and research agenda.

As an AI Research Scientist, you will conduct original research in learning-based robotics, working collaboratively with global teams to deploy solutions on actual hardware.

The role involves leading biomarker strategies, coordinating with various departments, and overseeing translational studies to support clinical programs targeting inflammatory diseases. Responsibilities include ensuring regulatory compliance and presenting findings to health authorities.