Top Scientist Jobs in San Francisco, CA

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.

The Principal Data Scientist will optimize marketing investments through advanced decision support systems, collaborating with multiple business stakeholders, and leading the development of analytics frameworks.

The role involves executing experiments in drug discovery for inflammatory diseases, collaborating across teams, and contributing to scientific publications.

As a Mass Spectrometry Scientist, you will develop mass spectrometry data analysis solutions, collaborate with clients, and lead scientific projects to enhance biopharmaceutical R&D.

Perform high-complexity clinical laboratory testing, process and accession patient samples, document QC/QA activities, troubleshoot and correct test issues, train staff, maintain records and comply with regulatory and confidentiality requirements.

The role involves hands-on laboratory work for discovering biotherapeutics, characterizing antibodies, analyzing data, and cross-functional collaboration.

As a Mass Spectrometry Software Scientist, you will develop mass spectrometry data analysis solutions, guide client projects, and communicate scientific insights while collaborating with R&D labs in biopharmaceuticals.

As an Applied Scientist III, you will develop statistical, economic, and machine learning models to solve business problems and improve performance. Collaborate with cross-functional teams to analyze data, design experiments, and implement data-driven product improvements.

Lead a team of ML researchers to innovate deep learning solutions in AdTech, managing projects while staying hands-on in coding and implementation.

The Staff Data Scientist will develop loss projections for lending products, analyze data to support strategic goals, and improve forecasting methodologies while collaborating with various teams.

You'll lead the personalization tech strategy, build and maintain user representation and retrieval systems, and collaborate across functions to enhance the AI-driven Oura experience.

Looking for researchers in machine learning and robotics with strong implementation and system-building skills. Open to diverse backgrounds.

The Scientist will develop and employ in silico methods to support biologics development, focusing on molecular dynamics simulations and computational methods for drug development.

Develop and validate diagnostic assays, contribute to experimental designs, and support laboratory operations with a focus on high-throughput processes.

The Tech Lead Manager will lead a team focused on developing methodologies for LLM evals, conducting research, creating benchmarks, and collaborating with clients and partners.

The role involves developing post-training techniques for improving LLM capabilities, collaborating with teams, and publishing research findings.

As an Applied Scientist at Lyft, you will develop ML and optimization models for dynamic pricing, collaborate across teams, and implement algorithms to enhance rider experience.

The Mass Spectrometry Scientist develops data analysis solutions for mass spectrometry workflows, guiding client projects and providing scientific consulting expertise.

As a Senior Mass Spectrometry Software Scientist, you will develop data analysis solutions for mass spectrometry at biopharmaceutical R&D labs, guiding client projects and acting as a scientific expert to enhance client engagement and project success.

Develop and operationalize machine learning models for lab automation, leveraging multimodal data and ensuring reliable predictive capabilities in drug discovery processes.

As a Machine Learning Engineer/Scientist, you will develop ML systems for cryopreservation research, manage data pipelines, and deploy models for scientific insight.

Develop and apply advanced computational tools for modeling complex optical and multiphysics behavior in high-energy laser systems to inform design and validation processes.

Seeking a scientist with a strong background in drug discovery and antibody engineering to collaborate with biopharmaceutical partners and ensure successful AI platform engagement.

The role involves research and development in visual and spatial reasoning for large language models, focusing on experiments, tool development, and collaboration with product teams.