Top Scientist Jobs in San Francisco, CA

The Senior Data Scientist will analyze data to solve real-world problems, partner with product teams, and influence strategy through data-driven insights.

Conduct cutting-edge AI research in computational modeling for biological applications; develop, train, and evaluate large models for proteins, antibodies, or small molecules; design tractable experiments, wrangle large biological/chemical datasets, compute metrics, and visualize results; collaborate with wet-lab scientists, engineers, and product leads; communicate findings and iterate to translate research into therapeutic impact.

Cellares seeks a Senior Scientist in Process Development to execute and analyze experiments for cell therapy, interface cross-functionally, and mentor junior staff.

The Scientist 3 will lead research in immunology, focusing on mechanisms of immunity, therapeutic targets for inflammatory diseases, and promoting candidate development.

The Staff Research Scientist will conduct AI research, innovate in LLM and information retrieval, and collaborate with research teams.

The Lead Clinical Scientist develops clinical strategies for molecules and oversees the execution of Clinical Development Plans, ensuring medical data accuracy and protocol adherence.

Lead a team of researchers to improve large-scale machine learning, focusing on efficiency, optimization, and scaling techniques for AI models.

Lead the Modeling and AI Enablement function within Marketing Data Science, guiding AI strategies, model development, and governance while managing a team of data scientists.

Lead subscription analytics for SoFi Plus: define engagement/retention metrics, run deep-dive analyses and experiments, build scalable data pipelines and ML models, create executive dashboards, and influence product strategy to grow subscription value.

The Senior Data Scientist will develop and validate AML models, oversee implementation, ensure compliance with regulations, and collaborate with governance units.

The Senior Scientist in Biologics Discovery will lead immune-based antibody and cyclic-peptide discovery efforts, utilizing advanced technologies and data analysis to inform experimental decisions and drive innovative drug discovery.

As a Senior Scientist, you will lead mRNA production and engineering efforts, ensuring high purity and scaling processes while mentoring team members and maintaining quality control.

Develop ML methods for biological data analysis, collaborate with scientists, integrate diverse data modalities, and drive innovations in disease modeling.

The role involves refining and personalizing Luma's multimodal AI models, improving their controllability and adaptability for creative workflows, while collaborating with cross-functional teams.

The role focuses on refining Luma's foundation models for better controllability and personalization while collaborating across research, product, and design teams.

Seeking a Research Scientist/Engineer to design and optimize distributed training systems for large-scale multimodal AI models using thousands of GPUs.

The role focuses on optimizing AI models for efficiency, involving GPU/CPU code profiling, high-performance programming, and developing performance tools.

The role involves implementing AI safety strategies, building evaluation frameworks, and developing safeguards against scientific risks from AI models. Candidates must possess strong technical knowledge and communicate complex concepts effectively.

The role involves conducting in vitro ADME assays, managing lab activities, developing bioanalytical methods, and supporting research teams. Candidates should have experience in bioanalysis and cell culture.

Conduct in vitro ADME assays, manage lab activities, develop LC-MS/MS methods, and support project teams with data analysis and presentation.

The ML Scientist will develop a voice interface, personalize speech models, and handle LLMs for high-demand applications, using advanced ML techniques.

The Associate Scientist will design and manage in vivo pharmacology studies, analyze biomarkers, and collaborate with various teams for preclinical development.

As a Scientist, you will develop assays and models for endothelial cell function, collaborate on reprogramming hypotheses, and analyze experimental data.

Drive discovery biology of tumor suppressor proteins in cancer using single-cell and epigenomic profiling; analyze multimodal datasets and collaborate with experimental scientists.

This role focuses on advancing reasoning in large language models (LLMs), requiring expertise in data strategy and model evaluation. The candidate will collaborate on research and bring solutions to real-world applications.