Top Scientist Jobs in San Francisco, CA

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.

As a Research Scientist, you will design AI technologies for motion planning in self-driving trucks, focusing on deep learning and seamless integration into production systems.

Research Scientists at Waabi will lead AI projects to develop algorithms for self-driving technology, collaborate on solution deployment, and publish research at conferences.

Lead applied machine learning projects to extract spatial intelligence from construction data, ensuring high-quality production systems and engineering standards.

The Senior Scientist will oversee biomarker activities in clinical trials, analyze data, manage assay development, and support strategic initiatives in immune-mediated diseases.

The Research Scientist will develop and execute high-throughput assays, collaborate with AI teams, and maintain scientific communication to characterize novel proteins in generative AI and biology contexts.

The Senior Data Scientist will analyze marketing performance, develop reports, collaborate with teams, and provide data-driven insights to enhance marketing strategies and drive business growth.

The Data Scientist develops machine learning models for credit risk and operations, collaborating across teams to enhance decision-making and profitability.

As a Clinical RWE Scientist, you'll design and execute real-world data studies, collaborate with clients, and ensure high-quality research delivery.

Develop models and algorithms to enhance scientific research using AI agents. Collaborate with a multidisciplinary team and manage research projects end-to-end.

This role involves leading post-training data curation for foundation models, designing algorithms for data generation and improvement, and unifying pre-training and post-training curation to maximize model performance.

The Scientist I will design and conduct in vitro and in vivo immunology studies, lead strategic planning, and collaborate with teams to develop genetic medicines for immune diseases.

The role involves leading LCM workflows, developing automated image analysis, and optimizing biotinylation strategies for cellular and tissue analysis. Requires expertise in microscopy and image analysis for drug discovery efforts.

The Staff Data Scientist will identify AI opportunities, develop machine learning models, and provide mentorship while delivering business solutions using data analytics and AI technologies.

Seeking a Scientist for hands-on analytical development in cell therapy, focusing on method execution, optimization, and cross-functional collaboration.

The Technical Development Scientist will design experiments for gene therapy product development, optimize processes, analyze data, and collaborate cross-functionally to ensure compliance and quality.

The Senior Research Associate/Associate Scientist will execute and optimize biochemical assays, analyze results, and collaborate within a team to advance kidney disease research.

The Senior Principal Scientist will design and conduct experiments using various biomedical assays to support drug discovery, focusing on data analysis and high-quality reproducible results using laboratory automation.

The job involves designing and deploying multimodal AI models, managing projects, generating datasets, and collaborating with various teams to create AI solutions.

Lead high-impact research on AI safety, design experiments on large language models, and oversee publication processes for research findings.

Lead end-to-end data science projects: build, deploy, and monitor ML models (credit risk, pricing, collections, fraud). Partner cross-functionally, productionize pipelines, write production-grade code, and communicate results to technical and non-technical stakeholders.