Top Scientist Jobs in San Francisco, CA

The Forward Deployed Research Scientist engages directly with AI labs to develop data strategies, fine-tune models, run experiments, and collaborate on publishing research, all in a fast-paced client-focused setting.

The role involves developing and validating quantitative systems pharmacology models, performing simulations, and collaborating across teams to support oncology R&D.

The Senior Scientist in Bioinformatics will analyze clinical biomarker data, perform statistical analysis, and collaborate with teams to support oncology trials.

Develop mass spectrometry data analysis solutions, guide client projects, act as a scientific lead, and provide tailored scientific insights using Genedata Expressionist software.

As a Senior Associate in Audit and Assurance, you'll evaluate AI solutions, manage AI/ML controls, and enhance transparency in reporting. Responsibilities include data analysis for governance strategies, guiding compliance practices, and contributing to innovative thought leadership in AI governance.

Lead the design and implementation of enterprise AI/ML solutions, oversee project performance, mentor leaders, and ensure compliance with Responsible AI.

The role involves designing and implementing AI/ML solutions, leading teams, mentoring staff, and managing project delivery while ensuring client satisfaction.

The Senior Scientist will engineer bispecific antibodies, integrate AI/ML in protein design, and contribute to antibody discovery against viral pathogens, collaborating in a multidisciplinary team.

The Machine Learning Scientist will develop reinforcement learning algorithms for protein design, collaborate with teams, and shape machine learning strategies.

As a Staff Data Scientist at Gusto, you will drive data-informed decision-making, lead projects, collaborate with teams, and mentor others in statistical analysis and experimentation.

The Data Scientist will analyze data to provide insights, partner with teams for metrics, develop models, and create accessible visualizations to influence product and program strategies.

As a Forward-Deployed Data Scientist II, you will collaborate with customers to define use cases, improve data pipelines, and advance ML models while providing technical expertise for successful customer outcomes.

Conduct research in computer graphics and AI, solve complex problems, lead projects, collaborate with production teams, and publish findings.

Conduct research in computer graphics and AI, develop algorithms for film productions, collaborate on production challenges, and publish results in journals.

As a Research Scientist, design, implement, and validate AI techniques, prototype systems, and convert research into practical applications while collaborating with industry partners.

The Senior/Staff Research Scientist will develop and implement AI techniques, prototype solutions, and collaborate with teams to apply research in real-world settings.

The Sr. Research Scientist will advance deep learning techniques, optimize ML systems, and drive innovations for large-scale neural network training.

The role involves designing robot learning algorithms, leveraging data for generalizable behaviors, and collaborating on consumer robot development. Responsibilities include end-to-end task management from definition to deployment.

The Protein Immunoengineering Scientist will develop in vitro systems for understanding protein immunogenicity, scale immune characterization assays, and collaborate on reducing protein immunogenicity.

The role involves analyzing biological mass spectrometry data, developing software tools, and scaling workflows for AI and human consumption in drug safety assessment.

The role involves developing AI models for robotic manipulation, building data pipelines, utilizing simulation for training, and mentoring engineers.

As a Research Scientist, you will develop new algorithms for robot foundation models, conduct research in machine learning and robotics, and enhance technology advancements within the company.

The Research Scientist will develop AI capabilities for life sciences tasks, create evaluation benchmarks, and build tools for biological workflows using machine learning to enhance research outcomes.

The QC Analytical Scientist will lead bioanalytical strategy, oversee CROs, ensure data integrity, and address complex analytical challenges for therapeutics.

The Clinical Lab Scientist I handles patient samples, analyzes results, maintains records, and participates in quality control in a clinical lab.