Top Healthtech Data Science Jobs in San Francisco, CA

The Senior Data Modeler I collaborates with teams to develop clinical data models, ensuring data integration and quality while maintaining knowledge bases for clinical concepts and monitoring performance.

The Senior Staff Data Scientist will lead causal inference and experimentation standards, mentor teams, and enhance data-driven decision-making across the organization, focusing on mental health impact.

The Senior Data Scientist will build models and analyses, design experiments, integrate datasets, and leverage AI for improved workflows and insights in data science.

The Head, Innovation Accelerator Data Science leads technical projects in data science, ensuring adherence to best practices and innovation roadmap alignment. This role involves team leadership, technical execution, and collaboration with cross-functional partners.

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

The Staff Data Architect at Heartflow will lead the data strategy, managing the architecture for databases and data lakes while ensuring compliance and performance of the system. Responsibilities include overseeing data modeling, database operations, and collaborating with engineering teams to enhance data processes for healthcare applications.

Drive causal and machine learning analyses to measure product feature impacts, develop KPIs, and create visualizations while collaborating with cross-functional teams.

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

The Senior Data Scientist II will work on Precision Medicine and related projects, developing innovative solutions for data analysis and visualization, while collaborating with various teams to enhance drug discovery and development processes.

Lead the data strategy and analytics for Hinge Health's treatment experiences and hybrid care offering. Manage a team of Data Scientists, oversee data quality, and develop experimentation frameworks.