Top Healthtech Data Science Jobs in San Francisco, CA

The AI Data Scientist optimizes and operationalizes machine learning models to enhance precision in clinical research, collaborating with cross-functional teams and ensuring model effectiveness.

The VP Enterprise Data Transformation will lead data science, analytics, and AI strategies, overseeing a data team, driving insights, and ensuring data governance within Surescripts.

The Principal Data Scientist develops and deploys machine learning models for operational and clinical uses, performs analyses, and collaborates with various stakeholders.

The Senior Director of Data Science Initiatives and Partnerships will lead high-impact partnerships, oversee data science initiatives, and drive strategic vision at JAX, bridging research and external collaboration.

The Data Scientist will build predictive models, drive forecasting, design experiments, and translate findings for stakeholders, optimizing healthcare operations.

Seeking a Senior Data Science Analyst to analyze data, develop dashboards, support data science efforts, and improve reporting processes in a remote role.

The Research Intern will assist in data curation, exploratory analysis, and implementation of machine learning models in healthcare applications.

The Director of Data Science will lead data science strategy, develop teams, and ensure ML systems meet clinical needs in healthcare.

Lead analytics for claim decisioning by framing ambiguous problems, building scalable data models and pipelines, designing metrics, and deploying analytical and ML solutions. Partner cross-functionally to measure decision quality, operational performance, and payment accuracy, iterating quickly to deliver measurable impact.

The Lead Data Scientist will drive data strategy, build predictive models, analyze healthcare datasets, and collaborate with teams to improve clinical outcomes.