Top Healthtech Data Science Jobs in San Francisco, CA

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.

Intern will develop machine learning models for regulatory genomics, validate predictions with scientists, and communicate findings through publications and presentations.

Data Scientists at Claritas Rx analyze data, build predictive models, and collaborate with teams to enhance product value and support customer needs.

Analyze omics datasets, design high-throughput experiments, integrate multimodal data, and collaborate with biologists to understand disease mechanisms and identify therapeutic targets.

Lead Data Scientist responsible for developing AI solutions and managing machine learning models while collaborating with MLOps and DevOps teams to enhance healthcare outcomes.

Manage Data Science teams to generate data-driven healthcare solutions, establish a vision, prioritize tasks, and enhance team performance.

Drive the development and deployment of data science products focused on causal inference from observational data, collaborating with teams and maintaining data science solutions.

The Data Scientist will analyze complex data sets, support product improvements, and collaborate with teams to drive data-informed decision-making.

Lead a team of data scientists at SmarterDx to develop and implement strategies across product lines, ensuring impactful machine learning solutions for healthcare.

Join Paradigm's Data Science Teams focusing on Data Analytics, Machine Learning, and ML Ops. Positions available for talented individuals in these areas.