Top Healthtech Data Science Jobs

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.

The Senior Director of Data Science manages a team to analyze data and solve business problems using advanced mathematical and statistical models while providing strategic direction to the business.

The Senior Applied AI Data Scientist will build AI workflows, prototype applications, and enhance decision-support systems while collaborating with various teams to operationalize AI solutions.

Design, implement, and maintain marketing inference models (e.g., MMM and attribution). Analyze large datasets and A/B/uplift experiments with rigorous statistics, build predictive and causal models, partner with marketing to generate testable ideas, and communicate insights to drive marketing decisions.

Lead HR-focused predictive analytics by designing, building, and deploying workforce models (attrition, quality of hire, performance). Apply statistical and machine learning methods to HR data, produce dashboards and insights, advise on AI strategy and compliance, and deliver workforce forecasting and talent intelligence projects.

Design and validate statistical and predictive models on large healthcare datasets to uncover cost and utilization drivers. Produce visualizations and actionable recommendations, lead cross-functional analytic projects, and partner with underwriting, product, contracting, sales, and finance to inform pricing, forecasting, and product strategy.

Lead HR-focused predictive analytics by designing and deploying ML and statistical models for attrition, workforce forecasting, and talent outcomes. Translate insights into dashboards and recommendations, advise HR on AI strategy and compliance, and deliver high-impact workforce planning projects across regulated environments.

The role involves developing data models, building data engineering systems, unifying healthcare datasets, and collaborating with various teams to create analytical solutions.

This role involves analyzing EHR and insurance claims data to define clinical outcomes, developing AI models, and collaborating with technical experts for manuscript preparation.

The Data Manager – AI Development coordinates data planning, collection, annotation, and governance for AI medical devices, ensuring data readiness and compliance.