Top Healthtech Data Science Jobs

Maintain operational tools and metrics to support real-world evidence deliveries; transform data into actionable insights using statistical methods and visualizations; build and support dashboards and data tools; run ad-hoc analyses, experiments, and predictive models; collaborate with cross-functional stakeholders and operations teams to prioritize and improve processes.

Build actuarial and health-economic models (total cost of care, PMPM, MLR) from claims to project multi-year cost and utilization impacts, quantify uncertainty, support commercial pricing, defend analyses to payer actuaries, partner on causal/expt design, and produce outputs usable for pricing/reserving.

This role involves onboarding clients, solving scientific problems, guiding data analysis on the Tempus platform, and creating documentation. Requires expertise in biomedical datasets and programming.

As a Data Science Intern, you will develop and validate LLM pipelines for extracting clinical endpoints from EHR data, ensuring data quality for clinical analysis.

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.

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.

Leads projects in data science to analyze complex data sets using advanced statistical methods, providing insights for business decisions and managing cross-functional teams.

Senior data leader accountable for Vibrant's enterprise data strategy, unifying analytics, data science, ML, and AI. Owns governance, BI platform architecture, ML/AI model development and responsible AI frameworks, budgeting, compliance, and team building to deliver predictive models, dashboards, and equitable reporting for programs and executive stakeholders.

Lead development and operationalization of data-driven financial forecasting (time-series, AI/ML, causal, Monte Carlo). Integrate statistical outputs into Anaplan planning, establish model governance/validation, build templates/dashboards, collaborate with FP&A and Data/IT, and create a Center of Excellence for advanced forecasting and repeatable playbooks.

Lead strategy and execution for Growth Analytics by building executive scorecards, financial and workforce planning, and organizational programs. Own vision, roadmap, delivery, adoption, and impact measurement for AI- and analytics-driven data products while partnering with data teams and stakeholders to drive data-driven decisions and measurable business outcomes.