remote
Health Economics and Outcomes Research Data Scientist - W. L. Gore & Associates
Data Scientist
Data Scientist focused on Health Economics and Outcomes Research, leveraging Python, R, SQL and machine learning to analyze clinical and economic data, build predictive models, and generate actionable insights for global healthcare decisions.
About the role
Key Responsibilities
- Design, develop, and validate statistical and machine learning models to evaluate clinical outcomes and cost‑effectiveness of medical products.
- Extract, clean, and integrate large datasets from clinical trials, claims, and real‑world evidence using SQL and Python.
- Perform advanced econometric analyses, including propensity score matching, survival analysis, and cost‑utility modeling.
- Create clear, data‑driven visualizations and dashboards to communicate findings to cross‑functional teams.
- Collaborate with clinicians, economists, and regulatory experts to translate research into strategic recommendations.
Requirements
- Master’s or Ph.D. in Health Economics, Statistics, Data Science, or related field.
- 5+ years of experience in health economics, outcomes research, or clinical data analytics.
Skills
pythonsqlmachine learning