Health Economist

Responsibilities

• Build relationships with Client Success, Marketing, and Commercial teams to understand analytical needs and prioritize high-impact ROI studies.
• Audit existing health economics methodologies and streamline study designs.
• Lead end-to-end execution of claims-based ROI studies, including vendor coordination, data transformation in SQL/Python, and analysis using advanced econometric methods.
• Partner with Client Success teams to present study results to external clients, translating technical findings into actionable insights.
• Contribute to clinical study design by identifying key health economics endpoints.
• Own the health economics research agenda for a specific MSK condition or product line.
• Publish at least one peer-reviewed manuscript or conference presentation.
• Build reusable data pipelines from claims and EHR warehouse (Databricks) to reduce study turnaround time.

Requirements

Basic Requirements:

• Graduate degree (Master's or PhD) in health economics, health services research, epidemiology, or related quantitative field.
• 3-5 years of experience using applied econometric methods (e.g., causal inference, cost-effectiveness analysis, budget impact modeling).
• 3-5 years of hands-on experience with large-scale commercial, Medicare, or Medicaid claims databases.
• Fluent programming skills in R, SQL, and/or Python for data manipulation, statistical analysis, and visualization.

Preferred Requirements:

• PhD in health economics or health services research.
• 2-5 years of experience with Databricks, Snowflake, or similar cloud-based data platforms.
• Prior publication record in peer-reviewed journals.
• Experience in digital health or MSK care.
• Familiarity with AI tools (e.g., Claude, GitHub Copilot).