# Health Economist

**Company:** [Hinge Health](https://hotfix.jobs/companies/hinge-health)
**Location:** San Francisco, CA
**Role:** Data Analytics
**Salary:** $138k – $206k/yr
**Experience:** 3+ years
**Skills:** SQL, Python, R, Databricks, Econometric Methods, Causal Inference, Cost-Effectiveness Analysis, Snowflake, Claims Data Analysis, Health Economics
**Posted:** 2026-03-25

> Designs and executes ROI studies using claims data and econometric methods to prove cost savings of digital MSK solutions. Analyzes large healthcare datasets with SQL/Python/R and presents findings to clients and stakeholders. Requires master's/PhD and 3-5 years experience.

## Job Description

## 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).

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