Hiring: Health Economist Company: Hinge Health Location: San Francisco, CA Job Posted Time: 2026-09-12 11:43:37 Employment Type: Remote Target Skills & Keywords : Data Pipeline, Databricks, EHR, GitHub, Medicaid, Medical Billing, Medicare, Product Strategy, Python, R, SQL, Snowflake About the job Experience: •3-5 years of experience using applied econometric methods (e.g., casual inference, cost-effectiveness analysis, budget impact modeling) to address healthcare cost questions •3-5 years of hands-on experience working with large-scale commercial, Medicare, or Medicaid claims databases, including understanding of medical billing practices and health insurance structures •2-5 years of experience with Databricks, Snowflake, or similar cloud-based data platforms •5 years of experience using applied econometric methods (e.g., casual inference, cost-effectiveness analysis, budget impact modeling) to address healthcare cost questions •5 years of hands-on experience working with large-scale commercial, Medicare, or Medicaid claims databases, including understanding of medical billing practices and health insurance structures Required Skills: •Build relationships with Client Success, Marketing, and Commercial teams to understand their analytical needs and prioritize high-impact ROI studies •Audit existing health economics methodologies and identify opportunities to streamline study designs while maintaining rigor •Complete your first client-facing cost analysis, presenting preliminary findings to internal stakeholders •Lead end-to-end execution of claims-based ROI studies, including vendor coordination for data acquisition, data transformation in SQL/Python, and analysis using advanced econometric methods •Partner with Client Success teams to present study results to external clients (health plan analysts, actuaries), translating technical findings into actionable insights •Contribute to clinical study design by identifying key health economics endpoints and measurement strategies •In your first year •Own the health economics research agenda for a specific MSK condition or product line (e.g., chronic back pain, women's pelvic health), acting as the go-to expert for commercial teams Qualifications: •You stay on the cutting edge of MSK and digital health research, constantly refining your methods and bringing new ideas to the team. •You don't just replicate studies—you improve them. •You fluently speak both "data science" and "business," effortlessly moving between technical discussions with actuaries and strategic conversations with commercial leaders. •You know when to prioritize speed over perfection to meet commercial deadlines. •You balance multiple competing priorities—ad hoc client requests, long-term research projects, and internal cross-functional needs—without dropping the ball. •You meet commitments and communicate proactively when timelines shift. •You find creative solutions to data limitations and study design challenges, always delivering defensible, high-quality results that can withstand external scrutiny. •Graduate degree (Master's or PhD) in health economics, health services research, epidemiology, or a related quantitative field •Fluent programming skills in R, SQL, and/or Python for data manipulation, statistical analysis, and visualization Compensation: •$137,600 - $206,400 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!