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Hinge Health

Runs virtual care for joint and muscle pain

Health Economist

Social & Behavioral SciencesConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA$137.6k - $206.4k /yr

About the Job

Requirements

  • A Master's or PhD in health economics, health services research, epidemiology, or a related quantitative field is required.
  • Three to five years of experience using applied econometric methods, such as causal inference, cost-effectiveness analysis, or budget impact modeling, to address healthcare cost questions is required.
  • Three to five years of hands-on experience working with large-scale commercial, Medicare, or Medicaid claims databases is required, including understanding medical billing practices and health insurance structures.
  • Fluent programming skills in R, SQL, and/or Python for data manipulation, statistical analysis, and visualization are required.

Responsibilities

  • Build relationships with Client Success, Marketing, and Commercial teams to understand analytical needs and prioritize high-impact return-on-investment studies.
  • Audit existing health economics methodologies and identify opportunities to streamline study designs while maintaining rigor.
  • Complete client-facing cost analyses and present preliminary findings to internal stakeholders.
  • Lead end-to-end execution of claims-based return-on-investment studies, including coordinating vendors for data acquisition, transforming data in SQL and/or Python, and analyzing it using advanced econometric methods.
  • Partner with Client Success teams to present study results to external clients, including health plan analysts and actuaries, and translate technical findings into actionable insights.
  • Contribute to clinical study design by identifying key health economics endpoints and measurement strategies.
  • Own the health economics research agenda for a specific musculoskeletal condition or product line, serving as the go-to expert for commercial teams.
  • Publish at least one peer-reviewed manuscript or conference presentation on digital health economics.
  • Build reusable data pipelines from the company's claims and electronic health record warehouse in Databricks to reduce study turnaround time by 30%.

Desired Qualifications

  • A PhD in health economics or health services research is preferred.
  • Two to five years of experience with Databricks, Snowflake, or similar cloud-based data platforms is preferred.
  • A prior publication record in peer-reviewed journals such as Health Affairs, Medical Care, or JAMA, or experience presenting at academic or industry conferences, is preferred.
  • Experience in digital health or musculoskeletal care, including familiarity with value-based care models and population health analytics, is preferred.
  • Familiarity with artificial intelligence tools such as Claude or GitHub Copilot for accelerating code development and data analysis is preferred.

About the Company

Hinge Health

Runs virtual care for joint and muscle pain

Hinge Health runs virtual care programs for joint and muscle pain, with employers and health plans buying access for eligible members. Its app combines personalized exercise therapy with licensed physical therapists, health coaches, and orthopedic specialists. Members use phone-based motion tracking for feedback on their exercises and communicate with their care team between sessions. Programs cover chronic pain, acute injuries, and rehabilitation after surgery, while clients pay for member subscriptions through direct contracts or health plan partners. Hinge Health was founded in 2014 and is headquartered in San Francisco, California, United States.

Company size
1,001-5,000
Company stage
IPO
Headquarters
San Francisco, CA
Founded
2014

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