Hiring: Senior Health Economist Company: Hinge Health Location: San Francisco, CA Job Posted Time: 2026-09-10 11:43:38 Employment Type: Remote Target Skills & Keywords : CPT, Data Pipeline, Databricks, GitHub, Medicaid, Medical Billing, Medicare, Python, R, SQL, Snowflake About the job Experience: •6-10 years of experience designing and conducting health economics studies using advanced econometric methods (e.g., causal inference, cost-effectiveness analysis, budget impact modeling) •6-10 years of experience working with large-scale claims databases (commercial, Medicare, Medicaid), including deep knowledge of medical billing, CPT/ICD coding, and health insurance requirements •10 years of experience designing and conducting health economics studies using advanced econometric methods (e.g., causal inference, cost-effectiveness analysis, budget impact modeling) •10 years of experience working with large-scale claims databases (commercial, Medicare, Medicaid), including deep knowledge of medical billing, CPT/ICD coding, and health insurance requirements •3+ years of experience with Databricks, Snowflake, or similar cloud data platforms, including experience optimizing large-scale data transformations Required Skills: •Assess Hinge Health's current health economics portfolio and prioritize the highest-impact studies for commercial growth and competitive differentiation •Establish your presence as a trusted advisor to Client Success and Commercial teams, shaping how we position ROI evidence in sales conversations •Lead your first complex external ROI study, including vendor negotiation, study design approval from internal and external stakeholders, and results presentation •Own concurrent health economics workstreams across product lines (e.g., chronic MSK, surgical replacement, pelvic health), balancing rigor with commercial timelines •Present directly to external clients (health plan C-suite, actuarial teams) with polished, defensible analyses that close deals and renew contracts •Mentor a junior health economist, establishing team standards for study design, code review, and client communication •Build advanced analytics infrastructure (e.g., automated claims data pipelines in Databricks) that scales the team's capacity •In your first year Qualifications: •You're not just executing studies—you're anticipating what questions the business will need answered in 12 months and building the infrastructure to answer them. •You actively shape team priorities, not just respond to requests. •You've presented to C-suite executives, defended methodologies to skeptical actuaries, and published in peer-reviewed journals. •You tailor your message to any audience—from PhDs to sales reps—and always land the key takeaway. •You thrive in fast-paced commercial environments where study deadlines directly impact revenue goals. •You make pragmatic trade-offs between perfection and speed, always communicating the implications clearly. •You're hands-on with code and data, but you also set the vision for how health economics drives business strategy. •You mentor junior team members while influencing senior leadership. •PhD in health economics, health services research, or a related field strongly preferred; Master's degree with exceptional applied experience considered Compensation: •$169,600 - $254,400 / 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!