Senior Health Economist

Responsibilities 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 Define Hinge Health's long-term health economics research strategy, including publication goals, external partnerships, and methodology innovation Lead publication of high-impact manuscripts in top-tier journals (JAMA, Health Affairs) that establish Hinge Health as the evidence leader in digital MSK care Influence product roadmap decisions by proactively identifying economic opportunities (e.g., Which member segments drive the highest ROI?) and designing studies to answer them Act as the primary advisor to Senior Leadership Team on health economics questions, shaping how we think about value-based contracting and payer partnerships Requirements PhD in health economics, health services research, or a related field strongly preferred; Master's degree with exceptional applied experience considered 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 Expert-level programming skills in R, SQL, and/or Python, with a track record of building reproducible, scalable analytical pipelines #J-18808-Ljbffr Jobtailor