Sr. Associate, Medical Economics

About Hopscotch Primary Care

We believe great healthcare should be accessible to all people across all communities. Today, almost 20% of Americans live in a rural community, yet only 11% of physicians practice in those same communities. We are on a mission to transform healthcare in rural America.

Role Description

The Sr. Associate, Medical Economics operates at the intersection of FP&A, analytics, and population health, turning claims and clinical data into the insight that drives Hopscotch's value-based care performance.

• Support the in-house build of Hopscotch's cost categorization capability – including customizations, updates for new code and mappings, and change management.
• Own the ongoing maintenance, enhancements, governance, change control, and documentation for Hopscotch's payer data and cost categorization capabilities.
• Build and maintain the medical economics reporting suite (e.g., SQL, PBI, Excel) and support IBNR estimation, cohort forecasting, and paid-risk pacing.
• Review monthly outputs to surface cost drivers and emerging trends, distinguishing real movement from the impact of incomplete claims and statistical noise.
• Analyze medical cost trend across factors such as unit cost, utilization, mix; and enrich claims with EHR, eligibility, provider, and risk adjustment data to explain population-level trends and financial performance.
• Partner across Clinical, Operations, and Finance to translate business questions into analyses, ensure results flow accurately into management reporting, and build repeatable analytic processes that scale across programs.

About You

• You build and you interrogate – you can stand up a clean dataset and tell when the output doesn't pass the smell test or is logically inconsistent.
• You exercise critical thinking and understand the conceptual framework and database relationships that underly healthcare data.
• You are comfortable with ambiguous problems and immature data and take pride in acknowledging what's unknown while taking steps to fill the gaps.
• You form a point of view; you don't just produce the number, you explain what's driving it and why it matters.
• You document as you build, so your definitions are transparent and others can rely on them.
• You are a self-starter with an ownership mindset, thrive in a fast-paced environment, and care about transforming rural healthcare.

Qualifications

• Bachelor's in Economics, Finance, Statistics, Mathematics, Health Informatics, Actuarial Science, or a related quantitative field.
• 3+ years of experience in healthcare analytics or medical economics (payer, provider, health system, ACO, or VBC).
• High proficiency in SQL, Power BI, and Excel.
• Hands-on experience with healthcare claims data, and combining data sources (claims, eligibility, EHR, risk adjustment).
• Familiarity with healthcare financial and utilization concepts (e.g., PMPM, MLR, utilization per 1,000, trend, risk adjustment).
• Experience with maturing data models, identifying improvement opportunities while still generating value from nascent datasets.
• Experience presenting and communicating data-driven insights to functional leaders.

Preferred / Bonus

• Direct value-based care / medical-economics analytics experience, and familiarity with key considerations and leading methodologies for claims cost categorization.
• Experience with Palantir Foundry or a comparable enterprise data platform.
• Comfort using AI-assisted tooling to accelerate build and analysis.
• Statistical methods (regression, difference-in-differences, propensity score matching).
• Experience leading technical/analytical projects with combined teams of functional and technical stakeholders.