Senior Director, Clinical Intelligence
You will: Own Foodsmart’s ROI and clinical outcomes methodology: identifying which member populations we help the most, and quantifying the value we deliver for both members and payers.
Represent that methodology directly to payers and external actuarial firms, defending our approach under real technical scrutiny, not just presenting a final number.
Build our ROI and evidence methodology as a scalable system, one that extends to new populations and new payer conversations without being rebuilt from scratch each time.
Own our clinical research agenda: turning our results into white papers, publications, and external research output that build Foodsmart’s credibility in the market.
Partner with our clinical team to translate research findings and best practices into how care is actually delivered, closing the loop between evidence and practice.
Serve as the internal expert on clinical outcomes, feeding that expertise into the broader external story Foodsmart tells clients and prospects, without owning that story yourself.
Lead and develop a small team while staying hands-on with the core research and methodology work yourself, and lean on AI and other tooling to extend how much ground you and your team can cover.
You are: A credentialed, seasoned expert who’s done this work repeatedly, not someone learning ROI methodology on the job.
Comfortable being the technical counterpart to a payer’s own actuarial team: rigorous, unintimidated by scrutiny, and able to defend methodology choices in real time.
A genuine researcher. You think in terms of evidence and publication-quality rigor, not just internal reporting.
Able to translate deep technical findings into how care actually gets delivered, working hand in hand with clinical and care delivery teams.
Someone who treats AI as a genuine lever on your own impact. You actively look for ways to use it to research faster, dig deeper, and produce more than your headcount would suggest, and you have a point of view on where it helps and where rigor still demands a human.
A systems builder who thinks in terms of scale: a repeatable methodology, not a one-off analysis redone for every new client or payer.
Comfortable leading a small team while staying personally hands-on with the hardest analytical work yourself.
You have: Master’s degree required in health economics, biostatistics, epidemiology, economics, or a related quantitative field; PhD strongly preferred.
Deep experience (12+ years) as a health economist or actuary, with a track record of building and defending ROI and value-based care methodology. 4+ years of team leadership experience.
Genuine research experience, including published white papers or peer-reviewed work, not just internal analysis.
Deep, hands-on expertise in causal inference (e.g., matched cohort design, risk adjustment, quasi-experimental methods) as applied to healthcare cost and outcomes.
Deep, hands-on experience with healthcare claims data, both medical and pharmacy (Rx), including the practical realities of working with it for cost and utilization analysis.
Direct experience presenting ROI and outcomes methodology to payers, actuaries, or similarly technical external audiences, and defending it under real scrutiny.
Experience partnering with clinical or care delivery teams to translate research findings into practice.
Comfort working directly with data (SQL, R, or Python) to conduct your own analysis. Experience building automation to scale your work through data modeling, AI tooling and dashboarding.
Familiarity with AI-native tooling ( Claude Code or equivalent) as a way to accelerate research and analysis, though deep automation engineering is not the focus of this role.
Excellent written and verbal communication skills, including the ability to write for external, technical, and non-technical audiences alike.