Senior Director, Clinical Intelligence

Foodsmart

8d•$210,000 - $245,000•Remote

About The Position

Foodsmart is seeking a Senior Director of Clinical Intelligence to lead the analytical efforts related to the company's value proposition. This role is responsible for ensuring the rigor and clarity of the evidence supporting Foodsmart's claims of improving outcomes and reducing costs for payers. The position serves as the analytical center of gravity for ROI and clinical outcomes, involving research, methodology development, and evidence base creation. It is the most senior data science leadership role, reporting to the VP of Analytics & Data Science. The individual will lead a small team, remain hands-on with research and methodology, and leverage AI as a force multiplier. This role requires a credible technical authority on outcomes and value, capable of engaging with payer actuarial teams, external research partners, and internal leadership. The ideal candidate has prior experience in this specific area, functioning as a health economist or actuary with deep research experience.

Requirements

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.

Nice To Haves

PhD strongly preferred.

Responsibilities

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.