Clinical AI Analytics and Methods Consultant - MN preferred - Remote
About the role
The Clinical AI Analytics & Methods Consultant serves as a senior analytics leader and methodological expert supporting the UHC Clinical AI Governance Council. This individual contributor role is responsible for ensuring that AI-enabled clinical use cases are evaluated with rigor, consistency, and clarity, and that analytic methods used in Council review are defensible, reproducible, and aligned to clinical risk, performance metrics, and defined success thresholds.
Responsibilities
- Partner with Council leadership and program consultants to apply the submission framework to each use case, ensuring analytic components align to defined risk, metric, and thresholds
- Define measurable success criteria, translating clinical risks into metrics and thresholds for decision-making
- Ensure complete and clearly defined evaluation methods at intake (data, population, comparators, metrics, and design)
- Serve as the primary technical liaison across data science, clinical, and engineering SMEs, synthesizing inputs into a consistent evaluation approach
- Ensure results support clear pass/fail decisions against defined thresholds
- Develop concise, decision-ready summaries of performance vs thresholds, including key limitations
- Serve as the methodological lead during Council review, addressing questions on evaluation design and results
- Integrate analytic, clinical, and operational inputs into a single, aligned recommendation
- Define analytic requirements for post-deployment monitoring, including metrics, thresholds, and triggers for re-review
- Design and execute analytic evaluations of clinical AI use cases using real-world healthcare data
- Perform hands-on data programming, analysis, and interpretation to support Council reviews and broader evaluation initiatives
Requirements
- 5+ years of experience designing and executing complex healthcare analytics or health services research initiatives
- 5+ years of experience working with real-world healthcare data (claims, EHR, or operational datasets)
- 5+ years of experience applying statistical methods and evaluation design in applied settings
- 3+ years of experience working across clinical, technical, and data science domains to align analytic inputs across stakeholders
Qualifications
- 5+ years of experience working with real-world healthcare data (claims, EHR, or operational datasets)
- 5+ years of experience applying statistical methods and evaluation design in applied settings
- 3+ years of experience working across clinical, technical, and data science domains to align analytic inputs across stakeholders
Skills
- Statistical methods and evaluation design
- Real-world healthcare data analysis
- Translation of analytic outputs into decision-ready insights
- Collaboration across clinical, technical, and data science domains
Benefits
- Comprehensive benefits package
- Incentive and recognition programs
- Equity stock purchase
- 401k contribution
Pay
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements).
Schedule
Primary responsibilities require working in the office a minimum of four days per week.
Location
Primary responsibilities require working in the office a minimum of four days per week. Positions in the Minneapolis or Washington, D.C. area will be required to work in the office a minimum of four days per week.