Head of Informatics

10+ years in bioinformatics, data science, or advanced analytics in a healthcare field 5+ years working in value-based care environments Strong applied data science and statistics skills including predictive modeling, risk scoring, recommendation techniques, and observational study design Proficiency in Python or R and SQL Experience evaluating and monitoring models (AUC, calibration, lift, stability/drift) Hands-on experience with large healthcare datasets and converting them into production features and models Experience designing clinical data models, cohorts/registries, and clinical decision support or rules engines Proven ability to translate clinical and operational requirements into production-ready data and workflow logic with engineering teams

Set and own the informatics and data science roadmap aligned to cardiology VBC outcomes Lead cross-functional efforts with Clinical, Operations, Product, and Engineering Communicate model and rules-engine performance, risks, and roadmap to executives and clinical leaders Define and maintain unified clinical concepts, cohorts, and event definitions Architect and refine the rules engine for cardiology programs Translate clinical program design into executable rules, scores, and triggers Lead design and development of a recommendation engine for patients and providers Own the applied data science strategy and partner with Data Science/ML and Engineering to deploy models Monitor performance and iterate based on outcomes and clinician feedback Define processes and standards for informatics and data science work Partner with Engineering/MLOps on analytics and ML infrastructure requirements Recruit and mentor a team of informaticists, analysts, and data scientists