Leads and manages the entire lifecycle of data science projects, from conceptualization and design to development, deployment, and ongoing optimization.
Build and deploy advanced analytics that explain and predict acute utilization (Inpatient/Emergency Department) and quantify how care delivery changes (e.g., panel shifts, capacity differences, continuity disruption) impact outcomes for heart failure and other high-risk populations.
Translate longitudinal patient care data into actionable intervention points across primary care, specialty care, and monitoring programs.
Partner with clinical and operational leaders to convert analytic findings into care pathway recommendations, operational triggers, and monitoring protocols; define measures of success and evaluate impact.
Collaborate with cross-functional teams to define project scope, objectives, analytic design, validation strategy, and expected impact, ensuring ...