Senior Director, Clinical Data Science

Leads enterprise clinical data science strategy, building and deploying predictive and AI models to support clinical decision-making. Responsible for rigorous evaluation of clinical programs using causal inference and for ensuring model governance, monitoring, and responsible AI practices.

• Lead enterprise clinical data science strategy
• Develop and deploy predictive/AI models for clinical risk and care management
• Evaluate clinical programs using causal inference and quasi-experimental methods
• Establish model governance, monitoring, and performance management
• Build, lead, and mentor a data science team

Focuses on advanced analytics and machine learning, including deep learning and transformer-based models applied to large healthcare datasets. Applies quasi-experimental evaluation methods such as treatment effect modeling, propensity score matching, and difference-in-differences, and builds governance frameworks for monitoring model performance and fairness.

The ideal candidate is an executive-level clinical data science leader with 8+ years of data analysis, statistics, and related experience. They have deep experience building and deploying predictive and AI-driven models in healthcare, including rigorous causal inference and quasi-experimental program evaluation. They lead teams, establish model governance and monitoring, and partner with clinical and operational stakeholders to embed models into care management workflows.