What You Will Do Lead quantitative analysis and modeling of real‑world data (CMS, commercial claims, clinical health data) to generate actionable insights for federal public health.
Estimate chronic disease population‑level prevalence and incidence using real‑world data.
Design, implement, and refine machine learning and statistical models (regression, clustering, causal inference) for surveillance and research.
Develop and maintain data pipelines and dashboards for large‑scale health datasets