Quantitative Health Data Scientist Causal Inference

The Division of Primary Care and Population Health at Stanford University invites applications for a research scholar to lead quantitative analyses in a dry lab focused on causal inference using public datasets. The role emphasizes writing high‑impact manuscripts and mentoring junior researchers across the United States. Ideal candidates hold a doctoral degree with strong R or Stata skills and experience in quasi‑experimental methods (RDD, dif‑in‑dif, ITS). #J-18808-Ljbffr