Jobtailor in San Francisco is seeking a driven researcher to own health research projects end-to-end, from study design to analysis and publication. You will design observational and quasi-experimental studies on real-world hospital data, collaborating with frontline clinicians and product teams to drive outcomes and inform decisions.
This role requires a PhD and a strong track record in causal inference, with hands-on Python experience for large clinical datasets and a history of independently
#J-18808-LjbffrLead Health Data Scientist: Causal Inference & Outcomes in san francisco at Unknown Company
This position is listed as full time and onsite.