Lead Health Data Scientist: Causal Inference & Outcomes

<p>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.</p><p>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</p> #J-18808-Ljbffr