Senior Scientist, Real-World Evidence and Outcomes
Core
Design and execute end-to-end real-world evidence and outcomes studies to establish clinical impact and cost-effectiveness of a healthcare AI platform for post-acute care.
Role type
Senior Real-World Evidence and Outcomes Researcher
Builds
Peer-reviewed publications, ROI and cost-avoidance analyses, and commercial evidence packages for payers and health systems.
Domain
Healthcare AI, Post-Acute Care, Health Economics, Real-World Evidence
Required skills
Observational and quasi-experimental study design, Causal inference methods, Health economics analysis, Clinical endpoints definition, Scientific writing, R or Python, SQL, IRB submission management
Preferred skills
Medicare claims structure knowledge, Remote patient monitoring experience, AI model evaluation in clinical workflows, Startup experience
Technologies
R, Python, SQL
Responsibilities
Define study questions, cohorts, and endpoints from operational data; Apply matching and causal inference methods to analyze claims and EHR data; Draft and publish manuscripts in clinical or informatics journals; Translate technical findings into clear narratives for executives and payers.
Seniority
Senior, hands-on IC
