Research Postdoctoral Fellow
Core
Conduct independent and collaborative research on precision health, population genomic screening, and risk-stratified disease prevention using large-scale EHR, claims, and machine learning methods.
Role type
Research Postdoctoral Fellow (Health Economics & AI)
Builds
Federally funded and industry-sponsored research projects evaluating clinical, economic, and implementation impact of precision disease screening.
Domain
Healthcare / Precision Medicine / Health Economics / Machine Learning
Deliverable
production ML models
Required skills
Statistical programming (R, SAS, Python, STATA), Health economics analysis, Machine learning model development, Generative AI application development, Large healthcare dataset analysis, Scientific writing, Peer-reviewed publication
Preferred skills
Decision-analytic modeling, Agentic AI systems, Precision medicine research, Grant development
Technologies
R, SAS, Python, STATA, EHR, Claims data, Generative AI, Agentic AI
Responsibilities
Develop and optimize machine learning models and generative AI applications; Perform statistical analyses on large healthcare datasets; Conduct health economic analyses; Publish findings in peer-reviewed journals; Present research at conferences; Collaborate with clinicians and data analysts.
Seniority
Postdoctoral Fellow (Early-career researcher)
