Senior Health Data Researcher
Core
Drive clinical and economic evidence to showcase how AI heart health products improve member outcomes through scientific publications, white papers, and peer-reviewed research.
Role type
Senior Health Data Researcher (Clinical & Economic Evidence)
Builds
Scientific publications, white papers, peer-reviewed articles, conference abstracts, and client-facing evidence packages.
Domain
Healthcare / Cardiovascular Health / Health Economics / Digital Health
Deliverable
research | dashboards & analysis
Required skills
Advanced statistical methods (multilevel modeling, causal inference, propensity score matching, mixed-effects modeling), statistical programming (R, Python, SQL), clinical research experience, data cleaning and management, manuscript drafting and revision, IRB documentation, hypothesis formulation.
Preferred skills
AI fluency (designing AI-enabled workflows and agents), experience with claims and EHR data, experience co-authoring clinical publications.
Technologies
R, Python, SQL, MS Excel
Responsibilities
Prioritize clinical and economic research topics; generate research questions and analytical plans; identify, organize, and analyze diverse healthcare datasets; apply advanced statistical methods to formulate hypotheses and conduct analyses; collaborate with co-authors to finalize manuscripts and abstracts; respond to peer reviews and revise submissions; present research findings at conferences; translate complex analytical findings into actionable insights for diverse audiences.
Seniority
Senior, hands-on IC
