Senior Health Data Researcher

Role overview

A senior researcher is needed to lead clinical and economic evidence generation for a cardiovascular-focused digital health platform. The role partners with medical affairs, data science, product, sales, and marketing to produce peer-reviewed publications, white papers, conference abstracts, and client-facing evidence. It suits a rigorous, publication-oriented investigator who can translate complex analyses into insights that inform cardiac prevention outcomes.

Responsibilities

- Partner with leadership and cross-functional teams to prioritize clinical and economic research questions and develop analytical plans for key publications. - Query, clean, and analyze diverse datasets including clinical, claims, electronic health record, and engagement data. - Apply advanced statistical techniques such as multilevel modeling, causal inference, propensity score matching, mixed-effects modeling, longitudinal analyses, and sensitivity testing. - Co-author manuscripts, white papers, and abstracts, incorporating collaborator feedback and revising work in response to anonymous peer review. - Identify suitable conferences, submit abstracts, and present findings to clinical, technical, commercial, and executive audiences. - Contribute to research protocols, IRB materials, data summaries, and documentation while staying current on cardiovascular, digital health, behavioral science, and health economics literature.

Requirements

- Graduate degree in epidemiology, biostatistics, public health, or a clinical field (MS, MPH, PhD, or PharmD) with 5+ years of clinical research experience. - Track record of co-authoring clinical publications and managing multi-project research timelines. - Strong statistical programming skills in R, Python, SQL, or Excel, plus experience with data cleaning, management, analysis, and visualization. - Hands-on experience working with clinical, claims, EHR, or engagement datasets, including testing claims and enrollment data and producing actuarial-style cohort cuts. - AI fluency with the ability to design AI-enabled research workflows that preserve accuracy, privacy, and human review. - Excellent written and verbal communication, with openness to feedback and the ability to explain technical findings to non-technical audiences.

Nice to have

- Familiarity with cardiovascular outcomes research, digital health interventions, behavioral science, or chronic disease epidemiology. - Experience presenting at scientific conferences and engaging with peer reviewers through resubmission cycles.

Benefits and work setup

- Full-time position with a published US base salary range of $145,000 to $165,000, determined by role, level, skills, experience, and education; equity and benefits are described separately and not included in the posted salary figure.