Director, Health Economics & Outcomes Research (HEOR)
RemoteUnited States
Job Summary
Design, plan, and execute health-outcomes analyses using biometric, claims, and clinical data to answer questions from growth, strategy, and clinical teams. Apply modern AI tools to accelerate literature reviews, code, and manuscript drafting while conducting rigorous statistical modeling for complex data structures. Lead peer-reviewed publications and white papers from concept to submission, partnering with cross-functional stakeholders to generate evidence supporting enterprise sales, client retention, and value-based care contracting. Work fluently with medical and pharmacy claims to quantify utilization, cost, and savings outcomes, ensuring measurement fidelity across multi-stakeholder projects.
Required Qualifications
- Bachelor's degree
- 5-7+ years of hands-on experience in clinical analytics, HEOR, health economics, digital health, or a related domain
- Demonstrated, hands-on experience analyzing healthcare claims data and applying rigorous statistical methods
- High proficiency in at least one statistical package: Python (preferred) or R; fluency in SQL
- Startup/growth-stage experience; equivalent scrappy operating experience within a larger org also works
- Comfortable sourcing your own data and delivering rigorous work without the infrastructure, resources, or processes of a large organization
- Experience with time-series and nested/longitudinal data
- A record of peer-reviewed publications or research projects, ideally in digital health, telemedicine, or value-based care
- Proven ability to take a business question and independently carry it to a published result: scoping, analyzing, and delivering with minimal oversight
- Demonstrated, hands-on proficiency using AI tools (e.g., LLM-based assistants) to do analytical and writing work more efficiently and to a higher standard
- Ability to translate technical findings into clear, persuasive insight for non-technical executives, commercial, and external audiences
- Familiarity with HIPAA and data-privacy requirements as they relate to PHI and digital health
- Applicants must be authorized to work in the U.S.
- All Vida Employees must reside in/be able to work from the U.S.
Desired Qualifications
- Master's or PhD in Public Health, Epidemiology, Biostatistics, Statistics, Psychology, Health Economics, or a domain pertinent to digital health/telemedicine
- Experience with end-to-end data processing pipelines, from ingestion through advanced analytics
- Applied data science/machine learning experience
- Familiarity with modern analytics tooling: Jupyter, Google Colab, Git, Jira, Confluence, Google Cloud Platform
- Experience in value-based contracting or payer-facing evidence generation
- Experience collaborating with multidisciplinary teams in a fast-moving tech environment
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