Director of Health Economics & Outcomes Research (HEOR)
Whoop•2d ago
United StatesRemoteFull-timeDirector Level8+ yrs exp
Top focus
Research Scientist
Responsibilities
- Define and lead WHOOP’s HEOR strategy, aligning economic and outcomes evidence generation with regulated product pipelines, enterprise initiatives, and expansion.
- Leverage WHOOP’s existing longitudinal member dataset to design and execute real-world evidence analyses demonstrating health impact, productivity gains, utilization reduction, or risk stratification value.
- Design and build cost-effectiveness, budget impact, and ROI models that quantify the economic impact of WHOOP’s health features for employers, payers, and government stakeholders.
- Develop real-world evidence (RWE) frameworks leveraging internal and external datasets to assess longitudinal health, utilization, and productivity outcomes.
- Analyze large-scale datasets (including wearable-derived biomarkers and engagement metrics) to evaluate population-level impact and value generation.
- Lead the development of enterprise-ready value dossiers and structured evidence packages to support commercial engagements and government contracting.
- Collaborate cross-functionally with Clinical Science, Regulatory Affairs, Data Science, Product, Legal, and Commercial teams to ensure economic claims are scientifically sound and compliant.
- Partner with Clinical Science to embed economically meaningful endpoints into validation studies, ensuring that data collection supports downstream value modeling and enterprise use cases.
- Establish processes for documenting assumptions, modeling logic, and version control to ensure defensibility and audit-readiness of economic analyses
Qualifications
- Master’s or PhD in Health Economics, Outcomes Research, Public Health, Health Policy, Biostatistics, Epidemiology
- related quantitative field. 8+ years of experience in HEOR, real-world evidence
- health economics within digital health, medical devices, diagnostics
- healthcare technology.
- Demonstrated experience building cost-effectiveness, budget impact, or ROI models (hands-on modeling experience required).
- Experience integrating economic endpoints into clinical study design and collaborating with clinical research teams.
- Experience supporting enterprise, payer, or government-facing evidence discussions.
- Strong quantitative skills, including experience working with large healthcare or real-world datasets.
- Proven ability to operate cross-functionally in fast-paced environments involving product, engineering, and clinical stakeholders.
- Experience working with wearable-derived data, digital biomarkers, or decentralized/remote health technologies preferred.
- Experience supporting Software as a Medical Device (SaMD) programs or regulated product environments preferred.
- Proficiency in statistical and modeling tools (e.g., R, Python, SAS, or similar) and experience querying modern data warehouses (e.g., Snowflake or equivalent) preferred.
- Experience publishing peer-reviewed economic or real-world evidence research preferred.
- Experience building HEOR capability within a scaling organization preferred.
Required skills
Health EconomicsOutcomes ResearchBiostatisticsEpidemiologyRPythonSASData Analysis