Director of Health Economics & Outcomes Research (HEOR)

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, or related quantitative field.

• 8+ years of experience in HEOR, real-world evidence, or health economics within digital health, medical devices, diagnostics, or 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.