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Define and lead HEOR strategy aligned with product pipelines and enterprise initiativesUse longitudinal data to design real-world evidence showing health impact and valueBuild cost-effectiveness, budget impact, and ROI models for health featuresDevelop RWE frameworks using internal/external data to assess longitudinal outcomesAnalyze wearable data to evaluate population-level impact and valueLead value dossiers and evidence packages for commercial and government contractsCollaborate with clinical, regulatory, data science, product, legal, and commercial teams for compliant claimsPartner with Clinical Science to embed endpoints in validation studies for value modelingEstablish documentation, modeling logic, and version control for defensible analysesMaster’s or PhD in HEOR, public health, health policy, biostatistics, or related field8+ years in HEOR or real-world evidence in digital health or medical devicesHands-on experience building cost-effectiveness, budget impact, or ROI modelsExperience integrating economic endpoints into clinical study designExperience supporting enterprise, payer, or government evidence discussionsStrong quantitative skills with large healthcare or real-world datasetsAbility to operate cross-functionally with product, engineering, and clinical teamsExperience with wearable data, digital biomarkers, or remote health technologiesExperience supporting SaMD programs or regulated product environmentsProficiency in R, Python, SAS, and querying data warehouses (eg Snowflake)Experience publishing peer-reviewed economic or real-world researchExperience building HEOR capabilities in scaling organizationsEquity as part of total compensationHybrid work modelEqual Opportunity EmployerOpportunity to scale WHOOPs HEOR functionCollaborative, cross-functional culture