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biostatistics real-world evidence heor cost-effectiveness rweπ Description
- Define and lead HEOR strategy aligned with product pipelines and enterprise initiatives
- Use longitudinal data to design real-world evidence showing health impact and value
- Build cost-effectiveness, budget impact, and ROI models for health features
- Develop RWE frameworks using internal/external data to assess longitudinal outcomes
- Analyze wearable data to evaluate population-level impact and value
- Lead value dossiers and evidence packages for commercial and government contracts
- Collaborate with clinical, regulatory, data science, product, legal, and commercial teams for compliant claims
- Partner with Clinical Science to embed endpoints in validation studies for value modeling
- Establish documentation, modeling logic, and version control for defensible analyses
π― Requirements
- Masterβs or PhD in HEOR, public health, health policy, biostatistics, or related field
- 8+ years in HEOR or real-world evidence in digital health or medical devices
- Hands-on experience building cost-effectiveness, budget impact, or ROI models
- Experience integrating economic endpoints into clinical study design
- Experience supporting enterprise, payer, or government evidence discussions
- Strong quantitative skills with large healthcare or real-world datasets
- Ability to operate cross-functionally with product, engineering, and clinical teams
- Experience with wearable data, digital biomarkers, or remote health technologies
- Experience supporting SaMD programs or regulated product environments
- Proficiency in R, Python, SAS, and querying data warehouses (eg Snowflake)
- Experience publishing peer-reviewed economic or real-world research
- Experience building HEOR capabilities in scaling organizations
π Benefits
- Equity as part of total compensation
- Hybrid work model
- Equal Opportunity Employer
- Opportunity to scale WHOOPs HEOR function
- Collaborative, cross-functional culture
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