RESPONSIBILITIES:
Lead end-to-end research projects from hypothesis formulation through analysis, interpretation, and communication
Analyze large-scale, longitudinal physiological and behavioral datasets to identify meaningful patterns and insights
Develop and evaluate models that characterize individual variability and predict future physiological states
Translate research findings into clear, actionable recommendations that inform product direction and algorithm development
Collaborate closely with product, engineering, and data science teams to ensure research is interpretable and aligned with real-world use cases
Contribute to the design and execution of research programs
Produce high-quality scientific outputs, including internal reports, white papers, and peer-reviewed publications
Serve as a senior technical leader, providing guidance and mentorship to junior scientists and contributing to raising the bar for scientific rigor across the team.
Help define research standards, methodologies, and best practices across the team
QUALIFICATIONS:
- PhD (or equivalent experience) in a quantitative or health-related field (e.g., Epidemiology, Biostatistics, Biomedical Engineering, Neuroscience, Computer Science, or related disciplines),
Strong background in health science, with grounding in public health and clinical concepts, and experience modeling longitudinal or time-series data (e.g., within-person variability in real-world settings)
Demonstrated ability to design hypothesis-driven analyses and translate findings into clear conclusions
Proficiency in statistical modeling and/or machine learning methods and demonstrated experience using Python or R
Significant hands-on experience with advanced modeling techniques for longitudinal/time-series data, such as probabilistic methods, Bayesian inference, and/or causal inference
Ability to work across disciplines and communicate effectively with both technical and non-technical stakeholders
Experience connecting data analysis to real-world applications (product, wellness, clinical, or operational)
Strong written and verbal communication skills
Skills Required
- PhD in a quantitative or health-related field
- Strong background in health science and public health
- Experience modeling longitudinal or time-series data
- Proficiency in statistical modeling and machine learning methods
- Experience using Python or R
- Hands-on experience with advanced modeling techniques
- Ability to communicate with technical and non-technical stakeholders
- Experience applying data analysis to real-world applications
- Strong written and verbal communication skills
What the Team is Saying
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WHOOP Compensation & Benefits Highlights
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Parental & Family Support — Parental leave is described as generous, with an additional transition period to support return-to-work. Feedback suggests this policy stands out within the overall package.
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Wellbeing & Lifestyle Benefits — Wellness stipends, free WHOOP memberships (including a giftable one), a sleep-performance cash incentive, daily meals, and access to onsite gym and recovery tools create a lifestyle-oriented offering. Feedback suggests these perks meaningfully enhance the total rewards experience beyond base pay.
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Equity Value & Accessibility — Equity participation and stock option eligibility are highlighted, and ownership is portrayed as rewarding as the company grows. Feedback suggests this sense of ownership positively influences perceptions of compensation.
WHOOP Insights
What We Do
At WHOOP, we’re on a mission to unlock human performance. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable device and performance optimization platform has been adopted by many of the world's greatest athletes and consumers alike.
Why Work With Us
At WHOOP, we’re focused on building an inclusive and equitable team with a strong sense of belonging for everyone—increasing representation in every way as our team grows. We believe that our differences are our source of strength—so much so it’s one of our core values.
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WHOOP Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
