May 21, 2026 Melissa Kashouh

Whoop – Senior Research Scientist

  • Anywhere

● TALENT ONE MARKET INTELLIGENCE: WHOOP

🔥 TALENT LIQUIDITY:
Tight. High demand for researchers who can bridge the gap between pure science and consumer product engineering.

📈 ALPHA SIGNAL:
This role puts you at the center of the ‘Healthspan Economy.’ By owning the predictive models, you are building a career moat that makes you a high-value target for future M&A in the digital health space, effectively insulating your mortgage payments from market volatility.

EST. COMPENSATION
$190k – $240k Base + Equity + Performance Bonus
SECTOR HEAT
85.8/100
CANDIDATE PROTOCOL: Focus on your ability to handle ‘noisy’ real-world data vs. clean clinical datasets. Your moat is the ability to translate complex physiological variability into a simple, actionable UI/UX feature.

Official Role Description: Whoop

At WHOOP, we’re on a mission to unlock human performance and healthspan. WHOOP empowers users to perform at a higher level through a deeper understanding of their bodies and daily lives. We are seeking a Senior Research Scientist to lead hypothesis-driven research that translates continuous physiological data into meaningful, real-world insights. You will work at the intersection of data science, human physiology, and product innovation, and will focus on understanding how health, behavior, and context interact over time at the individual and population level.The ideal candidate will design and execute research that goes beyond detection to model trajectories, variability, and individual response patterns to enable more accurate and actionable insights.RESPONSIBILITIES:Lead end-to-end research projects from hypothesis formulation through analysis, interpretation, and communicationAnalyze large-scale, longitudinal physiological and behavioral datasets to identify meaningful patterns and insightsDevelop and evaluate models that characterize individual variability and predict future physiological statesTranslate research findings into clear, actionable recommendations that inform product direction and algorithm developmentCollaborate closely with product, engineering, and data science teams to ensure research is interpretable and aligned with real-world use casesContribute to the design and execution of research programsProduce high-quality scientific outputs, including internal reports, white papers, and peer-reviewed publicationsServe 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 teamQUALIFICATIONS: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 conclusionsProficiency in statistical modeling and/or machine learning methods and demonstrated experience using Python or RSignificant hands-on experience with advanced modeling techniques for longitudinal/time-series data, such as probabilistic methods, Bayesian inference, and/or causal inferenceAbility to work across disciplines and communicate effectively with both technical and non-technical stakeholdersExperience connecting data analysis to real-world applications (product, wellness, clinical, or operational)Strong written and verbal communication skillsThis role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.  Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $110,000 – $155,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.  In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements. Learn more about WHOOP.

Melissa Kashouh

Founder of Talent One I help enterprise leaders and investors forecast hiring surges, talent shortages, and market friction up to six weeks in advance using our patent-pending predictive intelligence platform. As the founder of Talent One AI (the intelligence layer of The Talent One), I built a system that turns lagging recruiting data into actionable foresight — helping companies reduce technical debt, protect employer brand, and hire ahead of the curve. Based in Providence, Rhode Island.
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