WHOOP
Machine Learning & Research
SeniorResearchScientist
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Research Scientist at WHOOP. Skills: hypothesis-driven research, statistical modeling, machine learning, longitudinal/time-series data analysis, Python, R, communication. 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”
What You'll Achieve.
unlock human performance and healthspan; perform at a higher level through a deeper understanding of their bodies and daily lives; translates continuous physiological data into meaningful, real-world insights; model trajectories, variability, and individual response patterns to enable more accurate and actionable insights; inform product direction and algorithm development; ensure research is interpretable and aligned with real-world use cases
Industry & Context.
hypothesis formulation; analysis; interpretation; identify meaningful patterns and insights; predict future physiological states; translate findings into clear conclusions
What They're Looking For.
Must Have
PhD (or equivalent experience) in a quantitative or health-related field (e. g. , Epidemiology, Biostatistics, Biomedical Engineering, Neuroscience, Computer Science, or related disciplines), background in health science, with grounding in public health and clinical concepts, experience modeling longitudinal or time-series data, Demonstrated ability to design hypothesis-driven analyses and translate findings into clear conclusions, Proficiency in statistical modeling and/or machine learning methods, demonstrated experience using Python or R, Ability to work across disciplines, communicate effectively with both technical and non-technical stakeholders, Experience connecting data analysis to real-world applications (product, wellness, clinical, or operational), written and verbal communication skills
Nice to Have
Significant hands-on experience with advanced modeling techniques for longitudinal/time-series data, such as probabilistic methods, Bayesian inference, and/or causal inference
What You'll Do.
Lead end-to-end research projects from hypothesis formulation through analysis
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
Contribute to the design and execution of research programs
Produce high-quality scientific outputs
including internal reports
and peer-reviewed publications
Serve as a senior technical leader
providing guidance and mentorship to junior scientists
contributing to raising the bar for scientific rigor across the team
Help define research standards
and best practices across the team
How You'll Work.
Team & Collaboration
Collaborate closely with product, engineering, and data science teams to ensure research is interpretable and aligned with real-world use cases; Ability to work across disciplines and communicate effectively with both technical and non-technical stakeholders
Communication Scope
communicate effectively with both technical and non-technical stakeholders; written and verbal communication skills; communication
Process & Methodology
Lead end-to-end research projects
Full Job Description
## Description 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 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, Comput
Applying for this Senior Research Scientist role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Lever
- Lever uses a streamlined one-page form — apply in under 5 minutes.
- LinkedIn import works well; review parsed data before submitting.
- The cover letter field is optional but visible to reviewers — use it to differentiate.
- Referral codes from employees can significantly boost visibility of your application.
ANONYMOUS · UNFILTERED
What do employees actually say about WHOOP?
Real rants from real employees. Read before you apply.