WHOOP

Machine Learning & Research

SeniorResearchScientist

$110–155k Boston, Massachusetts, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“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.

Machine Learning & Research
Problems you'll solve

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

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