Whoop
Senior Research Scientist
Boston, MA · Senior
Sponsorship not specifiedDetected 8 days ago
PythonMachine LearningData AnalysisData ScienceStatisticsPublic HealthResearchCommunicationMentoringBiostatisticsEpidemiology
About the role
- - 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
Responsibilities
- Lead end-to-end research projects from hypothesis formulation through analysis, interpretation, and communication
- Develop and evaluate models that characterize individual variability and predict future physiological states
- 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
Requirements
- 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
- 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
- Experience connecting data analysis to real-world applications (product, wellness, clinical, or operational)
- Strong written and verbal communication skills
This listing is sourced directly from Whoop's careers page and normalized into a canonical job model.