Whoop
Whoop

Senior Research Scientist

$110,000 – $155,000 per year

TLDR

Lead innovative research projects to analyze complex physiological data, providing actionable insights and maintaining scientific rigor within a collaborative team setting.

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

  • Whoop builds a performance optimization platform that helps individuals understand their bodies and health through advanced wearable technology. Targeted at fitness enthusiasts and health-conscious individuals, this startup stands out by focusing on personalized metrics and insights that drive improved performance and longevity.

    Founded
    Founded 2007
    Employees
    51-200 employees
    Industry
    Internet Software & Services
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