Responsibilities
- Design and lead real-world and clinical research studies, including observational, retrospective, prospective, and interventional designs, ensuring methodological rigor and scientific integrity.
- Develop and execute statistical analysis plans, including use of mixed models, causal inference, and other advanced methods, to generate insights on cardiometabolic health and behavior change.
- Conduct and interpret analyses of large-scale time-series physiological and wearable data to uncover meaningful patterns and health outcomes.
- Prepare IRB submissions and oversee compliance when applicable to support ethical and regulatory standards in research execution.
- Communicate research findings through peer-reviewed publications, scientific presentations, white papers, internal briefs, and cross-functional knowledge sharing.
- Establish and manage academic and industry research partnerships to support validation studies, innovation initiatives, and scientific advancement.
- Collaborate with internal stakeholders across Marketing, Data Science, Enterprise, and Product teams to translate research into product and business impact.
- Mentor junior scientists, fostering a culture of scientific rigor, curiosity, and collaboration within the Performance Science team.
Qualifications
- Advanced degree (PhD, MD, PharmD, or equivalent) in life sciences, public health, biostatistics, physiology, cardiometabolic health, biomedical data science, or related discipline.
- 5+ years of post‑graduate experience with a strong record of publications and independently led research.
- Demonstrated experience designing and executing clinical research and real‑world studies; familiarity with IRB processes and clinical trial frameworks.
- Advanced proficiency in Python, R, and/or SQL for data extraction, statistical analysis, and visualization of wearable and biomedical datasets.
- Experience working with large‑scale time‑series physiological or wearable data.
- Ability to communicate scientific insights effectively with both technical and non‑technical audiences.
- Excellent organizational skills, attention to detail, and ability to manage multiple projects.
- Experience collaborating with academic partners, healthcare systems, or consortiums.
- Strong commitment to embracing and leveraging AI tools in day‑to‑day tasks, ensuring AI‑assisted work aligns with the same high‑quality standards as personal contributions.
Similar roles you might like
View all Other roles
International Project Planner, Real Estate
Hawthorne, CAFull-Time
Other
More roles at Whoop
View company profile
Android Engineer (Growth & Ecosystem)
Boston, MAFull-Time
Android