Staff Applied Machine Learning Scientist (Health)

The role

You will turn ambiguous clinical and product questions into studies, models, and evaluation plans using longitudinal wearable and member data. You will lead the design and validation of machine learning and statistical methods for Health features and partner with engineers and product teams.

What you will do

• Lead the design, development, and validation of machine learning and statistical methods for Health features.
• Frame ambiguous health and product questions into well-scoped modeling or study problems.
• Set the methodological and quality standard for a Health domain.
• Develop and refine approaches for time-series, longitudinal, and multimodal data.
• Partner with Machine Learning Engineers to translate validated methods into production-ready systems.
• Serve as a technical counterpart to Product and Digital Health.
• Raise the quality and velocity of the scientists and engineers around you through design reviews and mentorship.
• Communicate trade-offs, risks, and results to technical, clinical, product, and leadership audiences.

Required qualifications

• Master's or PhD (or equivalent professional experience) in Biomedical Engineering, Electrical Engineering, Computer Science, Applied Mathematics, Biostatistics, Bioinformatics, Physiology, or a relate
• 7+ years of professional experience developing algorithms, applied ML models, or statistically rigorous analyses in health, wearables, medical devices, digital health, or a closely related domain.
• Demonstrated Staff-level technical leadership.
• Strong foundation in statistics (Bayesian and frequentist) and machine learning for time-series and longitudinal data.
• Experience with wearable or physiological signals (PPG, IMU, HR/HRV, sleep, activity, temperature, or similar) or a closely related adjacent time-series domain.
• Hands-on experience designing studies or evaluation protocols end-to-end.
• Strong Python skills with reproducible scientific / ML engineering hygiene.
• Clear, high-signal communicator.

About the company

WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives using wearable technology. The Health team develops algorithms and features that expand WHOOP's health sensing capabilities.