Staff Applied Machine Learning Scientist (Health)

📋 Description

• Lead the design, development, and validation of machine learning and statistical methods for Health
• Frame ambiguous health and product questions into well-scoped modeling or study problems, with
• Set the methodological and quality standard for a Health domain: reusable evaluation practices
• Develop and refine approaches for time-series, longitudinal, and multimodal data, including data
• Partner with Machine Learning Engineers to translate validated methods into production-ready
• Serve as a technical counterpart to Product and Digital Health (clinical science, regulatory

🎯 Requirements

• Master's or PhD (or equivalent professional experience) in Biomedical Engineering, Electrical
• 7+ years of professional experience developing algorithms, applied ML models, or statistically
• Demonstrated Staff-level technical leadership: setting methodological standards others reuse
• Strong foundation in statistics (Bayesian and frequentist) and machine learning for time-series and
• Experience with wearable or physiological signals (PPG, IMU, HR/HRV, sleep, activity, temperature
• Hands-on experience designing studies or evaluation protocols end-to-end: data curation, metric