Senior Manager, Data Science
Core
Build and deliver hands-on, code-first analytics and algorithm development using wearable and sensor-derived longitudinal data to support clinical development and digital health initiatives.
Role type
Senior Manager, hands-on individual contributor data scientist
Builds
Production-quality Python pipelines, validated models, and reproducible research standards for time-series sensor data
Domain
Digital health, biomedical engineering, clinical development
Deliverable
production ML models
Required skills
Python (production quality, OOP, modular pipelines), time-series sensor data processing (QC, artifact removal, imputation, feature engineering), longitudinal statistical modeling (mixed effects/hierarchical), deep learning (Transformers, ensembles), signal processing, Git/version control
Preferred skills
Navigational physics (quaternions, Euler angles, dead-reckoning), sleep analytics, circadian cosinor modeling, third-party analytics integration, AWS, multi-GPU instances
Technologies
Python, Git, AWS, Transformers, deep learning frameworks
Responsibilities
Build and maintain Python pipelines for wearable time-series data; Develop and validate models for longitudinal sensor data using frequency/time-frequency representations and deep learning; Apply statistically rigorous approaches to repeated-measures data; Implement strong evaluation practices (Nested CV, LOO, OOB); Collaborate with internal stakeholders and external partners; Contribute to team excellence via code reviews and technical mentorship