Senior Clinical Data Scientist

WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance. WHOOP empowers its members to improve their health and perform at a higher level through a deeper understanding of their bodies and daily lives.
As a Senior Data Scientist on the Health Data Science team, you’ll help develop technology at the core of the business. In collaboration with clinicians, research analysts, and product managers, members of the Health Data Science team build features that help members improve their health and better understand their body’s signals. You’ll work closely with the software, regulatory, and clinical teams on the end-to-end development of SaMD applications, including defining system requirements, architecting and training clinical algorithms, implementing testing frameworks, writing model documentation, and designing and executing clinical validation. You’ll also work on general wellness features for the product that live outside of the regulatory framework. We’re looking for someone who has experience developing ML models in Python environments with time series data and who is excited about the use of wearables in the health and wellness space. 

RESPONSIBILITIES:

1. Develop statistical and machine learning models to solve complex problems with data of varying structures
2. Productionize models and algorithms with assistance from data and software engineers as appropriate, and monitor model performance in the field
3. Work within Quality Management System framework, creating system requirements for development and robust documentation of model architecture and training processes
4. Work with internal and external groups to develop and execute protocols for assessing clinical performance of SaMD features
5. Collaborate with software and regulatory teams to design and implement testing frameworks for SaMD features
6. Conduct research on specific health and physiological problems and integrate clinical research into the development of algorithms
7. Collaborate with scientific and medical advisors as needed to ensure we are interpreting the data in a scientifically accurate and medically responsible way
8. Periodically serve as the on-call data scientist to respond in real time to incidents affecting production services
9. Reports to the Director of Data Science for Health, Sleep & Research