Senior Clinical Data Scientist

Job Description

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:

Develop statistical and machine learning models to solve complex problems with data of varying structuresProductionize models and algorithms with assistance from data and software engineers as appropriate, and monitor model performance in the fieldWork within Quality Management System framework, creating system requirements for development and robust documentation of model architecture and training processesWork with internal and external groups to develop and execute protocols for assessing clinical performance of SaMD featuresCollaborate with software and regulatory teams to design and implement testing frameworks for SaMD featuresConduct research on specific health and physiological problems and integrate clinical research into the development of algorithmsCollaborate with scientific and medical advisors as needed to ensure we are interpreting the data in a scientifically accurate and medically responsible wayPeriodically serve as the on-call data scientist to respond in real time to incidents affecting production servicesReports to the Director of Data Science for Health, Sleep & Research
QUALIFICATIONS:

Bachelor’s Degree in Statistics, Data Science, Applied Mathematics, Computer Science or a related field. Master’s or PhD preferred4+ years of full-time professional experience in a related area, applying advanced mathematical and statistical techniquesExperience working on SaMD applications, including defining and implementing software requirements, documenting training processes,  and developing within a quality management systemExperience deploying services and maintaining live code through logging and monitoring within a production environmentStrong python programming skills and substantial experience with scientific python packagesExperience working with processed physiological time series data such as that from PPG, ECG, or EEG sensors is a plusJoin us in pushing the boundaries of wearable technology and positively impacting people’s lives!This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility