Data Science Technical Lead (Health), Whoop, Mc Lean, VA


Whoop -
N/A
Mc Lean, VA, US
N/A

Data Science Technical Lead (Health)

Job description

At WHOOP, we're on a mission to unlock human performance. WHOOP empowers its members to perform at a higher level through a deeper understanding of their bodies and daily lives.As the Technical Lead for Health Data Science, you ll develop technology at the core of the business. In collaboration with clinicians, research scientists, and product managers, the Health Data Science team builds features that enable members to improve their health and better understand their bodies. Leveraging various data sources to combine WHOOP data with gold standard truth data, as well as drawing upon clinical theory and evidence, you will lead a team to design, train, and deploy machine learning algorithms to provide insights to members on a wide range of topics. Your team s work will span the spectrum from general wellness features to regulated Software as a Medical Device (SaMD) projects. You ll work closely with the software, regulatory, and clinical teams on designing, implementing, and maintaining processes for the development life cycle of SaMD applications, including defining design inputs, architecting and training clinical algorithms, developing testing frameworks, writing model documentation, and conducting clinical validation.RESPONSIBILITIES:

Lead a team of data scientists in developing algorithms that power member-facing features, managing a portfolio of projects in various stages of development at any given timeDevelop statistical and machine learning models to solve complex problems with data of varying structuresManage and mentor other data scientists on technical skills and paths for career growthConduct research on specific health and physiological problems and integrate clinical research into the development of algorithmsWork within Quality Management System framework, creating system requirements for development and robust documentation of model architecture and training processesCollaborate with software and regulatory teams to design and implement testing frameworks for SaMD featuresPeriodically 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 & ResearchQUALIFICATIONS:

Bachelor's Degree in Statistics, Data Science, Applied Mathematics, Computer Science or a related field. Master s or PhD preferred.5+ 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 packagesExcellent verbal and written communication skillsPrior management or mentorship experience is preferredExperience 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

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Full-time 2024-06-20
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