Whoop
Senior Algorithm Validation Scientist
Boston, MA · Senior
Sponsorship not specifiedDetected 15 days ago
PythonAlgorithmsSQLMachine LearningData ScienceStatisticsA/B TestingSignal ProcessingMedical DevicesExperimental DesignCommunicationCollaborationBiostatisticsEpidemiology
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odds of building a lasting career here
33Risky
Cap-exempt (no lottery)0
Sponsors this role66
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
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from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Context, not a finding about this posting: of this employer's 3 green-card filings in this occupation, 100% were for a worker who already held the job.
Files H-1B transfers
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About the role
- Interested in the role, but don't meet every qualification?
- WHOOP is an Equal Opportunity Employer and participates in E-Verify to determine employment eligibility.
- It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment.
Responsibilities
- Design and execute rigorous statistical analyses and validation studies to evaluate the accuracy, precision, reliability, robustness, and generalizability of physiological sensing algorithms against reference-standard measurements
- Develop equivalence and non-inferiority analyses for hardware revisions, manufacturing changes, algorithm updates, and other changes that may affect the member experience, defining appropriate performance metrics, confidence intervals, hypothesis tests, and uncertainty estimates
- Analyze experimental and observational production data to understand real-world algorithm behavior and draw defensible conclusions, applying approaches such as within-subject designs, difference-in-differences, matching, and other methods to account for confounding factors
- Develop reproducible analysis workflows and automated validation processes that enable analyses to be consistently repeated across new cohorts, hardware revisions, and algorithm releases
- Strong foundation in statistical inference, hypothesis testing, regression, experimental design, uncertainty quantification, and validation study design
- WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.
- WHOOP is seeking an Senior Algorithm Validation Scientist to join the Sensor Intelligence organization and help ensure our physiological sensing algorithms deliver accurate, equitable, and scientifically validated performance for our members.
- In this role, you will design rigorous statistical analyses and validation studies that evaluate algorithm performance throughout development and after deployment, translating complex real-world data into evidence that informs algorithm quality and product decisions.
- You'll partner closely with scientists, engineers, and product teams to understand algorithm behavior, quantify uncertainty, identify opportunities for improvement, and help ensure members receive accurate and trustworthy insights.
Requirements
- Advanced degree in Statistics, Biostatistics, Data Science, Applied Mathematics, Biomedical Engineering, Epidemiology, or a related quantitative discipline, or equivalent practical experience
- Proficiency analyzing large datasets using Python, R, or similar statistical programming tools, along with SQL and experience working with large-scale data environments
- Familiarity with advanced statistical methodologies such as mixed-effects models, Bayesian statistics, survival analysis, fairness and parity analysis, or related approaches
- Strong communication and collaboration skills, with the ability to translate complex statistical findings into clear conclusions and recommendations for both technical and non-technical stakeholders
- 3+ years of experience applying statistical methods to complex experimental or observational datasets, ideally within healthcare, medical devices, wearables, digital health, consumer technology, or a related field
- Strong foundation in statistical inference, hypothesis testing, regression, experimental design, uncertainty quantification, and validation study design; experience with equivalence, non-inferiority, causal inference, method-comparison, or related approaches is a plus
- Experience with physiological, wearable, biomedical sensor, time-series, or longitudinal data; experience evaluating machine learning or signal processing algorithms is a plus
- Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.
Nice to have
- experience with equivalence, non-inferiority, causal inference, method-comparison, or related approaches is a plus
- Experience with physiological, wearable, biomedical sensor, time-series, or longitudinal data
Benefits
- experience evaluating machine learning or signal processing algorithms is a plus
Company info
- At WHOOP, we're on a mission to unlock and inspire performance for life.
- 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.
This listing is sourced directly from Whoop's careers page and normalized into a canonical job model.