ashby
Senior Algorithm Validation Scientist
Whoop
Boston, USA
Full-time
Senior · 3+ years experience
Onsite
Discovered 2 weeks ago
pythonsql
Key Skills for This Role
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Full Job Posting
QUALIFICATIONS
- Advanced degree in Statistics, Biostatistics, Data Science, Applied Mathematics, Biomedical Engineering, Epidemiology, or a related quantitative discipline, or equivalent practical experience
- 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
- Proficiency analyzing large datasets using Python, R, or similar statistical programming tools, along with SQL and experience working with large-scale data environments
- Experience with physiological, wearable, biomedical sensor, time-series, or longitudinal data; experience evaluating machine learning or signal processing algorithms is a plus
- 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
- 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.
- 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. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
- 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. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
- Advanced degree in Statistics, Biostatistics, Data Science, Applied Mathematics, Biomedical Engineering, Epidemiology, or a related quantitative discipline, or equivalent practical
Preferred Qualifications
- 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
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
- Evaluate algorithm performance across demographic groups, physiological characteristics, environmental conditions, and behavioral contexts to identify performance differences, edge cases, and opportunities to improve algorithm quality and equity
- 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
- Partner with Algorithm Scientists, Machine Learning Engineers, Product Managers, Clinical Scientists, and Software Engineers to design validation protocols, establish statistical best practices, communicate findings to technical and non-technical audiences, and translate evidence into product improvements
About Whoop
Technology
WHOOP is a fitness and health wearable that tracks sleep, strain, and recovery through continuous monitoring, delivering personalized insights to optimize performance and healthspan.
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