Senior Algorithm Validation Scientist
Core
Design and execute rigorous statistical analyses and validation studies to evaluate the accuracy, precision, reliability, and generalizability of physiological sensing algorithms against reference-standard measurements.
Role type
Senior IC algorithm validation scientist
Builds
Evidence-based validation protocols and automated analysis workflows for physiological sensing algorithms
Domain
Digital health / Wearables / Biomedical engineering
Deliverable
production ML models
Required skills
Statistical inference, Hypothesis testing, Experimental design, Uncertainty quantification, Regression analysis, Equivalence/non-inferiority analysis, Causal inference, Mixed-effects models, Bayesian statistics, Time-series analysis
Preferred skills
Physiological sensor data analysis, Machine learning algorithm evaluation, Signal processing, Fairness and parity analysis, Large-scale data environments
Technologies
Python, R, SQL
Responsibilities
Design and execute validation studies to evaluate algorithm performance against reference standards; Develop equivalence and non-inferiority analyses for hardware and algorithm updates; Evaluate algorithm performance across demographic groups and environmental conditions; Analyze production data to understand real-world algorithm behavior; Develop reproducible analysis workflows and automated validation processes; Partner with scientists and engineers to translate evidence into product improvements (via careerplan.io/jobs/f22ec133-cfb9-486c-aee5-4b4ad0ca5691-senior-algorithm-validation-scientist-at-whoop)