Designing evidence frameworks and validating algorithms that link wearable sensor data to meaningful clinical outcomes (e.g., cardiovascular, metabolic, and mental health indicators).
Developing models to assess the impact of sleep, recovery, and activity patterns on population-level health and individual well-being.
Partnering with clinical researchers to design, analyze, and interpret studies that validate and communicate the health and economic impact of wearable-derived metrics
Improving signal extraction from physiological time-series data (e.g., HRV, sleep staging, temperature) to make them more clinically interpretable.
Working cross-functionally with product, research, and clinical teams to translate scientific insights into product features and healthcare applications.
Contributing to publications and presentations that advance the clinical credibility of wearable-derived insights.
Requirements
3+ years of relevant work experience, ideally with exposure to clinical or health outcomes research, as a data scientist, research scientist, or ML engineer (including end-to-end deployment of models into research or product settings). Have a PhD in biomedical engineering, electrical engineering, biostatistics, computer science or a related field, OR a Master degree in related fields with 3+ years of relevant work experience is preferred.
Strong experience with time-series physiological data (e.g., heart rate, HRV, respiration, sleep, actigraphy) and/or clinical datasets.
Strong proficiency in SQL and data wrangling, with the ability to build and maintain robust research-grade data pipelines.
Familiarity with end-to-end development on cloud platforms (AWS or similar) for scaling data workflows.
Proven ability to collaborate with clinical researchers, interpret study protocols, and work with real-world evidence datasets.
Familiarity with regulatory standards for digital health validation (e.g., FDA, EMA, HIPAA).
Background in Value Based Care/Population Health data and metrics including Healthcare Effectiveness Data and Information Set (HEDIS) and similar reporting across quality and services for patient, preventive care, chronic condition management including interventions, benchmarking, and quality improvements
Background in EHR and clinical, provider, and payor claims data
Benefits
Competitive salary and equity packages
Health, dental, vision insurance, and mental health resources
An Oura Ring of your own plus employee discounts for friends & family
20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
Paid sick leave and parental leave
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
time-series data analysisalgorithm validationmodel developmentPythonSQLdata wranglingcloud platformsdata pipelinessignal extractionclinical data interpretation