Analyze large-scale wearable and physiological time-series data (e.g., sleep, activity, HR/HRV, temperature) to answer focused research questions in sleep, women’s reproductive health, cardiometabolic health, and movement.
Summarize results in figures, tables, and short written reports for internal stakeholders and potential external dissemination (e.g., abstracts, posters, manuscripts).
Collaborate with Health Science, Data Science, and Product partners to translate findings into clear, actionable insights relevant to Oura members and future product features.
Support literature reviews and contextualization of findings within current evidence to strengthen research narratives.

Requirements

Current PhD, Master’s, or advanced undergraduate enrollment in a relevant field (e.g., psychology, neuroscience, physiology, epidemiology, biostatistics, computer science, biomedical engineering, exercise/sport science, women’s health, cardiometabolic health, digital health).
Hands-on experience analyzing quantitative data in Python or R (time-series, longitudinal, or biobehavioral/physiological data strongly preferred).
Solid grounding in statistics (e.g., regression/mixed effects models, group comparisons, interaction analyses) and comfort working with noisy, real-world data.
Demonstrated interest in at least one of our focus areas: sleep & circadian, women’s reproductive health, cardiometabolic health, or movement / physical activity.
Strong scientific communication skills—able to synthesize results and clearly explain methods, assumptions, and limitations to both technical and non-technical audiences.
Prior research experience (e.g., lab, clinic, or digital health), contributions to manuscripts, or experience working with wearables (Oura or similar).

Benefits

Competitive salary
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 *prorated
Paid sick leave

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data analysisquantitative data analysisPythonRstatisticsregression modelsmixed effects modelsgroup comparisonsinteraction analysestime-series analysis

Soft Skills

scientific communicationsynthesis of resultsexplanation of methodscollaborationcontextualization of findingsresearch narrative developmentclear communicationinterpersonal skillsproblem-solvingcritical thinking