Key skills
PythonRCommunication
About this role
Role Overview
- 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).
Tech Stack
- Python
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