Health Research Data Scientist Intern at Oura

Oura

Remote - United States·7h ago

InternFull-timePythonRustAWSData ScienceGit

Salary Range

$24,225 - $32,775 /year

Estimated

This salary is estimated based on similar roles. The actual salary may vary.

About the Role

We are looking for a Summer Intern to join the Health Science team at Oura, working on project-specific analysis of wearable data across sleep, women’s health, cardiometabolic, and movement domains. This internship offers opportunities for scientific dissemination and lasts 3–4 months, with flexible start and end dates between May and September 2026.

Key Responsibilities

→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).