Senior ML Data Scientist, Health Sensing
Oura · Remote - United States · US
Posted 60+ days ago
Clinical Data Science
Remote/Hybrid — check advert
Not yet analysed
Demand90
Career growth90
Healthcare fit75
Remote potential90
5-year outlook
Expect competitive compensation typical for senior data science roles in health tech, with strong growth potential as the company scales and the field of health AI expands.
Clinical license
Not required
Applicant reach
narrow
Seniority
senior
Employment type
–
Date found
2026-08-26
Intelligence details
Why this is worth applying to
This role is worth applying to for clinicians with a strong ML/data science background and a PhD in a relevant field, as it offers the chance to directly impact health products. However, it is not suitable for clinicians without these technical credentials.
Who should apply
Clinicians with a PhD in biomedical engineering, biostatistics, computer science, or related fields, and 3+ years of industry ML experience. Also relevant for those with deep healthcare domain knowledge and strong Python/SQL skills.
CV angle
Frame your clinical/healthcare experience as domain expertise in physiological signals, illness patterns, and patient data. Highlight any ML projects, time-series analysis, and cross-functional work with product and engineering teams.
Skills to highlight
- Python
- SQL
- Machine Learning
- Time-Series Analysis
- Statistical Analysis
- Model Deployment
- Cross-functional Collaboration
- Health Data Analysis
Role summary
Senior ML Data Scientist at Oura, responsible for developing and commercializing machine learning models for illness detection using wearable health data, with end-to-end ownership and cross-functional partnership.
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