Algorithm Scientist
Oura · Hybrid - San Francisco, California · US
Health Tech
Hybrid
Not yet analysed
Demand80
Career growth85
Healthcare fit40
Remote potential50
5-year outlook
Competitive for senior algorithm scientists in health tech, with strong growth potential as wearable and digital health markets expand. Exact figures depend on experience and equity, but likely above average for tech roles.
Clinical license
Not required
Applicant reach
narrow
Seniority
mid
Employment type
–
Date found
2026-09-14
Intelligence details
Why this is worth applying to
Clinicians with strong quantitative and programming backgrounds (e.g., biomedical engineering, data science) should consider this role for its high clinical relevance and growth in health tech. However, it requires advanced technical skills and is not a typical non-clinical transition for most clinicians.
Who should apply
Clinicians with advanced degrees in biomedical engineering, signal processing, or machine learning, or those with substantial Python and data analysis experience in physiological research.
CV angle
Highlight clinical understanding of physiology and biosignals, any research experience with time-series data, and technical skills in Python and machine learning. Emphasize ability to translate clinical knowledge into algorithm design and validation.
Skills to highlight
- Python
- Signal processing
- Machine learning
- Time-series analysis
- Physiological knowledge
- Sensor data analysis
- Data visualization
- Cross-functional collaboration
Role summary
Algorithm Scientist at Oura develops and evaluates algorithms for multimodal biosensing (PPG, motion, temperature) to enhance health insights from wearable devices. This is a hands-on R&D role involving signal processing, machine learning, and collaboration with hardware/software teams.
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