We’re seeking a Machine Learning Data Scientist to bridge cutting-edge research and real-world health applications. This role centers on analyzing large-scale research and clinical datasets, developing and validating deep learning models for wearable sensor data, and collaborating with cross-functional teams to translate findings into production features and scientific publications. Your work will directly contribute to improving health outcomes for Oura members and advancing scientific understanding of human physiology through wearable data.

This is a remote US role with a strong preference for candidates based on the East coast.

We have offices in San Francisco, San Diego and Los Angeles for those who prefer hybrid or office settings. Oura employees in other major cities (like Boston and New York) occasionally gather informally at local co-working locations.

What you will do:

• Analyze research and clinical datasets to evaluate algorithm performance and uncover new physiological and health insights.
• Collaborate with scientists, clinicians, engineers, and product teams to translate research advances into production features that bring value to Oura members.
• Drive scientific publications and validation studies that advance understanding of human physiology and support Oura’s mission to improve health.
• Research, prototype, and implement deep learning models for large-scale physiological time-series data (e.g., PPG, motion, temperature), including foundation model approaches.

• Build and optimize scalable data generation, training and evaluation pipelines for physiological modeling.

We would love to consider you for this role if you have:

• A PhD or MSc with 3+ years of industry experience, in biomedical engineering, machine learning, or a related field. Experience in healthcare or health technology is preferred.
• Hands-on experience developing and evaluating deep learning models for time-series or sensor data, ideally involving physiological or wearable signals.
• Strong proficiency in Python and core ML frameworks such as PyTorch, TensorFlow, or scikit-learn.
• Solid foundation in probability, statistics, and experimental design, with experience interpreting results from large-scale research or clinical studies.
• Excellent scientific writing skills and a record of first-author, peer-reviewed publications.
• Collaborative mindset, ability to work autonomously, and comfort operating in an interdisciplinary, globally distributed team.
• Flexibility to adjust schedules for occasional meetings across time zones with European colleagues, and willingness to travel for onsite meetings a few times per year.

Benefits

At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health.

What we offer:

• Competitive salary and equity packages
• 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
• Paid sick leave and parental leave

Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.

• Region 1 $142,000 - $178,000
• Region 2 $130,000 - $163,000
• Region 3 $120,000 - $150,000

A recruiter can determine your zones/tiers based on your US location.

We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Missouri (MO), Nebraska (NE), South Dakota (SD), Vermont (VT), West Virginia (WV), and Wisconsin (WI)