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Machine Learning Data Scientist

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: ŌURA
Full Time position
Listed on 2026-01-07
Job specializations:
  • Science
    Data Scientist, Clinical Research, Research Scientist
Salary/Wage Range or Industry Benchmark: 142000 - 178000 USD Yearly USD 142000.00 178000.00 YEAR
Job Description & How to Apply Below

Join to apply for the Machine Learning Data Scientist role at ŌURA
.

Our mission at Oura is to empower everyone to understand their inner potential. Our award‑winning products help our global community gain deeper knowledge of their readiness, activity and sleep quality by using the Oura Ring and its connected app.

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.

This is a remote U.S. role, but we prefer candidates based on the East Coast. Oura also has offices in San Francisco, San Diego and Los Angeles for hybrid or office settings.

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 optimise scalable data‑generation, training and evaluation pipelines for physiological modelling.
Qualifications
  • 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, Tensor Flow 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.

  • 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
Compensation
  • Region 1: $142,000 – $178,000
  • Region 2: $130,000 – $163,000
  • Region 3: $120,000 – $150,000

Oura is a proud equal‑opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status or any other characteristic protected by federal, state or local law.

We will not tolerate discrimination or harassment based on any of these characteristics.

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