Research Scientist

Oura Oura · Consumer · United States · Remote · Science

Research Scientist role focused on leveraging multimodal physiological and behavioral data to develop AI/ML-powered models and analytics for Oura's health products. The role involves end-to-end research projects, designing studies, applying advanced statistical and computational models, and translating insights into product solutions. Requires a PhD, strong publication record, and experience with statistical modeling and applied ML, particularly with time-series or physiological data.

What you'd actually do

  1. Lead and contribute to end-to-end research projects using multimodal physiological and behavioral data — including wearable time-series signals, continuous biomarkers (e.g. CGM), and biological samples (e.g. blood biomarkers) — from hypothesis through analysis to dissemination.
  2. Design rigorous studies and analyses to answer challenging scientific questions that can move the field forward, across sleep and circadian biology, women's health, cardiometabolic function, and physical activity.
  3. Develop and apply advanced statistical and computational models (e.g., mixed-effects models, time-series methods, ML/AI approaches) to answer meaningful health questions with real-world, noisy data.
  4. Translate evidence and research insights into actionable product solutions, helping partners understand what findings mean for members and future features.
  5. Build and maintain strong working relationships across Health Science, Data Science, and Product squads

Skills

Required

  • PhD in a relevant field
  • quantitative or computational field degree (BS or above)
  • first-authored publications or patent applications
  • statistical modeling
  • applied ML in Python or R
  • time-series or physiological data
  • predictive analytics
  • advanced statistical methods (mixed-effects models, survival analysis, Bayesian inference)
  • wearable or sensor-based data
  • digital health platforms
  • scientific communication skills

Nice to have

  • domain knowledge in sleep & circadian biology, women's reproductive health, cardiometabolic health, movement and physical activity, longevity, neuroendocrinology, or immune function
  • product intuition
  • creative, hypothesis-driven thinking

What the JD emphasized

  • strong track record of first-authored publications in peer-reviewed journals
  • novel concepts, methods, or algorithms
  • applied ML

Other signals

  • Develop and apply advanced statistical and computational models (e.g., mixed-effects models, time-series methods, ML/AI approaches) to answer meaningful health questions with real-world, noisy data.
  • Translate evidence and research insights into actionable product solutions
  • Lead and contribute to end-to-end research projects using multimodal physiological and behavioral data