Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. Weve helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles.

Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office.

We have offices in San Francisco and San Diego 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. This is a remote US role with a slight preference for candidates based in San Francisco, San Diego, or Boston.

We are looking for a Research Scientist to join the Oura Science Clinical Research Team. Our mission is to drive scientific innovation by designing and executing rigorous clinical research studies, analyzing complex biobehavioral datasets, and generating evidence-based insights to advance science at Oura. Grounded in a deep understanding of the scientific foundations of health, disease, and physiological processes, we push the boundaries of research to uncover novel biomarkers and health insights. Additionally, we are committed to translating behavioral science into actionable insights, empowering individuals to make informed decisions that improve their health and wellness. Our team ensures the scientific validity and clinical relevance of our products, playing a critical role in supporting product development, regulatory approval, and real-world applications. By collaborating with researchers, healthcare professionals, and industry partners, we bridge the gap between cutting-edge science and practical health solutions, enhancing the impact of wearable technology on global health and well-being.

What you will do:

Cross-Functional Collaboration: Work closely with multidisciplinary teams to provide data-driven insights that support scientific research and product R&D.
Data Analysis & Interpretation: Analyze and interpret complex data from wearable devices to derive meaningful health insights, particularly in sleep & circadian, stress and activity, cardiometabolic health, and womens reproductive health.
Experimental Design & Validation: Lead the planning of experimental designs for clinical validation studies, ensuring robust methodologies for data collection and statistical analysis.
External Research Partnerships: Identify, establish, and manage collaborations with academic institutions, healthcare organizations, and industry partners to drive scientific research, validation studies, and innovation.
Clinical Science Expertise: Provide critical clinical science expertise across company needs, supporting stakeholders in making evidence-based decisions.
Scientific Dissemination: Contribute to research papers, patents, and reports while presenting findings at scientific conferences and engaging in knowledge translation.
Industry & Scientific Awareness: Stay informed on the latest advancements in digital health, scientific literature, healthcare to drive evidence-based product development and innovation.

We would love to have you on our team if you have:

PhD in Relevant Fields: Doctorate in Psychology, Psychophysiology, Psychobiology, Behavioral Sciences, Clinical Neuroscience, Digital Health, with a focus on areas such as sleep & circadian science, cardiometabolic health, stress & recovery, and women’s health.
Deep Scientific Research Skills & Publications: Proven track record of leading high-impact publications in health sciences, demonstrating expertise in study design, data interpretation, and translational research.
Advanced Statistical Analysis: Expertise in applying statistical methods for analyzing complex datasets using Python (and potentially R), including time-series analysis, regression modeling, machine learning, and Bayesian approaches. Strong experience in handling and interpreting large-scale time-series bio-behavioral data, including physiological, behavioral, and digital health metrics, leveraging Python libraries such as Pandas, NumPy, SciPy, Statsmodels, Scikit-learn, and R packages like tidyverse, lme4, and brms for advanced analytics.
Experience coding in Python (and potentially R): Ability to use Python for data analysis, including knowledge of libraries such as Pandas, NumPy, SciPy, Matplotlib, Seaborn, and Scikit-learn.
Passionate, Adaptable, and Self-Driven: Thrives in fast-paced environments, taking initiative and working autonomously while remaining flexible and solution-oriented in the face of evolving challenges.

Desired experience

Industry-Academia Collaboration: Experience working in partnerships between industry and academia, fostering innovation and knowledge exchange.
Research & Development (R&D): Proven ability to translate scientific discoveries into practical applications, such as developing new methods, technologies, or innovations in health science.
Clinical & Regulatory Expertise: Understanding of clinical trial processes and regulatory requirements, including FDA and IRB processes, ensuring compliance and effective study execution.