Research Scientist

Posted 25 days agoViewed

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📍 Location: United States

💸 Salary: 120000.0 - 168000.0 USD per year

🔍 Industry: Digital Health

🏢 Company: Oura👥 251-500💰 $75,000,000 Series D 4 months agoWearables Mobile Apps Health Care

🗣️ Languages: English

🪄 Skills: PythonSQLData AnalysisMachine LearningNumpyAlgorithmsPandasTime ManagementResearchData visualizationData modeling

Requirements:

PhD 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.
Proven track record of leading high-impact publications in health sciences, demonstrating expertise in study design, data interpretation, and translational research.
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.
Experience working in partnerships between industry and academia, fostering innovation and knowledge exchange.
Proven ability to translate scientific discoveries into practical applications, such as developing new methods, technologies, or innovations in health science.
Understanding of clinical trial processes and regulatory requirements, including FDA and IRB processes, ensuring compliance and effective study execution.

Responsibilities:

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

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