ŌURA

Research Scientist

ŌURA

full-time

Posted on:

Location Type: Remote

Location: Remote • Alaska, Iowa, Mississippi, Montana, New York, South Dakota, Vermont, Virginia, West Virginia, Wisconsin • 🇺🇸 United States

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Salary

💰 $142,000 - $178,000 per year

Job Level

Mid-LevelSenior

Tech Stack

NumpyPandasPythonScikit-LearnSQL

About the role

  • Experimental Design: Lead the planning of experimental designs for clinical research studies—including observational, prospective, retrospective, and interventional study types—ensuring conceptual integrity and methodological rigor in data collection and statistical analysis, and leading IRB preparation, submission, and oversight.
  • 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 women's reproductive health.
  • Scientific Dissemination: Contribute to research papers, patents, and reports while presenting findings at scientific conferences and engaging in knowledge translation.
  • 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.
  • Cross-Functional Collaboration: Work closely with multidisciplinary teams to provide data-driven insights that support scientific research and product R&D.
  • Industry & Scientific Awareness: Stay informed on the latest advancements in digital health, scientific literature, healthcare to drive evidence-based product development and innovation.

Requirements

  • PhD in Relevant Fields: Doctorate in Psychology, Neuroscience, Behavioral or Health Sciences, Sleep and Circadian Biology, Exercise or Sport Science, Physiology, Cardiovascular or Metabolic Health, Endocrinology, Women’s Health, or Digital Health, with a focus on areas such as sleep & circadian science, cardiometabolic health, sport medicine, stress, 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, including IRB processes, data interpretation, and translational research.
  • Advanced Statistical Analysis and Programming: Proficient in Python (Pandas, NumPy, SciPy, Matplotlib, Seaborn, Statsmodels, scikit-learn), R (tidyverse, lme4, brms), and SQL for data extraction, processing, modeling, and visualization. Extensive experience analyzing large-scale time-series physiological and digital health data, integrating multimodal biobehavioral metrics to generate actionable insights.
  • 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.
Benefits
  • 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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
experimental designdata analysisstatistical analysisdata interpretationIRB processestranslational researchprogramminglarge-scale data analysistime-series analysisbiobehavioral metrics
Soft skills
leadershipcollaborationadaptabilityinitiativeproblem-solvingcommunicationflexibilityself-drivencritical thinkingknowledge translation
Certifications
PhD in PsychologyPhD in NeurosciencePhD in Behavioral SciencesPhD in Health SciencesPhD in Sleep and Circadian BiologyPhD in Exercise SciencePhD in PhysiologyPhD in Cardiovascular HealthPhD in Metabolic HealthPhD in Women's Health