Clinical Research Staff Scientist, Real World Evidence

We are looking for a Clinical Research Staff Scientist, Real World Evidence to play a key role in generating the evidence that connects Oura's validated health signals to outcomes, healthcare utilization, and cost savings.

• →Reporting to the Director, Clinical Outcomes Research, design and drive real world evidence studies, including retrospective cohort analyses, claims-linked outcomes studies, PRO studies, and member surveys, owning each from research question through final deliverable.
• →Identify evidence opportunities across Oura's clinical and commercial portfolio, spanning health, healthcare utilization, and cost outcomes as well as workforce and productivity outcomes relevant to employer partners, and develop study proposals with clear rationale, endpoints, and timelines.
• →Partner with data science to structure analytic datasets from Oura member data and linked claims data sources, producing outputs that are rigorous enough to publish and clear enough to act on.
• →Serve as a scientific point of contact for external research partners, including commercial and employers customers, data providers, and academic collaborators, representing Oura's evidence work in cross-organizational study planning and execution. 
• →Design studies that demonstrate the health outcomes and cost impact of proactive, data-driven care.
• →Shape research findings into outputs for diverse audiences — including payer briefs, white papers, and partner-facing evidence summaries — in collaboration with cross-functional teams.
• →Support IRB submissions and data use agreements in coordination with Research Operations.
• →Contribute to abstracts/publications and present findings at conferences to advance the clinical credibility of Oura's evidence base.

This is a remote US role.

We would love to consider you for this role if you have:

• Master's degree or PhD in Epidemiology, Public Health, Health Outcomes, or a related field; 8+ years of experience in real world evidence research, preferably in wearables.
• Demonstrated expertise in observational study design and RWE methods, including retrospective cohort analyses, causal inference, and claims-based research.
• Deep, hands-on experience generating evidence from wearable or connected-device data as a primary data source, including the measurement and analytic considerations specific to continuous physiological signals.
• Experience with additional real world data sources, including claims, EHR, and registries, and familiarity with data linkage platforms.
• Experience with PRO instrument selection and survey study design.
• Strong scientific communication skills, with a track record of producing outputs that reach and resonate with clinical, commercial, or payer audiences.
• Proven ability to drive a body of evidence to completion independently and work cross-functionally in a fast-moving environment.
• Familiarity with health economics and outcomes research (HEOR) methods, including cost and healthcare utilization analyses and economic modeling, is a plus. 

Preferred qualification:

• Experience generating outcomes or ROI evidence for care-delivery or value-based care models is a plus