Job overview:

Reporting to Omada's Senior Director, Clinical & Translational Research, the Senior Clinical Research Scientist is part of the Clinical & Translational Research team. This role is responsible for conceptualizing research questions and study designs; analyzing and interpreting data from multiple sources, including internal member-level data, external EHR data, healthcare claims, survey data, and clinical trial databases; and communicating results through peer-reviewed manuscripts, abstracts, white papers, value dossiers, and other internal and external reports.

This role will also serve as a key scientific partner in generating clinical, economic, and health outcomes evidence that demonstrates the value of Omada's programs to members, customers, and other external stakeholders. In addition to core clinical and translational research responsibilities, this role will have a strong focus on health economics and outcomes research (HEOR), including cost-effectiveness, budget impact, utilization, and return on investment analyses to support product strategy, customer value propositions, and commercial growth.
Your impact:

• Design and conduct studies and analyses to generate high-quality evidence for Omada's programs by writing detailed evaluation plans and statistical analysis plans, performing advanced statistical analyses, and interpreting and summarizing results.
• Design studies that incorporate mixed methods, integrating quantitative and qualitative data to assess clinical outcomes, member experience, engagement, and implementation effectiveness.
• Lead or support HEOR analyses, including cost-effectiveness, cost-offset, budget impact, utilization, and return on investment studies across Omada's lines of business and condition areas.
• Develop evidence packages that connect clinical outcomes to economic value for health plans, employers, health systems, and other strategic customers.
• Analyze medical and pharmacy claims, EHR, laboratory, biometric, and program engagement data to quantify impact on utilization, total cost of care, quality measures, and member outcomes.
• Partner with Clinical Strategy, Commercial, Product, Finance, and Market Access teams to translate research findings into compelling customer-facing stories, value narratives, and commercialization assets, establishing recurring cross-functional forums and decision touchpoints where HEOR insights inform strategy and influence diverse internal and external stakeholders.
• Disseminate findings through peer-reviewed manuscripts, abstracts, conference presentations, white papers, dossiers, and commercial evidence materials.
• Serve as a representative for the Clinical & Translational Research team in cross-functional settings, demonstrating strong scientific judgment and the ability to align evidence generation with organizational priorities.
• Support the broader research program by clearly communicating how study findings advance Omada's strategic goals, scientific leadership, and market differentiation.
• Contribute to studies that assess the clinical effectiveness, real-world effectiveness, and economic value of digital health behavior change programs for chronic conditions such as diabetes, hypertension, obesity, and musculoskeletal conditions.
• Collaborate with cross-functional program squads to design experiments and quality improvement initiatives that improve engagement, clinical outcomes, healthcare utilization, and value realization using evidence-based behavioral science approaches.
• Help shape Omada's HEOR roadmap by identifying priority evidence gaps, study opportunities, and publication strategies that strengthen external credibility and commercial readiness, leading department-level HEOR and evidence-generation initiatives in partnership with the Senior Director and cross-functional leaders.
• Build a culture of transparency and scientific rigor within the Clinical & Translational Research team by clearly communicating HEOR objectives, evidence priorities, and study findings, and regularly connecting the team's work to Omada's mission and strategic goals.

About you:

You are passionate about understanding the clinical and economic impact of digital health behavior change programs on preventing and treating chronic disease and improving healthcare delivery. You bring strong scientific rigor, analytic depth, and a clear understanding of how outcomes evidence supports customer adoption, payer credibility, and business growth.
To be successful, you will need:

• 10+ years relevant experience with a PhD, DrPH, PharmD, MD, ScD, or equivalent advanced training in health economics, epidemiology, biostatistics, health services research, outcomes research, psychology, public health, data science, or a related field.
• Demonstrated experience designing and executing HEOR, real-world evidence, or health services research studies.
• Strong subject matter expertise in claims data, health plan quality measures, chronic disease, health behavior, AI fluency and agency and/or healthcare delivery transformation.
• Experience with statistical and analytic software such as SAS, STATA, SQL, R, Python, or equivalent tools.
• Strong SQL skills and the ability to work with large, complex healthcare datasets end to end, from extraction and cleaning through analysis, interpretation, and communication.
• 3+ years of healthcare analytics experience, including experience with medical and pharmacy claims, EHR data, and other real-world data sources.
• Experience evaluating healthcare utilization, total cost of care, quality performance, and economic outcomes.
• Familiarity with common HEOR methods such as causal inference, comparative effectiveness research, propensity score methods, difference-in-differences, cost analyses, budget impact modeling, and cost-effectiveness analysis.
• Ability to synthesize complex findings into clear, decision-oriented insights for scientific, clinical, and commercial audiences.

To stand out:

• Digital health industry experience
• Experience with Tableau and/or similar BI tool
• Experience working on chronic disease research (e.g., diabetes, hypertension, MSK)
• Passionate about improving health behaviors and reducing the incidence, prevalence, and severity of chronic diseases
• Experience in digital health, virtual care, or chronic condition management.
• Experience building economic models, value frameworks, payer-facing evidence decks, or other market access materials.
• Experience working on cardiometabolic or chronic disease research, including diabetes, obesity, hypertension, or musculoskeletal conditions.
• Experience publishing HEOR or real-world evidence studies in peer-reviewed journals or presenting at relevant scientific meetings.
• Experience using Tableau or similar BI tools to communicate outcomes and economic insights.
• Familiarity with employer, health plan, Medicare Advantage, and risk-based care use cases for digital health evidence.
• Passion for improving health behaviors and reducing the incidence, prevalence, severity, and cost burden of chronic disease.

Benefits:

• Competitive salary with generous annual cash bonus
• Equity grants
• Employee stock purchasing plan (ESPP)
• Remote first work from home culture
• Flexible Time Off to help you rest, recharge, and connect with loved ones
• Generous parental leave
• Health, dental, and vision insurance (and above market employer contributions)
• 401k retirement savings plan
• Lifestyle Spending Account (LSA)
• Mental Health Support Solutions
• ...and more!

Below is a summary of salary ranges, by geographic zone, for this role*. These ranges represent a good faith estimate of the minimum and maximum base salary for the position in that zone at the time of posting. Please refer to this resource for detail on zone designations.

Zone 1: $165,600 - $207,000

Zone 2: $158,400 - $198,000

Zone 3: $144,000 - $180,000

Please note that zones may be updated as market data changes but we will honor the range applicable to your zone (which is determined by your location) as of your application date.

*The actual offer, including the compensation package, will be within the posted range for the relevant zone and will be determined based on multiple factors, such as the candidate's skills and experience, and other business considerations such as internal equity.

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