Senior Health Economics and Outcomes Scientist

Virta Health is on a mission to reverse metabolic disease in one billion people. Current treatment approaches aren’t working—over half of US adults have either type 2 diabetes or prediabetes, and obesity rates are at an all-time high. Virta is changing this by helping people reverse their metabolic condition through innovations in technology, personalized nutrition, and virtual care delivery reinvented from the ground up. We have raised over $350 million from top-tier investors, and partner with the largest health plans, employers, and government organizations to help their employees and members restore their health and take back their lives. Join us on our mission to reverse metabolic disease in one billion people. As a Senior HEOR Scientist at Virta, you will play a pivotal role in proving and improving real-world health and economic outcomes for millions of patients. You will bridge cutting-edge outcomes research with commercial strategy by analyzing rich clinical and claims datasets to generate publication-grade evidence. Working cross-functionally across the data science, sales, marketing, and product teams, your work will directly shape how health plans, employers, and policy makers perceive and adopt virtual metabolic care. RESPONSIBILITIES - Lead the strategy, development, and execution of real-world evidence (RWE) programs and health economics models to demonstrate Virta's clinical and economic value proposition. - Translate complex real-world data (RWD) from health plans, employers, and external data warehouses into actionable operational and health economic insights that drive commercial growth, market adoption, and product innovation. - Publish findings in peer-reviewed scientific journals and present scientific evidence at national/international conferences, client presentations, and internal meetings. - Partner cross-functionally with sales, marketing, and product teams to integrate real-world evidence into commercial messaging, clinical care, and product development. - Serve as an internal subject matter expert, teaching HEOR methodologies to colleagues and advancing organizational research capabilities. 90 DAY PLAN Within your first 90 days at Virta, we expect you will do the following: - First 30 Days: Onboard with the Clinical Research and Data Science teams, establish an understanding of Virta's data pipeline and existing evidence, and review current research compliance and privacy protocols. - First 60 Days: Take ownership of a claims dataset analysis project, collaborate with cross-functional stakeholders (Sales/Marketing) to align on evidence needs, and draft an updated HEOR strategy roadmap. - First 90 Days: Complete initial real-world evidence analyses, begin drafting a peer-reviewed publication or conference submission, and establish repeatable, AI-enabled workflows to streamline research and reporting tasks. MUST-HAVES - Master’s degree or equivalent (PhD preferred) in Health Economics, Public Health, Pharmacoeconomics, or a related field. - 5+ years of experience analyzing claims/clinical datasets, publishing in peer-reviewed journals, and presenting economic outcomes of clinical programs. - 3+ years of business experience in a startup or high-growth environment, with proven ability to translate scientific evidence for commercial and marketplace applications. - Proficiency in SQL, Python, R, or SAS for conducting advanced claims analysis and data modeling. - Successfully designed and implemented repeatable AI-enabled workflows that address team bottlenecks and improve efficiency. For more information about AI usage in our hiring process, see Virta's AI Interview Resources page. VALUES-DRIVEN CULTURE Virta’s company values drive our culture, so you’ll do well if: - Y