[Hiring] Senior Health Economics and Outcomes Scientist @Virta Health

Role Description

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

• 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.

Qualifications

• 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.

Values-driven culture

• You put people first and take care of yourself, your peers, and our patients equally.
• You have a strong sense of ownership and take initiative while empowering others to do the same.
• You prioritize positive impact over busy work.
• You have no ego and understand that everyone has something to bring to the table regardless of experience.
• You appreciate transparency and promote trust and empowerment through open access of information.
• You are evidence-based and prioritize data and science over seniority or dogma.
• You take risks and rapidly iterate.

Compensation

Virta has a location-based compensation structure. Starting pay will be based on a number of factors and commensurate with qualifications & experience. For this role, the compensation range is $172,000-222,000/year.

Additional Information

As part of your duties at Virta, you may come in contact with sensitive patient information that is governed by HIPAA. Throughout your career at Virta, you will be expected to follow Virta's security and privacy procedures to ensure our patients' information remains strictly confidential. Security and privacy training will be provided.

As a remote-first company, our team is spread across various locations with office hubs in Denver and San Francisco.

Virta uses Ashby as its applicant tracking system, which incorporates AI-powered tools in certain aspects of the recruiting process; your data is not used to train AI models, and all final hiring decisions are made by Virta Health personnel.