About the role
United States
We Breathe Life Into Data
At Komodo Health, our mission is to reduce the global burden of disease. We built the Healthcare Map — the industry's largest, most complete, precise view of the U.S. healthcare system — by combining de-identified, real-world patient data with innovative algorithms and decades of clinical experience.
The Opportunity at Komodo Health
Our Evidence Intelligence team applies health economics and outcomes research (HEOR) methods to real-world healthcare data, generating insights that shape decisions for the country's leading life sciences, provider, and payer organizations. We work at the intersection of clinical science, data analytics, and client strategy — increasingly powered by AI that lets us pair speed with quality. This role also includes enablement and specialist support for Marmot, Komodo's AI platform.
The Senior Research Consulting Manager is both a rigorous analytic lead and a trusted advisor to clients: someone equally comfortable designing a study, defending a methodology, and sitting across the table from a client stakeholder to translate findings into action.
Looking back on your first 12 months at Komodo Health, you will have…
Led multiple client-facing research engagements from scoping through delivery, serving as the primary point of contact and trusted advisor for key stakeholders.
Built and maintained strong, consultative relationships with client teams.
Developed innovative methodologies for analyzing real-world healthcare data, incorporating AI/ML and generative AI tools.
Established yourself as a subject matter expert in specific therapeutic areas or healthcare domains.
Served as a go-to specialist for Marmot and AI-native workflows more broadly.
You will accomplish these outcomes through the following responsibilities…
Design and execute research studies using real-world healthcare data sources, applying both traditional statistical methods and emerging AI-enabled techniques.
Lead client conversations and working sessions.
Distill complex datasets into clear, actionable insights.
Collaborate with cross-functional teams (product, data science, clinical, sales).
Evaluate and pilot new AI tools — including providing enablement and specialist support for Marmot.
What you bring to Komodo Health (required):
PhD or equivalent advanced degree in a quantitative field (e.g., epidemiology, biostatistics, health economics), or equivalent practical experience.
Minimum of 5 years of experience in healthcare research or analytics, preferably in a client-facing consulting or industry setting.
Demonstrated client relationship management skills.
Experience conducting end-to-end RWE/HEOR studies, from design through dissemination using descriptive and sophisticated analysis (e.g., PSM, IPTW, and related causal inference methods).
AI-native fluency or a strong willingness to adapt.
Strong written and verbal communication skills.
Proven track record of leading and executing research projects from inception to completion.
Additional skills and experience we'd prioritize (nice to have)…
Experience working with real-world healthcare data sources (e.g., electronic health records, claims data).
Knowledge of healthcare industry trends, including regulatory, market, and AI-adoption dynamics.
Familiarity with advanced statistical methods for analyzing longitudinal or hierarchical data.
Experience building or using AI-powered analytics pipelines or prompt-based research tools.
San Francisco Bay Area and New York City: $160,000 - $195,000 USD
All Other US Locations: $139,000 - $175,000 USD
Where You'll Work
Komodo Health has a hybrid work model with hubs in San Francisco, New York City, and Chicago. Roles vary — some can be performed from anywhere in the country, others are scoped to a specific region, and some are based near one of our hubs.
Komodo Health provides equal employment opportunities to all applicants and employees. We prohibit discrimination and harassment of any type with regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
Minimum requirements
- PhD or advanced degree in quantitative field or equivalent experience with 5+ years in healthcare research/analytics, client-facing preferred.
- Proven experience leading end-to-end RWE/HEOR studies using advanced causal inference methods.
- Strong client relationship management, communication skills, and AI-native fluency or adaptability.
This listing was parsed by AI and may not be complete. Check the official posting on Komodo Health's site for the most accurate information.