Note: The job is a remote job and is open to candidates in USA. Komodo Health is a healthcare intelligence company that uses real-world patient data, innovative algorithms, and AI to generate insights for healthcare stakeholders. The Staff Consultant will lead client-facing HEOR and real-world evidence research engagements, design and execute rigorous analyses, translate findings into actionable recommendations, and support adoption of Komodo’s Marmot AI platform.
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 — presenting findings, navigating questions in real time, and adjusting analysis based on client feedback
- Distill complex datasets into clear, actionable insights and communicate them through reports, presentations, and dialogue tailored to both technical and executive audiences
- Collaborate with cross-functional teams (product, data science, clinical, sales) to integrate research insights into product development and strategy
- Evaluate and pilot new AI tools — including providing enablement and specialist support for Marmot — to improve research speed, quality, and client responsiveness, while staying current on emerging methodologies and technologies
Skills
- 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 leading dialogue with client stakeholders, managing expectations, and translating ambiguous questions into a clear research plan
- 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: hands-on experience using AI/LLM tools (e.g., ChatGPT, Copilot, Claude, Gemini, internal AI assistants) to accelerate research and analysis, or a demonstrated track record of quickly learning and adopting new AI tools
- Strong written and verbal communication skills, with the ability to distill complex findings into clear, actionable insights for both technical and executive audiences
- Proven track record of leading and executing research projects from inception to completion
- Experience working with real-world healthcare data sources (e.g., electronic health records, claims data)
- Experience with economic modeling, including budget impact, cost-effectiveness, and cost-utility analysis
- 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
Benefits
- Performance-based bonuses as determined in the Company’s sole discretion and in accordance with a written agreement or plan
- Equity awards
- Comprehensive health, dental, and vision insurance
- Flexible time off and holidays
- 401(k) with company match
- Disability insurance and life insurance
- Leaves of absence in accordance with applicable state and local laws and regulations and company policy
- Hybrid work model with hubs in San Francisco, New York City, and Chicago
- Flexibility in work setup, including roles that can be performed from anywhere in the country
Company Overview
Company H1B Sponsorship