Staff Consultant, Research

Komodo Health

5d • $139,000 - $195,000 • Hybrid

About The Position

The Evidence Intelligence team at Komodo Health applies health economics and outcomes research (HEOR) methods to real-world healthcare data, generating insights that shape decisions for leading life sciences, provider, and payer organizations. This role operates at the intersection of clinical science, data analytics, and client strategy, increasingly leveraging AI for speed and quality. The Senior Research Consulting Manager acts as both an analytic lead and a trusted client advisor, comfortable with study design, methodology defense, and translating findings into actionable strategies. The role's purpose is to advance Komodo Health's mission of empowering healthcare stakeholders with data-driven, AI-augmented solutions to improve patient outcomes and healthcare delivery. This includes providing enablement and specialist support for Komodo's AI platform, Marmot.

Requirements

• 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.

Nice To Haves

• 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.

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.

Benefits

• 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
• performance-based bonuses
• equity awards

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree