Staff Consultant, Research New

Komodo Health, Inc.; Northern (KY); On-site; USD 139,000 - 175,000; Full time

Job summary

Komodo Health, Inc. is seeking a Senior Research Consulting Manager to lead rigorous real-world evidence studies and advise healthcare clients. You will design studies, defend methodologies, and translate findings into actionable insights for executives and stakeholders.

The role emphasizes AI-enabled research and Marmot platform enablement within a cross-functional team. Applicants should have a PhD or equivalent in a quantitative field, 5+ years of healthcare analytics experience, and strong

Qualifications

• PhD or equivalent in a quantitative field (epidemiology, biostatistics, health economics) or equivalent practical experience.
• Minimum 5 years of healthcare research or analytics experience, client-facing preferred.
• Proven client relationship management and ability to translate questions into a plan.
• Experience conducting end-to-end RWE/HEOR studies with descriptive and causal methods.
• Fluency with AI-native tools and willingness to adopt new AI technologies.

Responsibilities

• Design and execute research studies using real-world healthcare data with traditional and AI-enabled methods.
• Lead client conversations and working sessions, presenting findings in real time.
• Distill complex datasets into clear, actionable insights for technical and executive audiences.
• Collaborate with product, data science, clinical, and sales teams to embed insights into strategy.
• Evaluate and pilot new AI tools, supporting Marmot enablement and fast research delivery.

Skills

Client relationship management

Research project leadership

Scientific data analysis

Communication skills

AI fluency

Education

PhD or equivalent

Tools

ChatGPT

Copilot

Claude

Gemini

Job description

At Komodo Health, our mission is to reduce the global burden of disease. And we believe that smarter use of data is essential to this mission. That’s why 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 Healthcare Map serves as our foundation for a powerful suite of software applications, helping us answer healthcare’s most complex questions for our partners. Across the healthcare ecosystem, we’re helping our clients unlock critical insights to track detailed patient behaviors and treatment patterns, identify gaps in care, address unmet patient needs, and reduce the global burden of disease.

As we pursue these goals, it remains essential to us that we stay grounded in our values: be awesome, seek growth, deliver “wow,” and enjoy the ride. At Komodo, you will be joining a team of ambitious, supportive Dragons with diverse backgrounds but a shared passion to deliver on our mission to reduce the burden of disease —and enjoy the journey along the way.

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, moving from data to decision faster than ever without compromising rigor, while collaborating closely with cross-functional teams to deliver impactful solutions to the industry's most pressing challenges. This role also includes enablement and specialist support for Marmot, Komodo's AI platform, as we help clients and internal teams put it to work.

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. This role exists to advance Komodo Health's mission of empowering healthcare stakeholders with data-driven, AI-augmented solutions that improve patient outcomes and healthcare delivery.

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 — proactively surfacing insights and shaping the ongoing research agenda through regular dialogue rather than one-off reports.
• Developed innovative methodologies for analyzing real-world healthcare data, incorporating AI/ML and generative AI tools to accelerate analysis and improve rigor.
• Established yourself as a subject matter expert in specific therapeutic areas or healthcare domains, recognized both internally and by clients.
• Served as a go-to specialist for Marmot and AI-native workflows more broadly, enabling clients and colleagues to adopt and get value from Komodo's AI tools while mentoring the team on new approaches.

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 — 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.

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 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.

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.

The pay range for each job posting reflects a minimum and maximum range of annual base pay that we reasonably expect to pay for this position within the US. We carefully consider multiple business-related factors when determining compensation, including job-related skills, work experience, geographic work location, relevant training and certifications, business needs and market demands.

The starting annual base pay for this role is listed below. This position may be eligible for performance-based bonuses as determined in the Company’s sole discretion and in accordance with a written agreement or plan. This role may also be eligible for equity awards. In addition, this role is eligible for benefits including, but not limited to, comprehensive health, dental, and vision insurance; flexible time off and holidays; 401(k) with company match; disability insurance and life insurance; and leaves of absence in accordance with applicable state and local laws and regulations and company policy.

San Francisco Bay Area and New York City:

$160,000 - $195,000 USD

All Other US Locations:

$139,000 - $175,000 USD

Komodo's AI Standard

At Komodo, we're not just witnessing the AI revolution – we're leading it. This is a pivotal moment in time, where being first to market with AI transforms industries and sets the bar. We've already established industry leadership in leveraging AI to revolutionize healthcare, and we expect every team member to contribute.AI here isn't optional; it's foundational. We expect you to integrate AI into your daily work – from summarizing documents to automating workflows and uncovering insights. This isn't just about efficiency; it's about making every moment more meaningful, building on trust in AI, and driving our collective success.

Join us in shaping the future of healthcare intelligence.
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. For hub-based Dragons, we're building intentional in-office rhythms alongside the flexibility that's core to how we work. Whatever your setup, expectations will always be clear before you join.

Equal Opportunity Statement

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.

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