Senior Data Scientist

Komodo Health

12d • $162,000 - $219,000 • Hybrid

About The Position

At Komodo Health, our mission is to reduce the global burden of disease by leveraging data and innovative algorithms. We have built the Healthcare Map, the industry's largest and most complete view of the U.S. healthcare system. This foundation supports a suite of software applications that help clients unlock critical insights into patient behaviors, treatment patterns, and care gaps. We are driven by our values: be awesome, seek growth, deliver “wow,” and enjoy the ride. You will join a team of ambitious, supportive individuals passionate about our mission.

The Research team, within Komodo's Engineering organization, ensures the rigor and reliability of our data products' analytical and statistical methods. We operate at the intersection of engineering, data science, and health services research, developing and validating methodologies, enabling HEOR/RWE research, and applying AI to solve technical challenges. Our work is crucial to the trustworthiness of the insights Komodo delivers.

This role specifically focuses on advancing Komodo's projection methodology, which translates observed claims into market estimates. You will ensure these models perform well and earn customer trust. As a Data Scientist on the Research team, you will own projection model quality, evaluate performance where ground truth is scarce, engage with customers, and contribute to model design with engineering partners. Your work is central to how customers trust and act on Komodo's market-level insights.

Requirements

• Graduate training (MS/PhD) in Statistics, Data Science, or a related quantitative field, or equivalent applied experience
• 5+ years of industry experience applying statistical modeling and estimation to large-scale real-world healthcare data
• Deep familiarity with US healthcare claims data — the coding ecosystem (ICD, CPT/HCPCS, NDC), how drugs are billed across medical and pharmacy benefits, the distinction between open and closed data sources and its analytical implications, and how common data-generation and processing issues manifest in downstream analytics
• Experience evaluating model quality when ground truth is limited, with the creativity to design rigorous validation approaches under that constraint
• Strong diagnostic and critical-thinking skills: able to take an ambiguous question ("this number looks wrong"), form hypotheses, and systematically isolate root cause with minimal oversight
• Comfort engaging directly with customers on technical topics — listening well, explaining methodology accessibly, and maintaining credibility under scrutiny
• Working proficiency in SQL and in Python or R for large-scale data analysis and statistical modeling

Nice To Haves

• Direct experience with projection or extrapolation methodology — estimating population-level volumes from partial samples (e.g., sample-to-national projection, market sizing, weighting and calibration) — is a strong plus
• Experience with Bayesian statistics and its application to real-world estimation problems
• Fluency with AI-assisted development tools (coding copilots, agentic workflows) to accelerate analysis, prototyping, and documentation

Responsibilities

• Analyze large-scale Komodo healthcare data using SQL and Python or R to assess projection model inputs, outputs, and behavior across therapeutic areas and geographies
• Design and run evaluation studies — constructing benchmarks, consistency and uncertainty quantification — and build diagnostic tooling that makes model behavior fast to assess and debug
• Triage and investigate questions from customers and customer-facing teams; reproduce reported issues, form hypotheses, and isolate root causes through systematic analysis
• Prepare and deliver clear methodological explanations — briefs, walkthroughs, and direct customer discussions — that translate model mechanics into answers customers can act on
• Review and contribute to model code, specifications, and design documents in partnership with product engineering; validate changes before and after release
• Maintain methodology documentation and evaluation reports; track model behavior across data refreshes and releases, flagging emerging issues early

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