Senior Research Data Analyst, HEOR/RWE

About Komodo Health

We Breathe Life Into Data 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

This role is critical to designing and implementing data processing and analysis programming pipelines for Life Science/HEOR/RWE research studies utilizing the Komodo Healthcare Map.

Looking back on your first 12 months at Komodo Health, you will have…

• Architected end-to-end programming pipelines for large-scale healthcare data extraction, transformation, and validation using SQL to power observational research studies leveraging Komodo Healthcare Map
• Led the implementation of analytical plans featuring complex statistical modeling in R, aligning research objectives with appropriate methodological approaches to support HEOR/RWE studies
• Maintained high-quality standards through rigorous documentation, best coding practices, quality control processes, and version control with Git throughout the study lifecycle
• Produced publication-ready deliverables meeting industry standards for external clients
• Presented interim and final results to cross-functional stakeholders, incorporating feedback to refine analyses
• Designed and implemented standardized programming modules to enhance research reproducibility and analytical efficiency across projects

You will accomplish these outcomes through the following responsibilities…

• Collaborate with cross-functional teams to design and execute observational research studies, by developing SQL data pipelines and R-based statistical analyses
• Validate analysis work, troubleshoot issues, and iterate on analytic approaches to ensure alignment with research protocols and study objectives
• Support internal tool development and contribute to publications to enhance Komodo's scientific presence

What you bring to Komodo Health:

• BS/MS in Statistics, Biostatistics, Data Science, Public Health, Epidemiology, or a related quantitative field
• 3+ years of industry experience developing production-grade SQL pipelines (querying, cleaning, transformation) for large-scale databases
• Proficient in R (preferred), Python, or SAS for statistical programming.
• Experience with Git version control and command-line workflows.
• Hands-on experience with administrative claims, EHR, or equivalent RWD. Familiarity with healthcare data models and U.S. medical coding systems (ICD-10, CPT, NDC).
• Experience collaborating with epidemiologists/SMEs to execute research studies, with a solid understanding of epidemiological principles
• Proven ability to implement statistical analysis (descriptive analytics, regression, hypothesis testing, and visualization).
• Adaptability to learn new tools and methods in fast-paced environments; ability to manage concurrent projects with competing deadlines

Additional skills and experience we’d prioritize (nice to have)…

• Advanced SQL skills (dbt, query optimization)