Senior Research Data Analyst, HEOR/RWE

Summary

Join Komodo Health and contribute to our mission of reducing the global burden of disease by designing and implementing data processing and analysis pipelines for life science research studies. You will architect end-to-end programming pipelines using SQL and R, lead the implementation of analytical plans with complex statistical modeling, maintain high-quality standards through rigorous documentation, and produce publication-ready deliverables. This role involves collaborating with cross-functional teams, validating analysis work, supporting internal tool development, and presenting results to stakeholders. The ideal candidate possesses a BS/MS in a quantitative field, 3+ years of experience developing SQL pipelines, proficiency in R, experience with Git, and familiarity with healthcare data. Komodo Health offers a hybrid work model and a competitive total rewards package.

Requirements

• 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

Responsibilities

• 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
• 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

Preferred Qualifications

• Advanced SQL skills (dbt, query optimization)
• Experience with advanced observational study designs
• Extensive HEOR/RWE expertise on treatment pattern analysis, LoT, HCRU/cost analysis, synthetic control arm and patient outcome research
• Advanced statistical modeling experience in PSM, survival analysis, causal inference, and bootstrapping
• Contributions to peer-reviewed publications
• Exposure to RESTful APIs, R package development, or Shiny apps

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
• Medical, dental and vision coverage
• 401k Retirement Plan
• Prepaid legal assistance
• Paid time off for vacation, sickness, holiday, and bereavement
• 100% company-paid life insurance and long-term disability insurance