Komodo Health is looking to reduce the global burden of disease by designing and implementing data processing and analysis programming pipelines for Life Science/HEOR/RWE research studies utilizing the Komodo Healthcare Map
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)
- Advanced SQL skills (dbt, query optimization)
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
Other
- BS/MS degree in a quantitative field
- 3+ years of industry experience
- Ability to collaborate with cross-functional teams
- Ability to manage concurrent projects with competing deadlines
- Travel requirements not specified, but role may be remote or based in a specific region
