Senior Research Data Analyst
About The Position
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 accomplished… 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.
Requirements
- MS in Statistics, Biostatistics, Data Science, Public Health, Epidemiology, or a related quantitative field.
- 5+ 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.
Nice To Haves
- 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.
- Experience with health economic modeling, including Budget Impact Models (BIM) and Cost-Effectiveness Analysis (CEA).
- 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.
Responsibilities
- Architect 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.
- Lead the implementation of analytical plans featuring complex statistical modeling in R, aligning research objectives with appropriate methodological approaches to support HEOR/RWE studies.
- Maintain high-quality standards through rigorous documentation, best coding practices, quality control processes, and version control with Git throughout the study lifecycle.
- Produce publication-ready deliverables meeting industry standards for external clients.
- Present interim and final results to cross-functional stakeholders, incorporating feedback to refine analyses.
- Design and implement 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.
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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
