Senior Research Data Analyst

Senior Research Data Analyst

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
• 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

• 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