Note: The job is a remote job and is open to candidates in USA. Komodo Health is dedicated to reducing the global burden of disease through smarter use of data. The Senior Research Data Analyst role involves designing and implementing data processing and analysis programming pipelines for Life Science/HEOR/RWE research studies, leveraging the Komodo Healthcare Map.
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
Skills
- 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
- 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
Benefits
- Performance-based bonuses as determined in the Company’s sole discretion and in accordance with a written agreement or plan
- Eligible for equity awards
- 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
Company Overview
Company H1B Sponsorship