Senior Research Data Analyst (Healthcare)

TL;DR

Senior Research Data Analyst (Healthcare): Designing and implementing data processing and analysis pipelines for Life Science/HEOR/RWE research studies utilizing the hirify.globalcare Map with an accent on large-scale SQL extraction and statistical modeling in R. Focus on architecting end-to-end programming pipelines, implementing complex statistical designs, and producing publication-ready deliverables.

Location: Must be based in the United States (Hybrid hubs in San Francisco, New York City, and Chicago; some roles can be performed from anywhere in the country)

Salary: $128,000 - $170,000 USD

Company

AI-driven healthcare intelligence company focused on reducing the global burden of disease through its comprehensive Healthcare Map.

What you will do

• Architect end-to-end SQL pipelines for large-scale healthcare data extraction, transformation, and validation to power observational research.
• Implement analytical plans featuring complex statistical modeling in R, aligning research objectives with methodological approaches for HEOR/RWE studies.
• Develop standardized programming modules to enhance research reproducibility and analytical efficiency across projects.
• Collaborate with epidemiologists and SMEs to design and execute observational research studies.
• Produce publication-ready deliverables and present findings to cross-functional stakeholders.
• Support internal tool development and contribute to scientific publications.

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 for large-scale databases.
• Proficiency in R, Python, or SAS for statistical programming.
• Hands-on experience with administrative claims, EHR, or equivalent RWD, including US medical coding systems (ICD-10, CPT, NDC).
• Experience with Git version control and command-line workflows.
• Proven ability to implement statistical analysis, including descriptive analytics, regression, and hypothesis testing.

Nice to have

• Advanced SQL skills such as dbt and query optimization.
• Extensive HEOR/RWE expertise (treatment pattern analysis, LoT, HCRU/cost analysis, synthetic control arms).
• Advanced statistical modeling experience in PSM, survival analysis, causal inference, and bootstrapping.
• Experience with health economic modeling (BIM and CEA).
• Exposure to RESTful APIs, R package development, or Shiny apps.

Culture & Benefits

• Hybrid work model combining intentional in-office rhythms with core flexibility.
• Comprehensive health, dental, and vision insurance.
• 401(k) plan with company match.
• Flexible time off and paid holidays.
• AI-forward environment where integrating AI into daily workflows is foundational to the role.
• Disability and life insurance.