Senior Research Programmer/Analyst (SAS & R/Python)

Brigham and Women's Hospital; Somerville (MA); Hybrid; USD 80,000 - 116,000; Full time

Job summary

Brigham and Women's Hospital in Massachusetts seeks a Senior Research Programmer/Analyst to support pharmacoepidemiology and pharmacoeconomics research. You will develop reproducible analytic datasets and analyses using R, Python, SQL, and SAS-based workflows, collaborating with epidemiologists and biostatisticians.

You will translate research questions into scalable programming solutions, ensure quality control, and contribute to advanced analytic infrastructure across languages and platforms,

Qualifications

• Bachelor's degree in a relevant quantitative field (e.g., CS, data science, biostatistics).
• 3+ years of programming/data-analysis experience; healthcare/research data preferred.
• Advanced proficiency in R and/or Python; strong SQL and relational databases.
• Experience with SAS is strongly preferred; familiarity with SAS workflows is a plus.
• Experience with large longitudinal healthcare datasets (claims, EHR).

Responsibilities

• Develop analytic datasets and conduct statistical analyses.
• Create, validate, and document large healthcare datasets.
• Translate research questions into reproducible programming workflows.
• Apply best practices: quality control, code review, version control, modular code.
• Collaborate across teams and mentor junior programmers/analysts.
• Contribute to programmatic infrastructure and cross-language workflows.
• Participate in team meetings and serve as a technical resource.

Skills

Analytical skills

Programming

Communication

Multidisciplinary teamwork

Code modularity

Education

Bachelor's degree in quantitative field

Master's degree preferred

Tools

R

Python

SQL

SAS

Git

Linux

Job description

Brigham and Women's Hospital in Massachusetts seeks a Senior Research Programmer/Analyst to support pharmacoepidemiology and pharmacoeconomics research. You will develop reproducible analytic datasets and analyses using R, Python, SQL, and SAS-based workflows, collaborating with epidemiologists and biostatisticians.

You will translate research questions into scalable programming solutions, ensure quality control, and contribute to advanced analytic infrastructure across languages and platforms,