Senior Pharmacoepidemiology Data Programmer

massgeneralbrigham; Somerville (MA); On-site; USD 90,000 - 130,000; Full time

Job summary

Mass General Brigham's Brigham and Women's Hospital division is seeking a Senior Research Programmer/Analyst to support pharmacoepidemiology and pharmacoeconomics research. You will translate questions into reproducible datasets and analyses, working with SAS, R, Python, and SQL.

Join a collaborative team of Harvard Medical School affiliates, handling large healthcare data, developing workflows, ensuring quality control, and mentoring junior programmers.

Qualifications

• Bachelor's degree in a quantitative field required.
• Master's degree preferred.
• At least 3 years of relevant programming and data-analysis experience required; 5+ years preferred.
• Advanced proficiency in SAS with data management and large dataset analysis.
• Proficiency in R and/or Python strongly preferred.
• Experience with SQL and relational databases strongly preferred.
• Experience with large, complex, longitudinal datasets required; healthcare data preferred.

Responsibilities

• Develop, validate, manage, analyze, and document large healthcare datasets (claims, EHR).
• Translate research questions into reproducible programming workflows, including data cleaning and cohort construction.
• Apply programming best practices: QC, version control, modular code, documentation.
• Contribute to SAS, R, Python, SQL workflows and infrastructure.
• Collaborate with faculty and researchers across multiple projects and mentor junior staff.

Skills

SAS

R

Python

SQL

Education

Bachelor's degree in quantitative field (computer science, data science, statistics, biostatistics, epidemiology, biomedical informatics, mathematics, engineering, or similar)

Master's degree preferred

Job description

Mass General Brigham's Brigham and Women's Hospital division is seeking a Senior Research Programmer/Analyst to support pharmacoepidemiology and pharmacoeconomics research. You will translate questions into reproducible datasets and analyses, working with SAS, R, Python, and SQL.

Join a collaborative team of Harvard Medical School affiliates, handling large healthcare data, developing workflows, ensuring quality control, and mentoring junior programmers.