Senior Research Programmer/Analyst Pharmacoepidemiology

Location: Hybrid, Somerville, Massachusetts, United States; 40 hours per week, day shift

Salary: $79,560.00–$115,720.80 per year

Company

hirify.global is a not-for-profit academic hospital supporting patient care, medical research, teaching, and community service through Mass General Brigham.

What you will do

• Develop, validate, manage, analyze, and document large and complex healthcare datasets, including longitudinal insurance claims and electronic health record data.
• Translate research questions and study protocols into efficient, reproducible workflows covering data cleaning, transformation, linkage, cohort construction, variable creation, and statistical analysis.
• Support faculty and research staff with analytic datasets and statistical analyses for pharmacoepidemiologic, health services, and related research.
• Apply quality control, code review, version control, modular programming, reusable code, and clear documentation to ensure reproducibility.
• Contribute to programming and research-computing infrastructure across SAS, R, Python, SQL, and related tools, including workflow and computational-efficiency improvements.
• Collaborate across multidisciplinary research projects, participate in programmer/analyst meetings, mentor junior programmers and analysts, and provide technical guidance.

Requirements

• Bachelor’s degree in computer science, data science, statistics, biostatistics, epidemiology, biomedical informatics, mathematics, engineering, or another relevant quantitative field.
• At least 3 years of relevant programming and data-analysis experience.
• Advanced proficiency in SAS, including substantial experience managing and analyzing large datasets.
• Experience working with large, complex, longitudinal datasets.
• Strong programming and problem-solving skills with attention to accuracy, reproducibility, and quality control.
• Ability to manage and prioritize multiple concurrent research projects and communicate technical concepts to technical and non-technical collaborators.
• Experience working in Linux/Unix command-line environments and remote computing systems.
• Experience with version-control systems such as Git, GitHub, or similar platforms.
• Ability to work effectively in multidisciplinary research teams.

Nice to have

• Master’s degree.
• Five or more years of experience in a healthcare, research, or similarly data-intensive environment.
• Proficiency in R and/or Python.
• Experience with SQL and relational databases.
• Experience with healthcare claims and/or electronic health record data.
• Experience developing reusable, efficient, and reproducible data-processing or analytic workflows for large datasets.
• Familiarity with high-performance, cloud-based, or distributed computing environments and modern software development practices.
• Knowledge of epidemiologic and biostatistical methods and/or experience with machine learning and AI-enabled research tools.

Culture & Benefits

• Collaborative, multidisciplinary research environment involving faculty, researchers, clinicians, epidemiologists, biostatisticians, and quantitative scientists.
• Research focused on medication benefits, risks, utilization, costs, and methods to optimize medication use.
• Regular employment with comprehensive benefits, career advancement opportunities, differentials, premiums, bonuses where applicable, and recognition programs.
• Hybrid workplace arrangement with a regular day shift.