Senior Research SAS Programmer/Analyst (Healthcare)

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

Salary: $79,560.00–$115,720.80 annually.

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

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

Requirements

• Bachelor’s degree required 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 required.
• Advanced proficiency in R and/or Python required, including substantial experience managing and analyzing large datasets.
• Experience working with large, complex, longitudinal datasets required.
• Strong programming, problem-solving, accuracy, reproducibility, and quality-control skills.
• Ability to manage multiple concurrent research projects and communicate technical concepts to technical and non-technical collaborators.
• Experience with Linux/Unix command-line environments, remote computing systems, and Git or similar version-control systems.
• Ability to design modular, reusable code and analytic workflows for use by multiple researchers and programmers.

Nice to have

• Master’s degree.
• Five or more years of experience in a healthcare, research, or similarly data-intensive environment.
• Strong SQL proficiency and experience with relational databases.
• Experience with SAS and the ability to understand and work with existing SAS programs and datasets.
• Experience with healthcare claims and/or electronic health record data.
• Experience developing reusable, efficient, and reproducible 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, machine learning, or AI-enabled research tools.

Culture & Benefits

• Work in a highly collaborative, multidisciplinary research environment involving faculty, researchers, clinicians, epidemiologists, biostatisticians, and quantitative researchers.
• Hybrid work arrangement with a regular day shift and 40 scheduled weekly hours.
• Regular employment with base pay plus benefits, career advancement opportunities, differentials, premiums, bonuses where applicable, and recognition programs.
• Contribute to medical discoveries and research infrastructure supporting medication safety, effectiveness, utilization, and costs.