Senior Research SAS Programmer/Analyst
Role Overview
The Division of Pharmacoepidemiology and Pharmacoeconomics at Brigham and Women’s Hospital and Harvard Medical School studies medication use and outcomes across medicine, epidemiology, biostatistics, health services research, and data science.
The Senior Research Programmer/Analyst supports collaborative research using large-scale healthcare data and translates scientific questions into reproducible datasets and analyses.
The role emphasizes R, Python, and SQL and contributes to the evolution of programming practices and analytics infrastructure that also includes established SAS workflows.
Key Skills for This Role
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Job summary
The Division of Pharmacoepidemiology and Pharmacoeconomics at Brigham and Women’s Hospital and Harvard Medical School studies medication use and outcomes across medicine, epidemiology, biostatistics, health services research, and data science.
The Senior Research Programmer/Analyst supports collaborative research using large-scale healthcare data and translates scientific questions into reproducible datasets and analyses.
The role emphasizes R, Python, and SQL and contributes to the evolution of programming practices and analytics infrastructure that also includes established SAS workflows.
Principal duties and responsibilities
- Support research staff with analytic datasets and statistical analyses for pharmacoepidemiologic, health services, and related research.
- Develop, validate, manage, analyze, and document complex longitudinal claims and electronic health record datasets.
- Translate questions and protocols into reproducible workflows, including cleaning, transformation, linkage, cohort construction, variable creation, and analysis.
- Use quality control, code review, version control, reusable modular programming, and clear documentation.
- Improve programming and research-computing infrastructure using R, Python, SQL, and related tools alongside SAS-based systems.
- Develop reusable tools, improve efficiency, integrate workflows across languages and platforms, and collaborate on research projects.
- Participate in team meetings, mentor junior programmers/analysts, and provide technical support to the research team.
Qualifications
- Bachelor’s degree in a relevant quantitative field, including computer science, data science, statistics, biostatistics, epidemiology, biomedical informatics, mathematics, or engineering, is required.
- Master’s degree preferred.
- At least 3 years of relevant programming and data-analysis experience required; 5+ years in healthcare, research, or a similarly data-intensive environment preferred.
- Advanced proficiency in R and/or Python, including substantial large-dataset management and analysis experience, is required.
- Strong SQL proficiency and relational database experience are preferred.
- SAS experience is strongly preferred; understanding, working with, and translating existing SAS workflows is a significant advantage.
Salary
- Structured salary information lists a yearly range of USD 79,560–115,720.
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