Senior Research ProgrammerAnalyst Pharmacoepidemiology
Somerville, NJ - USA
Job Summary
Mass General Brigham relies on a wide range of professionals including doctors nurses business people tech experts researchers and systems analysts to advance our mission. As a not-for-profit we support patient care research teaching and community service striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.
Job Summary
GENERAL SUMMARY/ OVERVIEW STATEMENT:The Division of Pharmacoepidemiology and Pharmacoeconomics at Brigham and Womens Hospital and Harvard Medical School was created to facilitate a wide range of activities related to the use and outcomes of medications. Its mission is to bring together medicine epidemiology biostatistics health services research data science and related disciplines to evaluate the benefits risks utilization and costs of existing and new prescription medications and to develop methods to optimize medication use.
The Senior Research Programmer/Analyst will support this mission as part of a highly collaborative multidisciplinary research environment comprising approximately 30 Harvard Medical School faculty members and 80 research and administrative staff including a team of experienced research programmers/analysts.
The Divisions research makes extensive use of large and complex real-world healthcare data including longitudinal health insurance claims and electronic health records as well as data from surveys and randomized trials. The Senior Research Programmer/Analyst will have the opportunity to work closely with epidemiologists biostatisticians clinicians and other quantitative researchers to translate scientific questions into reproducible analytic datasets and analyses.
The Division uses a range of programming languages and computational tools to work with large-scale complex healthcare data with SAS serving as a core programming language and R and Python used in complementary applications across our research portfolio. Because a substantial body of our established analytic infrastructure is built in SAS advanced SAS expertise is essential for this position while proficiency in R and/or Python is strongly valued. We encourage the use of modern efficient and reproducible approaches to data analysis and welcome candidates who bring strong computational skills and can contribute to the continued evolution of programming practices across languages and platforms.
PRINCIPAL DUTIES AND RESPONSIBILITIES:
Support faculty and other research staff in the development of analytic datasets and the conduct of statistical analyses for pharmacoepidemiologic health services and related research.
Develop validate manage analyze and document large and complex healthcare datasets including longitudinal health insurance claims and electronic health record data.
Translate research questions and study protocols into efficient and reproducible programming workflows including data cleaning transformation linkage cohort construction variable creation and statistical analysis.
Apply programming best practices including systematic quality control code review version control modular and reusable programming and clear documentation to support reproducibility and collaboration.
Contribute to the Divisions programming and research-computing environment across SAS R Python SQL and related tools including identifying opportunities to improve workflows computational efficiency and reusable infrastructure.
Collaborate closely with faculty and research staff across multiple ongoing and new research projects.
Participate in programmer/analyst team meetings mentor junior programmers/analysts and serve as a technical resource to other members of the research team.
Qualifications
QUALIFICATIONS:
Bachelors degree in computer science data science statistics biostatistics epidemiology biomedical informatics mathematics engineering or another relevant quantitative field required.
Masters degree preferred.
At least 3 years of relevant programming and data-analysis experience required; 5 or more years of experience in a healthcare research or similarly data-intensive environment preferred
Advanced proficiency in SAS required including substantial experience with data management and analysis of large datasets.
Proficiency in R and/or Python strongly preferred.
Experience with SQL and relational databases strongly preferred.
Experience working with large complex longitudinal datasets required; experience with healthcare claims and/or electronic health record data strongly preferred.
SKILLS/ ABILITIES/ COMPETENCIES REQUIRED:
Strong programming and problem-solving skills with careful attention to accuracy reproducibility and quality control.
Ability to manage and prioritize multiple concurrent research projects
Experience working in Linux/Unix-based 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 and communicate technical concepts clearly to both technical and non-technical collaborators.
ADDITIONAL DESIRED SKILLS:
The following are considered a plus but are not required:
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 emerging computational approaches including machine learning and AI-enabled research tools.
Additional Job Details (if applicable)
Remote Type
Work Location
Scheduled Weekly Hours
Employee Type
Work Shift
Pay Range
$79560.00 - $115720.80/AnnualGrade
7EEO Statement:
At Mass General Brigham our competency framework defines what effective leadership looks like by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance make hiring decisions identify development needs mobilize employees across our system and establish a strong talent pipeline.
Required Experience:
Senior IC
About Company
Patients at Mass General have access to a vast network of physicians, nearly all of whom are Harvard Medical School faculty and many of whom are leaders within their fields.