Programmer Analyst

Overview

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.

Our research group at Massachusetts General Hospital seeks a talented, motivated, full-time scientific programmer/software developer to join our team. We collaborate with health organizations and research groups around the world to inform health policy by using simulation models to project health outcomes and conduct clinical and public health decision analyses, including cost-effectiveness, probabilistic sensitivity, and value of information analyses. We work on a wide variety of projects, focusing on both infectious diseases (e.g., HIV/AIDS, tuberculosis, and congenital cytomegalovirus) and non-communicable diseases (e.g., diabetes, health impacts of e-cigarettes/smoking).

As a programmer in our group, you will have the opportunity to learn about public health issues while using your software skills to help solve global health problems.

Interested candidates should apply via (Use the "Apply for this Job" box below). When applying, please include a cover letter along with your resume. Applications that do not include both components will NOT be considered. For more information regarding our group, please visit .

As part of a small team of programmers embedded within a public health and health policy research group, you may contribute to a variety of programming and software development tasks including, for example:

• Developing and maintaining decision-analytic simulation models across the lifespan for HIV, tuberculosis, diabetes, cardiovascular disease, congenital cytomegalovirus, ANCA-associated vasculitis, e-cigarette use, and/or smoking
• Coding, debugging, and testing new features
• Optimizing models, with a focus on speed and memory usage
• Developing user interfaces for model input/output
• Consulting with research personnel on model structure and parameterization
• Developing new and existing user interfaces, web apps, and data analysis/visualization tools
• Meeting regularly with research personnel to devise innovative and scientifically appropriate solutions to modeling and data analysis challenges
• Working with research personnel to identify workflow issues and develop technical solutions
• Serving as a technical liaison for external collaborators and model developers
• Contributing to grant proposals by consulting on technical/programming aspects
• Contributing to and acting as co-author on scientific manuscripts and publications (if interested)
• Producing documentation for technical and non-technical audiences
• Assisting researchers with software-related questions and issues, including tasks related to Linux/Windows system administration and high-performance computing cluster usage

Education

• B.S. in Computer Science, Mathematics, Data Science, Statistics, Computational Biology, or related field

Experience

• Demonstrated experience with Python, R, JavaScript, or similar scripting language
• Familiarity with software development focused on performance and efficient resource utilization
• Basic familiarity with C/C++ and ability to expand expertise
• Comfortable with cross-platform software development (macOS, Windows, and Linux)
• Quick to learn new technologies and scientific concepts

One or more of the following desired but not required:

• Interest in medicine, health policy and/or public health
• Professional development experience with C/C++ or other general purpose programming language
• Web app, GUI, and/or data visualization development experience
• Experience developing software that utilizes parallel computing techniques
• High performance cluster computing experience
• Linux/Windows systems administration
• Experience in computational statistics, Bayesian methods, and/or probability theory

- Healthcare knowledge, particularly as it pertains to electronic medical record data, is preferred but not required.
- Working knowledge of relational databases, SQL, data visualization, and Business Intelligence tools such as Tableau.
- Knowledge and application of statistical analyses, including variance analysis and statistical significance, are preferred.
- Project management skills and/or experience are a plus.
- Proficiency with Microsoft Office Suite, including Word, Excel and PowerPoint.

Additional Job Details (if applicable)

Duties will be carried out primarily in a typical office environment, with the potential option for some remote work. We value work-life balance and hours will be a standard 40 hours per week from Monday-Friday. Hours outside the 9-5 workday may be required on occasion, particularly around…