Programmer Analyst

Mass General Brigham•Boston, MA

2d•$63,648 - $90,750•Onsite

About The Position

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. This role is responsible for extracting knowledge and insights from data in order to investigate business/operational problems through a range of data preparation, modeling, analysis, and/or visualization techniques. 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.

Requirements

B.S. in Computer Science, Mathematics, Data Science, Statistics, Computational Biology, or related field
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
Working knowledge of relational databases, SQL, data visualization, and Business Intelligence tools such as Tableau.
Proficiency with Microsoft Office Suite, including Word, Excel and PowerPoint.

Nice To Haves

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.
Knowledge and application of statistical analyses, including variance analysis and statistical significance, are preferred.
Project management skills and/or experience are a plus.

Responsibilities

Collects, analyzes, and reports data to support decisions on day-to-day operations, strategic planning, and/or specific business performance issues.
Collates, models, interprets, and analyzes data.
Explains variances and trends in data.
Identifies and documents enhancements to modeling techniques.
Completes thorough quality assurance procedures, ensuring accuracy, reliability, trustworthiness, and validity of work.
Performs data validation of source-to-target data for data visuals and dashboards.
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 through: 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, such as automated scripts or improved user interfaces.
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.