Programmer Analyst
Role details
Job location
Tech stack
Job description
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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: o Coding, debugging, and testing new features o Optimizing models, with a focus on speed and memory usage o Developing user interfaces for model input/output o Consulting with research personnel on model structure and parameterization
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Developing new and existing user interfaces, web apps, and data analysis/visualization tools
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Meeting regularly with research personnel to devise innovative and scientifically appropriate solutions to modeling and data analysis challenges
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Working with research personnel to identify workflow issues and develop technical solutions, such as automated scripts or improved user interfaces
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Serving as a technical liaison for external collaborators and model developers
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Contributing to grant proposals by consulting on technical/programming aspects
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Contributing to and acting as co-author on scientific manuscripts and publications (if interested)
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Producing documentation for technical and non-technical audiences
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Assisting researchers with software-related questions and issues, including tasks related to Linux/Windows system administration and high-performance computing cluster usage, Summary-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. Essential Functions-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.
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
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
Knowledge, Skills and Abilities
- 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.
Benefits & conditions
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 external deadlines for grants or manuscripts., At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach to determining base pay is comprehensive, and any offer extended will take into account your skills, relevant experience if applicable, education, certifications and other essential factors. The base pay information provided offers an estimate based on the minimum job qualifications; however, it does not encompass all elements contributing to your total compensation package. In addition to competitive base pay, we offer comprehensive benefits, career advancement opportunities, differentials, premiums and bonuses as applicable and recognition programs designed to celebrate your contributions and support your professional growth. We invite you to apply, and our Talent Acquisition team will provide an overview of your potential compensation and benefits package.