Software Engineer, Research
149 Thirteenth Street Building 149 Charlestown (Building 149), United States
Mass General Brigham
Mass General Brigham is an integrated healthcare system, uniting great minds to solve the hardest problems in medicine for our communities and the world.
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
SummaryResponsible for software development, coding and implementation, systems analysis and more within the software development team.
Essential Functions: Designs, develops, tests, and maintains software applications, features, and modules according to project requirements and specifications.
-Writes clean, efficient, and high-quality code using programming languages, frameworks, and tools relevant to the project.
-Collaborates with stakeholders, business analysts, and senior engineers to gather requirement, understand user needs, and propose technical solutions.
-Creates and maintains technical documentation, including design documents, architecture diagrams, code comments, and user guides.
-Identifies, debugs, and resolves software defects, performance issues, and compatibility problems through systematic problem-solving techniques.
-Works closely with cross-functional teams to ensure seamless integration and delivery of software products.
-Stays up-to-date with emerging technologies, industry trends, and best practices related to software development.
Qualifications
PRINCIPAL DUTIES AND RESPONSIBILITIES:
Development responsibilities:
Gain enough familiarity with image analysis pipelines developed by our team (for, e.g., image registration, segmentation, or tractography) to be able to test these pipelines and understand how they work and how they are used
Containerize image analysis pipelines for public distribution
Deploy image analysis pipelines on the cloud
Ensure compatibility of new pipelines with existing packages and libraries, which may have been developed in a variety of languages (python, matlab, julia, C/C++) and deep learning frameworks (tensorflow, pytorch)
Develop tools for visualizing and annotating the raw image data and/or pipeline derivatives
Test responsibilities:
Develop and execute software test plans (e.g., unit and regression tests) on multiple platforms
Monitor automated tests, analyze test results, and recommend corrective action
Maintenance and support responsibilities:
Package new tools for public distribution
Document new tools and support them for users and collaborators
Maintain GitHub repositories
Fix bugs and enhance features
Resolve cross-platform compatibility, installation, and run-time issues
SKILLS & COMPETENCIES REQUIRED:
Required:
- Competency in python and one other programming language. Applicants will be required to present code samples demonstrating their competency.
- Competency in Unix shell scripting (bash, csh)
- Ability to effectively communicate verbally and in writing to document code and support users
- Debugging of hard, soft, and compile failures
- Basic Git and GitHub version control
- Basic test-driven development
- Basic understanding of machine learning/deep learning
- Ability to understand, troubleshoot, and modify others’ code
EXPERIENCE:
- Programming in python: minimum 2 years
- Programming in one other language: minimum 1 year
- Experience in Unix environment: minimum 1 year
- Experience with Git and GitHub: minimum 6 months
- Familiarity with tensorflow and/or pytorch frameworks: minimum 6 months
- Preferred: experience in biomedical image analysis and/or neuroscience
Additional Job Details (if applicable)
Physical Requirements
- Standing Occasionally (3-33%)
- Walking Occasionally (3-33%)
- Sitting Constantly (67-100%)
- Lifting Occasionally (3-33%) 20lbs - 35lbs
- Carrying Occasionally (3-33%) 20lbs - 35lbs
- Pushing Rarely (Less than 2%)
- Pulling Rarely (Less than 2%)
- Climbing Rarely (Less than 2%)
- Balancing Occasionally (3-33%)
- Stooping Occasionally (3-33%)
- Kneeling Rarely (Less than 2%)
- Crouching Rarely (Less than 2%)
- Crawling Rarely (Less than 2%)
- Reaching Occasionally (3-33%)
- Gross Manipulation (Handling) Constantly (67-100%)
- Fine Manipulation (Fingering) Frequently (34-66%)
- Feeling Constantly (67-100%)
- Foot Use Rarely (Less than 2%)
- Vision - Far Constantly (67-100%)
- Vision - Near Constantly (67-100%)
- Talking Constantly (67-100%)
- Hearing Constantly (67-100%)
Remote Type
Hybrid
Work Location
149 Thirteenth Street Building 149
Scheduled Weekly Hours
40
Employee Type
Regular
Work Shift
Day (United States of America)
EEO Statement:
The General Hospital Corporation is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran’s Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642.
Mass General Brigham Competency Framework
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Computer Science Deep Learning Engineering Git GitHub Julia Machine Learning Matlab Nonprofit Pipelines Python PyTorch Research Shell scripting TDD Teaching TensorFlow Testing
Perks/benefits: Career development
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