Research Fellow - Deep Learning
- Pay
- $71,750 – $73,544 per year
- Location
- Boston-MA · On-site
- Job type
- Full-time
- Level
- Mid-level
- Education
- Doctorate
- Listed
- 7 days ago
Skills & highlights for this role
- Machine Learning
- Deep Learning
- Neural Network Architectures
- Neuroimaging Data Processing
- Python
- MATLAB
- TensorFlow
- Keras
- Scientific Writing
Also useful
- AWS
- Cloud-based Computational Platforms
- Clinical Translation
- Regulatory Processes
- Patenting
Site: Massachusetts Eye and Ear Infirmary
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
We have an open position for a computer science/machine-learning postdoctoral fellow to work on machine-learning algorithms for automatic diagnosis of dystonia, prediction of the risk for dystonia development, and the efficacy of treatment outcomes. This work will be directly related to the extension of our recently developed DystoniaNet platform and will include brain MRI datasets from patients with dystonia, other movement disorders, and healthy individuals.
The postdoctoral fellow will be part of a multidisciplinary team of neuroscientists, neurologists, laryngologists, and geneticists at Mass Eye and Ear and Mass General Hospital and work at the intersection on the development, testing and implement of DystoniaNet in the clinical setting.
This position is best suited for an individual with a broad computer science background interested in understanding and examining critical clinical problems and developing research solutions for their translation to healthcare. The fellow will be highly competitive to pursue future opportunities in either academia or industry (pharma and biotech).
Responsibilities include but may not be limited to
- Experimental data collection and processing
- Development and refinement of deep learning and other benchmark algorithms for predictive classification of dystonia and other related disorders
- Clinical translation and implementation of the developed algorithms and interactions with clinicians for their testing
- Establishment of new and fostering of existing collaborations
- Participation in the regulatory aspects of clinical translation and patenting
- Presentation of the results at the scientific meetings and publication of journal articles
- Mentoring junior staff
Qualifications and Skills
- PhD or an equivalent degree in computer science, neuroscience, biomedical engineering, or related fields
- Broad proficiency and experience with supervised and unsupervised machine-learning methods, expertise in building neural network architectures
- Experience with neuroimaging data processing
- Advanced programming skills (Python and/or Matlab), including deep learning packages (e.g., TensorFlow or Keras)
- Knowledge and experience with cloud-based computational platforms (e.g., AWS)
- Excellent verbal and written communication skills
- Strong publication record and academic credentials
- Ability to work effectively both independently and in collaboration with multiple investigators
Pay Range
- $71,750.00 - $73,544.00/Annual
- Additional Job Details (if applicable)
- Remote Type
- Onsite
- Work Location
- 243-245 Charles Street
- Scheduled Weekly Hours
- 40
- Employee Type
- Regular
- Work Shift
- Day (United States of America)
Equal opportunity and legal notices
5110 Massachusetts Eye and Ear Infirmary 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.
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.
From Mass General Brigham's careers page, first listed on Rolev.ai on November 6, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
Rolev.ai is a job search and application tool for US job seekers. For this Research Fellow - Deep Learning role at Mass General Brigham, it shows how your resume fits, tailors your resume to the posting, and prepares the application for you to review.
See how you fit
Openings from employer career sites are ranked against your whole resume—and searchable inside Claude, ChatGPT, and Cursor via Rolev.ai MCP.
Tailor without inventing
Every change to your resume is checked against your original. New experience goes in only with your yes—zero fabricated claims.
Draft the full kit
Tailored and Full Match resumes, role-specific cover letters, and answers to employer screening questions are prepared in seconds.
1-Click Extension Autofill
The Chrome extension fills the employer's Greenhouse, Workday, Lever, or Ashby form in 1 click. You review it and press Submit.
Common questions
What is the salary for the Research Fellow - Deep Learning role at Mass General Brigham?
The Research Fellow - Deep Learning posting at Mass General Brigham states compensation of $71,750 – $73,544 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Mass General Brigham's official career site.
Where is the Research Fellow - Deep Learning job at Mass General Brigham located?
This Research Fellow - Deep Learning position at Mass General Brigham is located in Boston-MA (On-site). Always check Mass General Brigham's application page for specific state eligibility or relocation policies.
What qualifications are required for Research Fellow - Deep Learning at Mass General Brigham?
For the Research Fellow - Deep Learning role, Mass General Brigham highlights a doctorate; experience with Machine Learning, Deep Learning, Neural Network Architectures, Neuroimaging Data Processing, Python, MATLAB. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Research Fellow - Deep Learning position at Mass General Brigham?
This listing links directly to Mass General Brigham's Workday application page. You can apply directly on Mass General Brigham's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Workday application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.