Research Fellow - Deep Learning

Mass General Brigham Incorporated; Boston (MA); Hybrid; USD 72,000 - 74,000; Full time

Job summary

Mass General Brigham Incorporated invites applications for a Research Fellow in Deep Learning to develop machine-learning algorithms for autonomous dystonia diagnosis and treatment outcome prediction, leveraging brain MRI datasets and the DystoniaNet platform in a clinical setting.

You will join a multidisciplinary team at Mass Eye and Ear and Mass General Hospital, contributing to translation of research into healthcare and pursuing opportunities in academia or biotech.

Qualifications

• 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 (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.

Responsibilities

• Experimental data collection and processing.
• Development and refinement of deep learning and other benchmark algorithms for predictive classification of dystonia and related disorders.
• Clinical translation and implementation of developed algorithms and interactions with clinicians for testing.
• Establishment of new and fostering of existing collaborations.
• Participation in regulatory aspects of clinical translation and patenting.
• Presentation of results at scientific meetings and publication of journal articles.
• Mentoring junior staff.

Skills

Machine learning

Neuroimaging data processing

Python/ Matlab

Deep learning

Cloud computing (AWS)

Communication skills

Publication record

Education

PhD or equivalent in CS/neuroscience/biomedical engineering

Tools

TensorFlow

Keras

Python

Matlab

Job description

## Research Fellow - Deep LearningApply: Onsite: Boston-MA: Full time: Posted Today: RQ4076195Site: Massachusetts Eye and Ear InfirmaryMass 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).**Qualifications**Postdoctoral Fellow in Deep LearningWe 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)**EEO Statement:**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 (857)-282-7642.