Research Fellow-Machine Learning for Diagnostics; Simonyan Lab
Boston, MA 
Posted 28 days ago
Job Description

Postdoctoral Fellow in Machine Learning for Diagnostics of Neurological Movement Disorders

The Dystonia and Speech Motor Control Laboratory () at Harvard Medical School, Massachusetts Eye and Ear, and Massachusetts General Hospital has 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 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 will 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 for clinical translation and patenting
  • Presentation of the results at the scientific meetings and publication of journal articles
  • Mentoring of 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 of the 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


Commensurate with experience according to the NIH guidelines.


The positions are available immediately, and the applications are considered on an ongoing basis until the positions are filled.

How to Apply

The application should be sent to Dr. Kristina Simonyan at

The application should include the candidate's CV with the list of publications, a statement of interests, and the names and contact information of at least three professional referees

EEO Statement Massachusetts Eye and Ear is proud to be an equal-opportunity employer and is committed to providing a workplace free from harassment or discrimination. All employment decisions are made without regard to race, color, age, gender, gender identification, sexual orientation, religion, marital status, sex, pregnancy or conditions related to pregnancy, national origin/ancestry, citizenship, disability, military status, genetic information, or any other basis prohibited by law. These protections extend to all management practices and decisions, including recruitment and hiring practices, appraisal systems, promotions, training, and career development programs
Primary Location: MA-Boston-MEI Mass Eye and Ear Main Building Boston
Work Locations:
MEI Mass Eye and Ear Main Building Boston
243 Charles Street
Boston 02114
Job: MD/PHD/Fellows/ PostDocs
Organization: Mass. Eye and Ear (MEE)
Schedule: Full-time
Standard Hours: 40
Shift: Day Job
Employee Status: Regular
Recruiting Department: MEI Otolaryngology
Job Posting: Feb 8, 2022


Job Summary
Start Date
As soon as possible
Employment Term and Type
Regular, Full Time
Required Education
Required Experience
Email this Job to Yourself or a Friend
Indicates required fields