Deep Learning Postdoc for Clinical Dystonia AI

5110 Massachusetts Eye and Ear Infirmary; Boston (MA); On-site; USD 72,000 - 74,000; Full time

Job summary

Massachusetts Eye and Ear Infirmary is seeking a Postdoctoral Fellow in Deep Learning to work on machine-learning algorithms for automatic diagnosis of dystonia and treatment outcome prediction. The role extends the DystoniaNet platform and uses brain MRI datasets from patients and controls, collaborating with experts across Mass Eye and Ear and Mass General Hospital.

You will develop and test ML methods for clinical translation, publish results, and pursue opportunities in academia or industry.

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 (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

Responsibilities

• 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

Skills

Machine learning expertise

Neuroimaging processing

Python/ Matlab

TensorFlow/Keras

AWS cloud

Communication skills

Publication record

Team collaboration

Education

PhD in computer science, neuroscience, biomedical engineering, or related fields

Tools

TensorFlow

Keras

Python

Matlab

AWS

Job description

Massachusetts Eye and Ear Infirmary is seeking a Postdoctoral Fellow in Deep Learning to work on machine-learning algorithms for automatic diagnosis of dystonia and treatment outcome prediction. The role extends the DystoniaNet platform and uses brain MRI datasets from patients and controls, collaborating with experts across Mass Eye and Ear and Mass General Hospital.

You will develop and test ML methods for clinical translation, publish results, and pursue opportunities in academia or industry.