Postdoc in Deep Learning for Dystonia Diagnosis

Massachusetts Eye and Ear; Boston (MA); On-site; USD 70,000 - 72,000; Full time

Job summary

Massachusetts Eye and Ear Infirmary seeks a computer science/machine-learning postdoctoral fellow to advance automatic dystonia diagnosis and treatment outcome prediction. Work includes brain MRI data across patients, healthy individuals, and other movement disorders, integrating with DystoniaNet in a clinical setting.

You will join a multidisciplinary team at Mass Eye and Ear and Mass General Hospital to translate research into healthcare, with opportunities for future academic or industry

Qualifications

• PhD or equivalent in computer science, neuroscience, biomedical engineering, or related fields.
• Broad proficiency and experience with supervised and unsupervised machine-learning methods, expertise in building neural networks.
• Experience with neuroimaging data processing and deep learning packages.

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 the developed algorithms 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

Broad ML experience

Neuroimaging data processing

Python/ Matlab

TensorFlow/Keras

AWS cloud

Excellent communication

Strong publication record

Independent & collaborative work

Education

PhD in CS/Neuroscience/Bioengineering or related

Tools

TensorFlow

Keras

AWS

Job description

Massachusetts Eye and Ear Infirmary seeks a computer science/machine-learning postdoctoral fellow to advance automatic dystonia diagnosis and treatment outcome prediction. Work includes brain MRI data across patients, healthy individuals, and other movement disorders, integrating with DystoniaNet in a clinical setting.

You will join a multidisciplinary team at Mass Eye and Ear and Mass General Hospital to translate research into healthcare, with opportunities for future academic or industry