At a Glance
- Tasks: Develop machine-learning algorithms for diagnosing dystonia and predicting treatment outcomes.
- Company: Join the innovative team at Massachusetts Eye and Ear Infirmary, part of Mass General Brigham.
- Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
- Other info: Work with a multidisciplinary team and gain valuable experience in academia and industry.
- Why this job: Make a real impact in healthcare by translating research into clinical solutions.
- Qualifications: PhD in computer science or related field with machine-learning expertise.
The predicted salary is between 63000 - 77000 £ per year.
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.
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 implementation 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 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: $70,000.00 - $71,750.00/Annual
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: 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.
Research Fellow - Deep Learning employer: Mass General Brigham
Mass General Brigham offers a supportive and dynamic work environment at Newton-Wellesley Hospital, where employees are encouraged to grow both personally and professionally. With a strong emphasis on teamwork and patient care, the hospital provides comprehensive training and development opportunities, ensuring that Medical Assistants can thrive in their roles while making a meaningful impact in the community. The culture prioritises collaboration and respect, making it an excellent place for those looking to advance their careers in healthcare.
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