Research Fellow - Deep Learning
Mass General Brigham · Boston-MA
What the posting says
Each fact was read from this posting and checked:Statedin the posting, quotedConflictsposted two ways, both shownNot mentionedwe looked; it is not there
- PayStated
- $71,750–$73,544 a year
- Employment typeStated
- Full time
- Work arrangementStated
- On-site
- ShiftStated
- day
Work Shift Day (United States of America)
from the posting - EducationStated
- ['postgraduate degree']
Not mentioned in this posting
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- ExperienceNot mentioned
- The posting does not say
- Visa sponsorshipNot mentioned
- The posting does not say
Requirements, each with its sentence from the posting
These are the employer’s words. The index does not judge whether you meet them.
- PhD or equivalent degreerequired
PhD or an equivalent degree in computer science, neuroscience, biomedical engineering, or related fields
from the posting - Supervised machine learningrequired
Broad proficiency and experience with supervised and unsupervised machine-learning methods, expertise in building neural network architectures
from the posting - Unsupervised machine learningrequired
Broad proficiency and experience with supervised and unsupervised machine-learning methods, expertise in building neural network architectures
from the posting - Neural network architecture developmentrequired
expertise in building neural network architectures
from the posting - Neuroimaging data processingrequired
Experience with neuroimaging data processing
from the posting - Python programmingrequired
Advanced programming skills (Python and/or Matlab), including deep learning packages (e.g., TensorFlow or Keras)
from the posting - Matlab programmingrequired
Advanced programming skills (Python and/or Matlab), including deep learning packages (e.g., TensorFlow or Keras)
from the posting - TensorFlowrequired
deep learning packages (e.g., TensorFlow or Keras)
from the posting - Kerasrequired
deep learning packages (e.g., TensorFlow or Keras)
from the posting - Cloud-based computational platforms (AWS)required
Knowledge and experience with cloud-based computational platforms (e.g., AWS)
from the posting - Verbal and written communicationrequired
Excellent verbal and written communication skills
from the posting - Independent and collaborative workrequired
Ability to work effectively both independently and in collaboration with multiple investigators
from the posting
Read the full posting as the employer wrote it
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.
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 Learning
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).
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
Work Location
Scheduled Weekly Hours
Employee Type
Work Shift
EEO Statement:
Mass General Brigham Competency Framework
At Mass General Brigham, our competency framework defines what effective leadership “looks like” by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.
The posting text is reproduced as the employer wrote it; the index adds nothing to it.