Research Fellow Deep Learning at Mass General Brigham

Site: Massachusetts Eye and Ear InfirmaryMass 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 SummaryWe 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 developedDystoniaNet platformand 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).QualificationsPostdoctoral Fellow in Deep LearningWe 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 developedDystoniaNet platformand 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).Responsibilitiesinclude but may not be limited toExperimental data collection and processingDevelopment and refinement of deep learning and other benchmark algorithms for predictive classification of dystonia and other related disordersClinical translation and implementation of the developed algorithms and interactions with clinicians for their testingEstablishment of new and fostering of existing collaborationsParticipation in the regulatory aspects of clinical translation and patentingPresentation of the results at the scientific meetings and publication of journal articlesMentoring junior staffQualifications and SkillsPhD or an equivalent degree in computer science neuroscience biomedical engineering or related fieldsBroad proficiency and experience with supervised and unsupervised machine-learning methods expertise in building neural network architecturesExperience with neuroimaging data processingAdvanced 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 skillsStrong publication record and academic credentialsAbility to work effectively both independently and in collaboration with multiple investigatorsAdditional Job Details (if applicable)Remote TypeOnsiteWork Location243-245 Charles StreetScheduled Weekly Hours40Employee TypeRegularWork ShiftDay (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. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973 the Vietnam Veterans Readjustment Act of 1974 and Title I of the Americans with Disabilities Act of 1990 applicants who require accommodation in the job application process may contact Human Resources at .Mass General Brigham Competency FrameworkAt 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. Key Skills Bioinformatics,Genetics,R,Biochemistry,Cell Biology,Research Experience,Statistical Software,Cell Culture,Molecular Biology,Data Analysis Skills,Flow Cytometry,Microscopy Employment Type : Full-Time Experience: years Vacancy: 1