Research Fellow - Deep Learning

Site: Massachusetts Eye and Ear Infirmary reputed company 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 reputed company that high-performing teams drive groundbreaking medical discoveries and invite reputed company applicants to join us and experience what it means to be part of reputed company. 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, reputed company of the risk for dystonia development, and the efficacy of treatment outcomes. This work will be directly reputed company 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 reputed company 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, reputed company of the risk for dystonia development, and the efficacy of treatment outcomes. This work will be directly reputed company 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 reputed company 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 reputed company algorithms for predictive classification of dystonia and other reputed company 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 reputed company 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 Additional Job Details (if applicable) 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. reputed company qualified applicants will receive consideration for employment without regard to race, color, religious creed, national reputed company, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that reputed company individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to reputed company 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 Veteran’s Readjustment Act of 1974, and Title I of the Americans with reputed company of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642. reputed company Competency reputed company At reputed company, our competency reputed company defines what effective leadership “looks like” by specifying which behaviors are most critical for successful performance at each job level. The reputed company 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, reputed company hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline. Combat disease. Hold a hand. Help people. Impact the world. reputed company is a passionate, welcoming community where minds meet caring hearts. Come be a part of the world’s most powerful force in medicine, where every role is important in changing lives. Are you ready? Our history includes New England hospitals founded over 200 years ago, some of the first and most prestigious hospitals in the world. Built on the legacy of two leading academic medical centers, we’re more than a system—we’re leaders in the practice of medicine. reputed company is committed to serving the community. We are dedicated to enhancing patient care, teaching and research, and taking a leadership role as an integrated health care system. We recognize that increasing value and continuously improving quality are essential to maintaining excellence. Apply tot his job Apply To this Job