The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursue our mission at MSK and around the globe.
Exciting opportunity at MSK: Join our team as an MRI Research Scientist ! We're looking for a dynamic professional to work in a multidisciplinary group including physicists, engineers, computer scientists and clinicians in the departments of Medical Physics and Radiology.
This is an opportunity to make a real impact in cancer research and clinical care while working at the forefront of Quantitative MRI and Deep Learning. Join us and be part of the future of medical imaging!
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Pay Range: $120,200 - $192,300
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Learn more about the Cohen Lab : The Cohen lab has substantial research time at clinical MRI scanners in the Department of Radiology, including state-of-the art 1.5T and 3T GE scanners and a 3T PET-MR GE scanner. The group also has access to high performance computer servers with multiple GPUs for image reconstruction and analysis tasks. Deep learning methods have recently experienced tremendous growth in popularity due to their effectiveness and ease of use. In this project, we aim to develop deep learning reconstruction and quantification methods to accelerate the MRI reconstruction and further extract clinically useful data from the MR acquisition.
MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision.
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