Location: New York, New York
Academic / Research
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. One of the world's most respected comprehensive centers devoted exclusively to cancer, we have been recognized as one of the top two cancer hospitals in the country by U.S. News & World Report for more than 30 years.
In compliance with applicable State regulatory authorities, COVID-19 vaccination is mandatory for all MSK staff. Staff are considered fully vaccinated upon completion of a primary vaccination series for COVID-19 (i.e., one dose of a single dose vaccine or a final dose of a multi-dose vaccine series). Exceptions from the COVID-19 vaccine requirement are permitted for those who request and receive an approved medical or fully remote exemption. Requests for medical exemption can take up to two weeks to review. Vaccination or an approved medical exemption is required to start work.
*Staff working at a MSK New Jersey location must be up to date with COVID-19 vaccination, which includes having completed the primary COVID-19 vaccination series and booster once eligible as mandated by New Jersey State. All New Jersey staff not yet eligible for a booster must receive a booster within 3 weeks of becoming eligible as a condition of continued employment at MSK.
Note: Individuals are eligible to receive a COVID-19 booster two months after completion of a primary vaccination series for COVID-19. Because vaccine-induced immunity can wane over time, MSK continues to strongly urge all staff to get a COVID-19 booster as soon as they become eligible to maintain their protective immunity for a longer period.
The MRI Physics group at Memorial Sloan Kettering Cancer Center (MSK) offers a postdoctoral research fellow or research associate (according to previous experience) position to develop fast, motion-robust, and quantitative dynamic contrast-enhanced (DCE) MRI techniques using artificial intelligence for cancer applications. The successful candidate will work under the supervision of Ricardo Otazo. The selected candidate will have the opportunity to work in a multidisciplinary group including physicists, engineers, computer scientists and clinicians in the departments of Medical Physics and Radiology at one of the world leader institutions in clinical cancer care and research.
The Department of Medical Physics consists of over eighty faculty physicists and computer scientists plus support staff working on various physical problems related to diagnosis and therapy for cancer, in partnership with radiologists, radiation oncologists, and other medical professionals. Medical Physicists in the diagnostic imaging physics track are actively engaged in several research programs that include molecular, MR and CT imaging as well as the new radionuclide therapies called theranostics. Examples include advanced MR acquisition techniques, motion correction, MR fingerprinting, artificial intelligence, and deep learning for image reconstruction in all imaging modalities. MSK is a World leader in imaging and theranostic research and supports one of the largest pre-clinical small animal core facilities in the United States that includes MR, PET, SPECT, CT, ultrasound imaging equipment that provides a conduit for the translation of experimental techniques into clinical trials. Additional highlights include grant-funded research in quantitative MRI, hypoxia imaging, imaging drug delivery, and radionuclide dosimetry. Research and development in radiotherapy physics include the use of artificial intelligence for improved imaging and target localization, real-time tumor tracking, tissue segmentation, treatment planning, and adaptive radiotherapy.
Diagnostic, Nuclear and MRI Medical Physicists play a key role in supporting all imaging devices throughout the MSK enterprise, maintaining and harmonizing acquisition protocols, troubleshooting image artifacts, and maintaining equipment accreditation and regulatory compliance. We support well over 500 imaging instruments that include 40 CT scanners, 21 MR scanners, and 17 PET scanners and work with radiologists in the selection of new imaging equipment and the implementation of new imaging techniques. Since diagnostic images are at the core of cancer diagnosis and response assessment, we have a strong philosophy to ensure that all imaging equipment throughout the network is operating at the optimum performance, per the overall mission of MSKCC to advance the state of cancer care.
The ideal candidate should have:
- PhD in physics, engineering, or computer science.
- Background on MRI physics.
- Pulse sequence programming in GE or Philips.
- compressed sensing, or deep learning is a plus.
- Position is open to computer scientists interested in applying deep learning to MRI.
If you have any questions about this job opportunity, please contact:
Ricardo Otazo, PhD
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.
Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.