Company Overview

At Memorial Sloan Kettering (MSK), we're not only changing the way we treat cancer, but also the way the world thinks about it. By working together and pushing forward with innovation and discovery, we're driving excellence and improving outcomes. We're treating cancer, one patient at a time. Join us and make a difference every day.

In compliance with applicable New York and New Jersey State regulatory authorities, COVID-19 vaccination (2 doses of either the Pfizer or Moderna vaccine or one dose of the Johnson & Johnson vaccine) is mandatory for all MSK employees, contingent workers, and volunteers. Exceptions are permitted for those employees who request and receive an approved medical or fully remote exemption.

*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 five months after receiving the second dose of either the Pfizer or Moderna vaccine or two months after the J&J vaccine.

Job Description

Postdoctoral Research Fellow/Associate in Body Diffusion MRI

The MRI Physics group at Memorial Sloan Kettering Cancer Center (MSK) offers a postdoctoral research fellow or research associate (according to previous experience) position in body diffusion MRI. The successful candidate will work under the supervision of Ricardo Otazo.

The main goal of the position is to develop new diffusion MRI methods for the pelvis and abdomen, which includes a combination of pulse sequence programming and coding of new image reconstruction algorithms (multidimensional, deep learning). The project also includes application of developed technology to clinical cancer cases, in collaboration with body radiologists.

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.

Salary will be commensurate with experience and the cost of living in New York City. Subsidized housing close to the MSK campus is available.

Facilities: The MRI Physics group 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 MRI Physics group also has 3 high performance computer servers with multiple GPUs for image reconstruction and analysis tasks.

Requirements: Candidates should have a 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. We also invite computer scientists interested in applying deep learning to MRI.

To apply: Please submit a CV and brief research statement to:

Ricardo Otazo, PhD

otazotoj@mskcc.org

#LIPOST

Closing

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.