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.
 
For the 30th year, MSK has been named a top hospital for cancer by U.S. News & World Report. We are proud to be on Becker’s Healthcare list as one of the 150 Great Places to Work in Healthcare in 2019, as well as one of Glassdoor’s Employees’ Choice Best Place to Work for 2019. We’re treating cancer, one patient at a time. Join us and make a difference every day.

Job Description

We Are:

The Department of Medical Physics has an exciting opportunity for a data analyst. You will report to the director of quantitative imaging and deputy service chief of predictive informatics.

We investigate the use of Magnetic Resonance Imaging (MRI) in clinical applications including assessment of treatment response. We work with a multidisciplinary team of Physicians and Scientists who are involved in cancer care.

The work we do is challenging, transformative, and of high value for a cancer center. The outcome will also be of critical importance for the clinical image analysis and reporting workflow to colleagues in the Departments of Radiation Oncology and Radiology.

You will:
 

• Analyze the data to determine treatment response spanning a time range from weeks to multiple years depending on the tumor type and treatment.
• Use Graphical presentations for an overview of treatment response including lesion volume, physiological and metabolic responses.
• Be involved in integrating multi-parametric and multi-modality imaging data. The results from the above-mentioned analyses will be presented at National and International Conferences and the original research will be published in peer-reviewed Journals.

You are:

• Experienced in coding in Matlab and/or python. Both Windows and Linux platforms are available.
• Work with in-house software in Matlab (MRI-QAMPER) with routines to analyze advanced diffusion weighted (DW) and dynamic contrast enhanced (DCE) -MRI data obtained from cancer patients.
• Encouraged to work with post-doctoral fellows and contribute towards abstracts and manuscripts as a co-author.

You need:

• Advanced training in research including new analysis methods.
• Bachelor's degree or equivalent experience.
• Skills in quantitative research
• Proficiency with software, such as ImageJ, MRIcron, SPM, ITK Snap, Free surfer, XNAT, Tableau and/or Redcap, is desirable.
• Experience with TensorFlow or PyTorch for adapting deep learning algorithms for cancer imaging preferred. #LI-POST

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.