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MRI Engineer

Memorial Sloan
$120,200.00-$192,300.00
United States, New York, New York
200 Hudson Street (Show on map)
Nov 12, 2024

MRI Engineer
Job Locations

USA-NY-New York


Requisition ID
2024-78152

Category
Allied Health - Medical Physics and Radiation Therapy

Pay Range
$120,200.00-$192,300.00



Pay Range

$120,200.00-$192,300.00


Company Overview

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 pursueour missionat MSK and around the globe.

Please review important announcements about vaccination requirements and our upcoming EHR implementation by clicking here.

Important Note for MSK Employees:

Your Career Hub profile is submitted to the hiring team as your internal resume. Please be sure your profile is fully complete with your skills, relevant experience and education (if required). Click here to learn more. Please note, this link is only accessible for MSK employees.



Job Description

Exciting opportunity at MSK: Join our team as an MRI Engineer/Research Associate, Quantitative MRI and Deep Learning! 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.

Role Overview:

    Develop quantitative MRI methods broadly applied to cancer diagnosis and response assessment.
  • Collaborate with MSK Radiologists on developing a combination of pulse sequence programming, optimization, and new deep learning approaches as well as application of developed technology to clinical cancer cases.
  • Develop and code software programs, algorithms, and automated processes to implement new MRI technology into clinical scanners.
  • Interpret and communicate insights and findings from analysis and experiments to product, service, and business managers.
  • Participate in running imaging experiments.
  • Debug and troubleshoot software to resolve defects.
  • Build effective working relationships with development and cross-functional team members.
  • Author and/or contribute to technical design documentation, release notes, bug fix documentation.
  • Perform and design testing protocols to ensure that the product is fully tested.

Key Qualifications:

  • Master's degree in Electrical Engineering, Biomedical Engineering, Computer Science, or a related area.
  • Background in MRI physics, pulse sequence programming in GE EPIC, optimization methods and deep learning is a plus.

Core Skills:

  • Computer programming expertise in Matlab and Python, and C++ (required)
  • Outstanding attention to detail and strong analytical and interpersonal skills.
  • Planning and prioritizing work to meet commitments aligned with organizational goals.
  • Critical thinking and problem-solving to ensure unforeseen issues are handled appropriately and resolved in a timely fashion.
  • Excellent communication skills and the ability to interact across all levels in a confident, professional manner.
  • Enthusiasm and dedication to MSK's vision, mission and values.

Additional Information:

  • Location: Joy Building, 321 E 61st Street, NYC
  • Schedule: Hybrid, able to come on site 2-3 days a week, if needed.

Pay Range: $120,200 - $192,300

Helpful Links:

  • MSK Compensation Philosophy
  • Review our great benefits offerings

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.

#LI-Hybrid



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.



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