Staff Associate

Columbia University’s Mortimer B. Zuckerman Mind Brain Behavior Institute (the Zuckerman Institute) brings together researchers to explore aspects of mind and brain, through the exchange of ideas and active collaboration. The Zuckerman Institute’s home will be the Jerome L. Greene Science Center on Columbia’s new Manhattanville campus. Situated in the heart of Manhattan, at full capacity the Zuckerman Institute will house approximately 47 laboratories employing a broad range of interdisciplinary approaches to transform our understanding of the mind and brain. In this highly collaborative environment, labs work together to gain critical insights into human health by exploring how the brain develops, performs, endures and recovers from trauma or disease.

A lab within the Zuckerman Institute is seeking to hire a Staff Associate II. The Staff Associate II will assist in developing the state-of-the art Magnetic Resonance Fingerprinting (MRF) methods as applied to epilepsy imaging in pediatric populations. The Staff Associate II is expected to aid in rapid clinical translation of such methods. Tangible deliverables expected would be contributions toward manuscript submissions and grant applications to disseminate and advance these topics.
Research responsibilities included but not limited to:

Design, implement and optimize MRF image acquisition and reconstruction methods for pediatric neuroimaging, including diffusion and perfusion MRI
Assist in Developing and maintaining an in-house image visualization tool for radiological MRF evaluation, written in Python and web-hosted
Integrate third party pipelines to serve as control for radiological evaluation
Coordinate in vitro and in vivo MRI experiments
Assist with deploy and support outcomes of vendor integrated software to beta sites for testing
Plan and conduct steps towards rapid clinical translation of developed MRF outcomes with our industrial partner
Contribute to manuscript writing, and inputs to grant applications
Participate fully in collaborative research
Liaise with the clinical collaborators to incorporate feedback
Create and maintain a well-document and tested code-base and user interface
Research and incorporate latest developments in MRF as required for pediatric neuroimaging

Minimum Qualifications
Bachelor’s degree with four years of professional experience

Preferred Qualifications:
Strong collaboration skills
Strong MR physics background
Prior experience with MRI pulse sequence design and reconstruction on GE platform – EPIC
programming, Orchestra SDK, TOPPE, Pulseq, Pulseq-GPI
Experience using Matlab/Python for signal and image processing
Outstanding writing, presentation, and communication skills
Ability to work independently and prioritize work
Ability to multi-task and follow through
Detail-oriented and organized

 

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