The Institute for Pediatric Neuroscience (IPN) at the NYU Child Study Center (www.aboutourkids.org) is currently seeking applications for a 2-year neuroimaging research assistant position, starting this summer. At the IPN, a multidisciplinary team uses a variety of MRI approaches (e.g., resting state fMRI, task-based fMRI, simultaneous EEG/fMRI, diffusion tensor imaging, cortical thickness) to examine brain function and development in children, adolescents and adults – healthy individuals, as well as those with psychiatric disorders such as Attention-Deficit/Hyperactivity Disorder (ADHD) and Autism. The IPN provides a highly collaborative environment where research assistants have the opportunity to gain excellent research experience, with the potential for publication. Salary is competitive and benefits include health, vision, and dental.

Responsibilities include but are not limited to: MRI scanning, MRI and behavioral data handling, MRI image quality assessment and data processing, data analysis and scripting, database management and systems administration for the IPN Linux server.

Requirements and expectations: Applicants should have a B.S. or B.A. in neuroscience, biology, psychology, computer sciences, engineering or other related scientific fields. The ideal candidate will have strong interpersonal skills, prior research experience, strong written and oral communication, and the ability to work as a member of a team as well as independently. Working knowledge of Unix/Linux environments and experience in BASH, python or a similar scripting language is strongly preferred.

To apply, please contact Clare Kelly, Ph.D. (clare.kelly@nyumc.org), Adriana Di Martino, M.D. (adriana.dimartino@nyumc.org) AND Emily Brady (emily.brady@nyumc.org) attaching a resume or CV, including contact details for 3 references.

New York University Langone Medical Center is an equal employment/affirmative action employer and does not discriminate on the basis of race, color, religion, gender, sexual orientation, marital/or parental status, age, national origin, citizenship, disability, veterans status, or any other classification protected by applicable Federal, State, or Municipal Law.