Neuroimaging Research Scientist

Rutgers - Robert Wood Johnson Medical School
New Brunswick, New Jersey
Commensurable with experience
Feb 19, 2020
Apr 19, 2020
Position Type
Full Time

Department of Neurosurgery at Rutgers University and Robert Wood Johnson Medical School is look for a full time research scientist who has expertise in neuroimaging. This is multi-year position of renewal contingent upon successful performance. The current research in the lab focuses on the evaluation of how pathological conditions affect the central nervous system using advanced imaging techniques including MRI, CT, and PET. The imaging data is combined with electrophysiological data such as EEG, MEG and neuropsychological testing results to fully assess the impact of the disease on the brain. 

The position provides an excellent opportunity to further develop research skills in computational biology and human neuroscience. The successful applicant will be an eager learner with strong computer programming abilities.
Responsibilities Include:
  • aiding development of computational algorithms to process neuroimaging data and perform statistical analyses
  • assisting lab members with designing and implementing conducting neuroimaging experiments
  • supervising entry-level research team members. 


PhD in Neuroscience, Electrophysiology, Biomedical Engineering, or Computer Science, or a related discipline; plus at least three (3) years of postdoctoral research experience in neuroimaging techniques and/or application;

Demonstrated competence in investigation, research and project management. Capable of designing and implementing neuroimaging protocols such as fMRI or resting state fMRI in either human or animal subjects.

Demonstrated ability to design and implement computational techniques in processing neuroimaging including CT and MRI modalities.

Expert ability in programming languages are highly desirable.

Theoretical and technical knowledge of the research subject matter; demonstrate the ability to independently form hypotheses; design and perform experiments; develop new techniques and ability to conduct bench research with a low level of supervision;

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