Associate Research Scientist

The Division of Experimental Therapeutics is looking for a motivated and creative Associate Research Scientist to work as part of a multi-disciplinary team to develop novel non-invasive brain stimulation approaches for the treatment of schizophrenia and other severe neuropsychiatric disorders. These studies require a well-developed background in event-related potential and fMRI based research, coupled with expertise in combined eye tracking and EEG recording and personalized high-definition MR-guided electrical field modeling. The successful candidate will also have at least 5 years experience in research focusing on neurocognitive dysfunction in schizophrenia.

Duties:

• Preparation of human subjects protocols involving ERP, fMRI and non-invasive brain stimulation.
• Implementation of study procedures and analytic pipelines
• Independent analysis of EEG and fMRI data sets.

PhD, MD, or equivalent degree in the neurosciences or a related area

Associate research scientist requires a track record of publication and/or presentations at major scientific meetings with regard to neural bases of social cognitive dysfunction in schizophrenia and the use of non-invasive brain stimulation targeted at underlying neural pathways.

Preferred qualifications:

• Expertise in neurophysiological data collection and in surface and source-based analysis of neurophysiological data sets.
• Experience in the design and analysis of fMRI data sets.
• Expertise in the design and implementation of experiments using combined eye tracking and EEG data and in calculation of fixation-related activity.
• Expertise in the design and implementation of combined transcranial electrical stimulation approaches and both EEG- and fMRI-based data acquisition, and in MR-guided e-field modeling.

Columbia University is an Equal Opportunity Employer / Disability / Veteran

Pay Transparency Disclosure

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.