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Location

Bronx, NY | United States

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Job description

We are seeking a Study Coordinator to assist in the lab's various studies on a daily basis, to ensure that each project is completed in accordance with the appropriate protocol. Responsibilities include overseeing participant scheduling and recruitment; proper collection of EEG, MRI, genetic, and neuropsychological data; archiving data and maintaining the CNL database of more than 1800 participant records; and providing assistance in the preparation of data for presentations, publications, and other purposes. Opportunities to contribute to our research in a meaningful way will be abundant.

• Oversees the recruitment, screening, scheduling, enrollment, interaction with, and consenting of subjects.
• Monitors projects (including scheduling and interacting with participants) and provides updates.
• Prepares and submits materials for the Institutional Review Board (IRB) and other regulatory bodies as
• required by the protocol to ensure compliance in a timely fashion.
• Assists with regulatory matters (such as data safety and monitoring and board meetings).
• Organizes and maintains documentation of participant and study data.
• Manages data collection and databases.
• May provide clerical and technical guidance to ensure adherence to research protocols and quality of
• information received.
• Assists faculty by recording during data collection, data review and data entry, as appropriate for study
• Interacts with co-workers, visitors, and other staff consistent with the values of Einstein

• BA or BS
• 1-2 years of related experience preferred.
• Database management experience desirable
• Prior experience with human subject research protocols (especially involving EEG) preferred

USD $45,000.00/Yr.
USD $50,000.00/Yr.

The Cognitive Neurophysiology Laboratory is comprised of a multidisciplinary team of investigators, post-doctoral fellows, and students using psychophysics, EEG, and MRI to study attention, auditory and visual perception, multisensory processing, and executive function, in typical and clinical populations. It is our goal to make significant advances in understanding these processes with the use of cutting edge methodologies and data analytic techniques. In turn, we seek to apply this understanding to explore the processing deficits underlying clinical and developmental disorders such as autism, schizophrenia, and drug addiction. 

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