Research Assistant for the Cognitive Neuroimaging Laboratory, Department of Neuroscience - Georgeto
Research Assistant for the Cognitive Neuroimaging Laboratory, Department of Neuroscience - Georgetown University Medical Center
Georgetown University Medical Center (GUMC) is an internationally recognized academic medical center whose missions of research, teaching and patient care are carried out with a strong emphasis on community outreach and the Jesuit principle of cura personalis — care of the whole person. GUMC consists of the School of Medicine, the School of Nursing & Health Studies, Georgetown Lombardi Comprehensive Cancer Center, and Biomedical Graduate Research and Education.
The Research Assistant for the Cognitive Neuroimaging Laboratory supports activities regarding the collection of behavioral, cognitive, and multimodal neuroimaging data for ongoing project(s). This position is ideal for someone interested in neuroscience, especially neurodegenerative disease, and neuroimaging. The research team includes neuroscientists, neurologists, clinical psychologists, and medical doctors. The Research Assistant receives intense training from our local team at Georgetown University and our collaborators at UCSD and other institutes, and works closely with Dr. Xiong Jiang and a postdoctoral fellow in the lab.
The Research Assistant has duties that include but are not limited to:
- Interviews and schedules subjects.
- Conducts behavioral and neuropsychological tests.
- Collects MRI data, keeping track of data collection and quality.
- Performs general lab management - for example, IRB related paperwork.
- Trains to analyze behavioral and MRI data will be provided.
- Bachelor's degree in psychology, cognitive science, neuroscience, computer science, engineering, physics, or social science
- Very organized, self-motivated multi-tasker.
- Strong communication skills
- Preference for experience with patient population
Strong math and computer skills (e.g., MATLAB, Linux) and programming experience are not required, but preferred if you are also interested in learning how to analyze MRI data.
Applicants must submit a CV and a cover letter with a statement of interest and the names and email addresses of three professional references.
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