Dr. Anne Berry’s laboratory at Brandeis University is looking for a full-time research assistant to work on human brain imaging and behavioral studies of aging. The position will introduce the research assistant to a wide array of theories and methods in cognitive aging, neuroscience, and Alzheimer’s disease research, including PET and MRI neuroimaging methods, providing a unique opportunity to develop research skills and engage in professional development with a large collaborative team. The position would be a good fit for individuals aiming to gain intensive research skills prior to graduate school, or pursuing a career in research or medicine. Lab website: Job Responsibilities: Runs behavioral data collection on Brandeis campus Runs neuorimaging data collection at MGH/Martinos center Processes and analyzes behavioral data Processes and analyzes neuroimaging data Completes administrative work supporting human subjects testing (IRB, scheduling, subject payment) Attends and completes actions based on group meetings and one-on-one meetings specific to project. Expected commitment for this position is 2 years, but the position may be extended. The position will begin as early as May 2025, though the start date is flexible. Requirements: An undergraduate degree in psychology, neuroscience, computer science or related field is strongly preferred. Prior research experience Attention to detail and strong communication skills Good “bedside manner” and interest in older adult populations Flexibility in work hours to accommodate participant or scanner availability. Ideally, candidates will have prior experience with brain imaging and behavioral testing in humans. Experience analyzing imaging data, or a background in computer programing is a plus. Equal Opportunity Statement Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class")
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