Job Description
Required Qualifications (as evidenced by an attached resume):
Bachelor's Degree (foreign equivalent or higher) in Psychology, Data Science, Neuroscience, or a related field. Prior experience with the acquisition of social, cognitive, and physical data - including social network, quantitative gait, and neuropsychological assessments. Prior experience with training and managing clinical research staff. Prior experience with setting up and managing complex clinical research databases, including REDCap databases. Proficiency in STATA, SPSS, Python, R or similar programming/statistical languages. Previous experience or a strong interest in aging research, neurodegenerative diseases (such as Alzheimer's, Parkinson's, or dementia), or neuroscience. Prior experience with neuroimaging data processing tools, including FSL, SPM and FreeSurfer. Familiarity with data-driven statistical analyses (such as multivariate covariance-based analyses).
Preferred Qualifications: Knowledge of aging-related biomarkers and clinical and neuroimaging aging research and methodologies. Familiarity with high-performance computing and cloud computing tools.
Brief Description of Duties: We are seeking a highly motivated and skilled Clinical Research and Data Manager to join the Social, Cognitive, and Physical Functions in Aging Lab (aka Blumen Aging Lab) in the Department of Neurology. This role is focused on managing clinical research studies that advance our understanding of aging and neurodegenerative diseases - and the data collected in these studies (i.e., social, cognitive, physical and brain/neuroimaging data). The successful candidate will be responsible for supervising data collection and managing complex data sets. The successful candidate will also work with and learn from other members of the Blumen Aging Lab (and the Division of Cognitive and Sensorimotor Aging) to implement data processing and analytic techniques to uncover patterns, trends, and relationships in aging and neurodegenerative disease. The successful candidate will have strong problem-solving skills, attention to detail, and the ability to work independently and as part of a team.
• Supervise and manage data collection and staff in clinical research studies of aging and neurodegenerative disease.
• Assist with the preparation of documents related to research compliance (e.g. IRB, DSMB) and internal/external grant applications.
• Coordinate lab meetings, symposia, workgroups, and conferences.
• Set up, clean, and manage databases with complex data sets.
• Work with and learn from researchers, clinicians, and experts in aging and neurodegenerative diseases to design and implement data processing pipelines and analytic techniques (both data-driven and hypothesis-based approaches.
• Present findings in meetings and contribute to scientific publications and conference presentations.
• Other duties as assigned.
Special Notes: The Research Foundation of SUNY is a private educational corporation. Employment is subject to the Research Foundation policies and procedures, sponsor guidelines and the availability of funding. FLSA Exempt position, not eligible for the overtime provisions of the FLSA. Minimum salary threshold must be met to maintain FLSA exemption.
For this position, we are unable to sponsor candidates for work visas.
Resume/CV and cover letter should be included with the online application.
Stony Brook University is committed to excellence in diversity and the creation of an inclusive learning and working environment. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, familial status, sexual orientation, gender identity or expression, age, disability, genetic information, veteran status and all other protected classes under federal or state laws. If you need a disability-related accommodation, please call the university Office of Equity and Access (OEA) at [click to reveal phone number](631) 632-6280 or visit OEA.
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Job Tags
Full time, Work at office, Visa sponsorship, Work visa,