The Department of Medicine offers a unique opportunity for an Imaging Data Coordinator to support the ADRC Consortium for Clarity in Alzheimer’s and Related Dementia Research Through Imaging (CLARiTI) study. This position will collaborate with the network of Alzheimer's Disease Research Centers (ADRCs), which are spread across the country. The ADRCs have come together as a consortium to focus on a set of joint objectives that will propel the entire field. The consortium will use advanced brain imaging and fluid biomarkers to identify the multiple causes and their associated temporal characteristics that lead to eventual dementia. It is this additional disease burden that our consortium will bring to light by developing tools for more accurate diagnosis and staging of disease(s). The consortium, headquartered at UW-Madison, is funded by NIH and will bring resources at an unprecedented scale to the network of ADRCs. This position will serve as the Research Imaging Data Coordinator responsible for overseeing the acquisition, quality control, and management of imaging data to support research activities for the CLARiTI study. The incumbent will ensure the accuracy, consistency, and compliance of research data, while serving as a key resource for faculty, staff, students, and collaborating study sites. The coordinator will provide technical expertise in imaging data handling, database management, programming, and study documentation to facilitate high-quality research outcomes. This position may require some work to be performed in-person, onsite, at a designated campus work location. Some work may be performed remotely, at an offsite, non-campus work location. Candidates who demonstrate the following knowledge, skills, and abilities, will be given first consideration: Strong organizational and problem-solving abilities with attention to detail. Excellent communication skills for working with faculty, staff, students, and research collaborators. Strong knowledge of database management, programming, and data integration methods.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees