Faculty Position in Bioinformatics
Posted 04 Sep 2019
University of Kentucky Sanders-Brown Center on Aging
Highly motivated and talented individuals should submit their applications, as a single PDF file that includes a complete CV, a brief statement describing their area of expertise and career goals, current and future research plans, and the names and contact information of at least three references to: http://ukjobs.uky.edu/postings/246799.
The University of Kentucky invites applications for a full-time faculty position as an assistant, associate, or full professor with expertise in bioinformatics approaches to study neurodegenerative and/or vascular diseases in the aged brain. This key position will link extensive resources and expertise in aging and Alzheimer’s disease with strong programs in stroke, cardiovascular disease, and translational neuroscience in place at the University of Kentucky. Research programs that encompass basic and/or clinical neuroscience research, with expertise in development of new bioinformatics analysis/annotation algorithms, and analysis and interpretation of data from a variety of reference sources, including large-scale high-throughput omics-level biomedical datasets and clinical informatics systems, may fit particularly well into the research team.
The position is in the Sanders-Brown Center on Aging, which also includes the University of Kentucky Alzheimer’s Disease Center that provides outstanding resources that can support innovative research (e.g., longitudinally followed clinical cohorts, imaging, biomarkers, genetics, biosample specimens, and statistical support). Other closely affiliated programs include the Magnetic Resonance Imaging and Spectroscopy Center, the Kentucky Neuroscience Institute, and the Center for Clinical and Translational Science. There is strong potential to link multimodal data including neuroimaging, genetics and other data elements, in addition to an exceptionally strong team in place that are eager and collegial potential collaborators.
Candidates must have a Ph.D., M.D. ,or M.D./Ph.D. degree, demonstrating outstanding achievement. Candidates ideally will have an externally funded, independent research program. Candidates at the associate or full professor level should have a track record of extramural funding and scholarly output commensurate with the level of their appointment. Preferred skills/knowledge/abilities include development/management/analysis of large datasets, systems biology, computational/mathematical approaches, strong record of scholarly activity, communication skills, technical expertise, and record of collaboration.