The Department of Environmental Sciences at the University of Virginia (UVA) invites applications for a Research Scientist (Information Manager) to lead information and data management for the Virginia Coast Reserve Long Term Ecological Research project (VCR LTER). VCR LTER is an interdisciplinary environmental research program based at UVA and supported by the National Science Foundation (NSF) since 1987 to advance knowledge of coastal ecosystems and their responses to long-term change. As part of the LTER Network—one of the longest-running ecological research networks in the world—VCR LTER generates long-term datasets that advance understanding of ecological dynamics in a complex coastal landscape. The Information Manager (IM) plays a central role in supporting discovery, synthesis, and long-term stewardship of these data. The IM is a core member of the VCR LTER team, working closely with faculty, postdoctoral researchers, graduate students, and collaborators across multiple institutions to ensure that data are well-documented, high-quality, accessible, and reusable—both within the project and across the broader ecological research community. Location: This is a full-time position based at UVA in Charlottesville, VA, with periodic travel required to the VCR LTER site at UVA’s Coastal Research Center on Virginia’s Eastern Shore. About the role: The VCR LTER IM (Research Scientist) oversees the full lifecycle of diverse ecological data, from acquisition and quality control through documentation, standardization, publication, and preservation. A main priority is stewardship of core LTER datasets such as long-term biological, oceanographic, hydrologic, geologic, and meteorological data. In addition, the IM serves as a collaborator and advisor—helping researchers design effective data workflows, harmonize data to support synthesis and modeling efforts, and translate information management best practices into practical, researcher-friendly solutions. We are especially interested in candidates who understand the value of ecological data as observations of organisms, processes, and environments, and who appreciate how careful data stewardship enables discovery and research productivity across time and disciplines.
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Job Type
Full-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees