The new Minneapolis-St. Paul (MSP) Urban Long Term Ecological Research (LTER) project, funded by the National Science Foundation (NSF), is seeking an information manager to provide professional data management, web development, and GIS support to natural and social science researchers. The MSP-LTER team is building a long-term program of research related to urban nature. The information manager will play a central role in the project via support for LTER science through curating and archiving a wide variety of datasets from researchers, developing a public-facing data portal website, providing GIS support, and otherwise supporting researchers in information management.
Duties: 60%: Data management and curation. Build and deploy applications using programming or scripting languages to help researchers manage and archive their research data. Prepare research data and metadata. Develop workflows for data access, analysis, and modeling. 10%: Web development and maintenance. Developing a public-facing data portal. Updating web content. 25%: GIS Assistance. Helping researchers with GIS needs. 5%: Needs assessment and communication. Assessing and prioritizing researcher needs, communicating with researchers.
Required Qualifications: • A bachelor's degree in information science, computer science, GIS, ecosystem science, natural resources, or a related field or a combination of related education and experience in areas of information science, computer science, GIS, ecosystem science, natural resources to equal four years • Ability to build and deploy software applications using a programming or scripting language. • Familiarity with ecological data collection • Ability to work independently, effectively communicate with, and implement data policies, for a broad range of audiences • Experience and skill in GIS • Desire to help others work through information management challenges Commitment to support the project mission by addressing information management needs of diverse teams working with diverse data sets
Preferred Qualifications: • Database experience and familiarity with SQL. • Proficiency with R • Field experience with data collection • Experience with data processing and visualization (GitHub collaboration and R packages, for example), and developing workflows for data access, analysis, and modeling • Experience in one or more of the following: integration and use of public databases, remotely sensed and/or geospatial datasets, Google Earth Engine • Web development experience
Internal Number: 339998
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