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.
New applications will be reviewed until the position is filled, but application before April 26, 2021 is encouraged to ensure full consideration. To apply, submit a CV, statement of research interests, and contact information for three references. For more information, please contact Jacques Finlay (jfinlay@umn.edu).
Required Qualifications:
A bachelor’s degree in information science, computer science, GIS, ecosystem science, natural resources, or a related field
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
