|Working Title||Sevilleta Information Manager|
The Sevilleta (SEV) Long-Term Ecological Research Program seeks an Information Manager to bridge scientific research and information technology in the management of data from a large, long-term research program focused on dryland ecosystems at the Sevilleta National Wildlife Refuge near Socorro, New Mexico. The program spans research in ecology, evolution, ecohydrology, climate science, plant and animal physiology, biogeochemistry, microbiology, and geography. The SEV LTER has been funded by the U.S. National Science Foundation since 1988.
The Information Manager will be responsible for the integrity of the database and accessibility of the data for LTER researchers, collaborators in national and international networks, and the public at large. The position also involves training scientists in use of the information management system. The Information Manager will contribute to building strengths in scientific research, data analysis and visualization, education, and research syntheses across sites within the US LTER network. To these ends, the position requires regular interactions with SEV LTER investigators, students, and staff as well as coordination with the US Fish and Wildlife Service at the Sevilleta National Wildlife Refuge and with researchers and information managers in the national LTER network.
See the Position Description for additional information.
|Conditions of Employment|
Master's degree; at least 3 years of experience directly related to the duties and responsibilities specified.
Completed degree(s) from an accredited institution that are above the minimum education requirement may be substituted for experience on a year for year basis.
- Master’s degree in Environmental Science, Biology, Computer Science, or Physical Science or equivalent experience
- PhD in Ecology or a related field
- Experience managing ecological datasets, including data and metadata
- Experience with data management tools (MySqL, XML)
- Experience with Windows and MacOS X-based systems
- Strong skills in written and verbal scientific communication
- Demonstrated ability to work as part of an interdisciplinary team of students, staff and researchers
- Demonstrated ability in project management involving diverse tasks and diverse staff
- Experience with programming (Matlab, Python, Perl)
- Experience with Unix variants and shell programming
- Experience in statistical analysis and coding (R, SAS, or other coding language)
- Experience building and managing web sites (static and dynamic) using common languages and standards
- Proficiency in development and maintenance of information in the Drupal Ecological Information Management System
- Experience managing large relational databases containing more than 25 years of data
- Experience with designing experiments and longitudinal observational studies
|Campus||Main - Albuquerque, NM|
|Department||Biology Department (048A)|
|Staff Type||Term - Full-Time|
|Term End Date||1 year from date of hire|
|Pay||$3,434.31 - $5,151.47 Monthly|
|Benefits Eligible||This is a benefits eligible position. The University of New Mexico provides a comprehensive package of benefits including medical, dental, vision, and life insurance. In addition, UNM offers educational benefits through the tuition remission and dependent education programs. See the Benefits home page for a more information.|
|ERB Statement||Temporary and on-call employees working an appointment percentage of 26 (.26 FTE) or greater, per quarter, will be eligible to earn retirement service credits and thus are required to make New Mexico Educational Retirement Board (NMERB) contributions. More information pertaining to your FTE and NMERB contributions can be reviewed on the NMERB Guidelines Clarified webpage.|
|Background Check Required||No|
|For Best Consideration Date||8/25/2017|
|Application Instructions||Please provide a resume and cover letter with your application.|
The University of New Mexico is committed to hiring and retaining a diverse workforce. We are an Equal Opportunity Employer, making decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability, or any other protected class.