Data Services Resident Librarian
Created: April 2, 2015
University of Chicago Chicago0 other recent jobs
DescriptionThe University of Chicago Library is seeking applications for a two-year post-graduate residency in Data Services with the foundational knowledge and leadership skills to develop data services at the University of Chicago Library. Depending on the candidate’s background, the position will be situated in the Joseph Regenstein Library, which houses the Library’s humanities and social sciences collections, or the John Crerar Library for medicine, biological sciences and physical sciences.
The Data Services Resident Librarian will identify and implement strategies to meet the growing need for assistance with statistical databases; specialized software; GIS and data visualization; and qualitative data analysis, for example records of interviews and ethnographic field notes; data manipulation analysis and media coding tools. This position is contingent on the availability of funding.
Working closely with subject librarians, technical staff, and reference and instruction staff, the Data Services Resident Librarian will:
- Promote data resources and services.
- Provide instruction, training, consultation, and outreach in finding, manipulating, analyzing, and managing data for use in research and teaching.
- Participate in selection, acquisition, management, and delivery of data resources.
The Data Services Resident Librarian will have opportunities to learn and develop professional skills and knowledge within the context of a highly integrated, collaborative, and centralized major academic research library through committees, professional development opportunities, and other activities.
- Recent MLS or MLIS from an accredited school of library information science and an advanced subject degree in the social sciences, sciences, or other relevant field; or a recent PhD in a relevant discipline.
- Experience using quantitative, qualitative and/or geospatial data resources.
- Teaching experience in a library or academic setting.
- Knowledge of data management planning.
- Basic familiarity with software for statistical, geospatial, and/or qualitative analysis (e.g. ICPSR, SAS, SPSS, Stata, R, ArcGIS, Atlas.ti, NVivo).
Last updated: Tuesday, February 28, 2017 23:42 UTC
How to apply
Published: Thursday, April 2, 2015 15:20 UTC