Statistics and Data Librarian, Librarian II or III

Posted to IASSIST on: 2015-06-25

Employer: University of Toronto Libraries

Employer URL:


The University of Toronto Libraries seeks a Statistics and Data Librarian to bring experience, energy, and vision to statistical and data services. Reporting to the Head, Map and Data Library, this position will be one of a growing team that provides a range of data services across the full research cycle. The successful candidate will work cooperatively to help provide consultation, research support and instruction in the creation, discovery and use of published statistics and numeric data at the University of Toronto. The Statistics and Data librarian will direct quantitative and qualitative data library services, and will coordinate data services and collection development across all three University of Toronto campuses. Instruction in statistics and data use will be an important focus for this position. The Statistics and Data librarian will contribute actively to furthering the mandate and success of the University of Toronto Libraries. The Statistics and Data Librarian will cultivate strong connections with the national and international statistical and data, communities, including active participation and representation with the Data Liberation Initiative (DLI). The Statistics and Data Librarian will also play an active role supporting faculty in their data research management requirements, assisting them to develop Data Management Plans and participating in scholarly research projects with faculty and librarians.

Required Qualifications:

  • Master of Library and Information Studies (MLIS) or equivalent ALA-accredited degree
  • Experience performing data selection, acquisition, reference, and instruction in an academic setting
  • Experience working with datasets and the ability to communicate with faculty, librarians and students in a range of disciplines regarding their applicability
  • Proven knowledge and background in statistics and data services with the ability to use and apply quantitative and qualitative research tools
  • Demonstrated knowledge of and experience using statistical software such as SPSS, SAS, STATA, or R
  • Ability to work productively with a variety of different constituencies and stakeholders, including faculty, staff and students
  • Strong web development knowledge
  • Excellent team building expertise and communication/collaboration skills
  • Proven project management skills
  • Outstanding service orientation
  • Demonstrated flexibility, creativity and ability to innovate and adapt to a changing environment

Preferred Qualifications:

  • Experience using programming tools such as Python
  • Familiarity with data stewardship and development of Research Data Management Plans
  • Familiarity with GIS software and geospatial data
  • Experience using Dataverse and Archivematica
  • Ideally, candidates will be able to demonstrate a rich research portfolio

Archived on: 2015-06-26