Data and Statistics Librarian

Posted to IASSIST on: 2018-12-20

Employer: University of Toronto

Employer URL:


The University of Toronto Libraries seeks a Data and Statistics Librarian for a one-year term appointment or secondment. Reporting to the Head, Map and Data Library, 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 Data and Statistics Librarian will direct quantitative and qualitative data library services. Instruction in statistics and data use will be an important focus for this position. The Data and Statistics Librarian will contribute actively to furthering the mandate and success of the University of Toronto Libraries. The Data and Statistics Librarian will cultivate strong connections with the local, national and international statistical and data communities.

Required Qualifications

  • A degree from an accredited Master’s level program in library and information studies
  • At least one year’s relevant professional experience as an academic librarian
  • 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: 2019-05-22