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Data Visualization Librarian

Posted to IASSIST on: 
University of Toronto
Employer URL:

The University of Toronto Libraries (UTL) is seeking a Data Visualization Librarian to develop programs and services to support the emerging data visualization needs of students and faculty at the University of Toronto.

Reporting to the Head of the Map and Data Library, the Data Visualization Librarian will engage with users across the university and work collegially within UTL to develop a strategic approach to this new area of library services, including conducting needs assessments to inform service, technical, and infrastructural requirements.

Other responsibilities are as follows:

  • Supports students and faculty with their data visualization research and practice via consultations, and through teaching and instruction.
  • In collaboration with other UTL librarians, develops and offers software instruction to support teaching, learning, and research at the University of Toronto
  • Leads the writing and publishing of data visualization instructional tutorials, courses, and supplementary material
  • In collaboration with other UTL librarians, contributes to the broad range of data services that support academic researchers.
  • Collaborates with and contributes expertise to student and faculty data, statistical, and visualization projects in a range of disciplines
  • Develops and reports on assessment measures for services
  • Through various levels of engagement and partnerships, integrates data visualization services with existing services at the Map and Data Library and UTL
  • Actively engages in conversations and forums around data visualization on a national and international basis


  • ALA-accredited Master of Library Science degree (or equivalent)
  • Experience using data visualization tools such as D3.js, Tableau, Mathematica, and R.
  • Proven understanding of best practices for creating effective visualizations
  • Experience using statistical and Geographic Information Systems (GIS) software such as SAS, SPSS, R, ArcGIS, QGIS, etc.
  • Demonstrated knowledge of and experience with common quantitative research methodologies and descriptive statistics, including data analysis tools & techniques
  • Experience with data cleanup techniques and tools such as OpenRefine
  • Experience or knowledge of the academic research process
  • Experience or knowledge of principles of information literacy and how they can be applied in an academic setting
  • Demonstrated commitment to the provision of high-quality public service
  • Excellent analytical and problem-solving skills
  • Ability to work independently and effectively with technology in a fast-paced environment while managing competing priorities
  • Strong written and oral communication skills and the ability to develop clear, concise and accurate technical documentation
  • Ability to work cooperatively and collegially at all levels in a culturally diverse and rapidly changing environment


  • One to three years of relevant academic library experience
  • Experience with scripting and programming languages such as Python, and JavaScript
  • Experience with qualitative research methods and software such as NVivo
  • Familiarity with survey design
  • Teaching and instruction experience
  • Knowledge of digital preservation and research data management best practices
Application Procedure: 

Application Materials Required:

A cover letter, curriculum vitae, and contact information for three references of which at least two have supervised your work. Please send a single electronic file (MS Word or pdf) with a file name convention of [Surname, FirstName.DataVisLib] to Library Human Resources at; or to Room 1140, 130 St. George Street, University of Toronto Libraries, Toronto, Ontario M5S 1A5; or by fax to (416) 946-5543 by Thursday September 15, 2016.

The University of Toronto is strongly committed to diversity within its community and especially welcomes applications from racialized persons / persons of colour, women, Indigenous / Aboriginal People of North America, persons with disabilities, LGBTQ persons, and others who may contribute to the further diversification of ideas.
All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.
The University of Toronto Libraries thanks all applicants but will only contact applicants selected for an interview.

Rank and salary will be commensurate with experience and academic/professional qualifications
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