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https://ischool.utoronto.ca/job/data-sciences-and-reproducibility-librarian-librarian-ii-or-iii/
Closes on Wednesday, May 12, 2021
Map and Data Library, University of Toronto Libraries
Toronto
Full Time
POSITION: *Data Sciences and Reproducibility Librarian*, Librarian II
or III
DEPARTMENT: Map and Data Library, University of Toronto
Libraries
DATE REQUIRED: August 1, 2021
**Are you looking for challenging, meaningful work in a supportive and
diverse environment? Are you looking for a career at one of Canada’s top
employers? Work where the world comes to think, discover and learn.
Consider a career at the University of Toronto.
* About the University of Toronto Libraries*
The University of Toronto Libraries system is the largest academic
library in Canada and is consistently ranked in the top ten among
academic research libraries in North America. The system consists of 42
libraries located on three university campuses: St. George, Mississauga,
and Scarborough. This array of college libraries, special collections,
and specialized libraries and information centres supports the teaching
and research requirements of over 300 graduate programs, more than 70
professional programs, and about 700 undergraduate degree programs. In
addition to more than 15 million volumes in 341 languages, the library
system currently provides access to millions of electronic resources in
various forms and over 31,000 linear metres of archival material. More
than 150,000 new print volumes are acquired each year. The Libraries’
data centre houses more than 500 servers with a storage capacity of 1.5
petabytes.
**
*The Opportunity*
Reporting to the Head of the Map and Data Library (MDL), the Data
Librarian will engage with users across the university as part of a
dynamic team that provides a growing range of data services across the
full research cycle.
Responsibilities are as follows:
* Support data services in coordination with other staff and
librarians in MDL and across UTL
* Provide in-depth research consultations on the discovery, analysis
and the use of statistical, qualitative analysis and/or GIS software
* Provide leadership for data services in one or more areas of data
specialization such as geospatial data, quantitative data,
qualitative data, data visualization, research data management, data
sciences, etc.
* Develop and deliver instructional material in one or more areas of
data specialization
* Initiate, lead and support special projects
* Liaise with academic programs involved in data-related research and
instruction
* Participate in collection development activities for datasets and
related material
*Required Qualifications*
**
* Relevant professional experience
* A degree from an accredited Masters level program in library and
information studies
* Demonstrated commitment to the values of inclusivity, diversity and
accessibility
* Demonstrated knowledge of and experience with common research
methodologies, including data analysis techniques & tools
* Ability to communicate with faculty, librarians and students about
data selection, management, and analysis
* Proven experience using one or more programming languages and tools
in support of data analysis, such as R, Python, Mathematica, Matlab,
Stata, and/or SAS
* 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
* Demonstrated experience or willingness to work as part of a team
* Strong written and oral communication skills and the ability to
develop clear, concise, accurate technical documentation
* Ability to work cooperatively and collegially in a culturally
diverse and rapidly changing environment
* Teaching and instruction experience
*Preferred Qualifications*
* Experience in an academic environment
* Familiarity with data stewardship and research data management
concepts, including the development of Data Management Plans and the
use of data repositories such as Dataverse
* Experience performing data selection, acquisition, reference in an
academic setting
* Proven project management skills
* Experience working with HTML, XML, JSON, and other markup languages
**
*Salary and Terms of Appointment: This is a Permanent Status Stream
position.*
Salary and appointment level are based upon experience and
qualifications. It is anticipated that this position will be filled at
the Librarian II or III level, subject to review and experience.
Minimum salary
<https://hrandequity.utoronto.ca/wp-content/uploads/sites/22/2019/07/AcadLib-Salary-Ranges-rev20190708.pdf>LIB
II: $72,367; LIB III: $92,613 (Salary is dependent on rank at hire and
qualifications).
Benefits: We offer generous benefits packages to all employees.
Additional information is available
at:https://hrandequity.utoronto.ca/careers/benefits/
<https://hrandequity.utoronto.ca/careers/benefits/>
*NOTE: Librarians at the University of Toronto are members of the
University of Toronto Faculty Association.*
**
*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.DATASCI] to
Library Human Resources at [log in to unmask]; or to Room 1140, 130 St.
George Street, University of Toronto Libraries, Toronto, Ontario M5S
1A5; or by fax to (416) 946-5543 by*May 12, 2021*.
All qualified candidates are encouraged to apply; however, Canadians and
permanent residents will be given priority.
*Diversity Statement*
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.
*Accessibility Statement*
The University strives to be an equitable and inclusive community, and
proactively seeks to increase diversity among its community members. Our
values regarding equity and diversity are linked with our unwavering
commitment to excellence in the pursuit of our academic mission.
The University is committed to the principles of the Accessibility for
Ontarians with Disabilities Act (AODA). As such, we strive to make our
recruitment, assessment and selection processes as accessible as
possible and provide accommodations as required for applicants with
disabilities.
If you require any accommodations at any point during the application
and hiring process, please contact [log in to unmask]
<mailto:[log in to unmask]>.
The University of Toronto Libraries thanks all applicants but will only
contact applicants selected for an interview.
*University of Toronto Library System:
**https://onesearch.library.utoronto.ca/*
<https://onesearch.library.utoronto.ca/>*
University of Toronto: **http://www.hrandequity.utoronto.ca/*
<http://www.hrandequity.utoronto.ca/>*
Policies for Librarians: **https://hrandequity.utoronto.ca/policies/*
<https://hrandequity.utoronto.ca/policies/>
--
Marcel Fortin
UTL interim advisor on RDM, Data Sciences
and Digital Research
Head, Map and Data Library
University of Toronto