Permanence-Track Position, Learning Specialist, Ancillary Academic Staff I Position in Academic Data and Statistical Consulting Specialist – Leddy Library

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City : Windsor

Category : See posting on website

Industry : Education

Employer : University of Windsor

Job Posting Number: 
002367AAS-2022-LED
Deadline Date: 
Tuesday, March 8, 2022 - 23:45

The University of Windsor's Leddy Library invites applications for a Permanence-Track Learning Specialist, Ancillary Academic Staff I position in the field of Academic Data and Statistical Consulting Specialist, commencing as early as July 1, 2022. This position is subject to final budgetary approval.

Reporting to the Head of the Information Services Department, the Academic Data and Statistical Consulting Specialist works with librarians and the campus community to develop and deliver innovative and flexible teaching and learning programs to support students, faculty, and staff in the analysis of statistical data and in the use of statistical applications. This learning specialist is situated within the Academic Data Centre (ADC) in Leddy Library and collaborates with other members of the ADC including the Geospatial & Data Analyst and the Data Librarian, who coordinates the services of the ADC.  Experience in a college or university, or comparable institutional setting is required. This position supports the satellite Statistics Canada Research Data Centre, and will require a security clearance. This position entails significant one-to-one consulting/mentoring/teaching with respect to the choice, application, and interpretation of data analysis techniques as well as the incorporation of data into research, teaching and learning. This also includes teaching and promotion of data literacy through stand-alone instruction sessions and as part of formal curricula. The successful candidate will help to support large-scale academic research projects with complex data needs, as well as participate in in-depth data analysis projects. The successful candidate will contribute to library initiatives. They will also have the opportunity to engage in professional and related academic activities, and service to the campus community.  The successful candidate will have a demonstrated understanding of and commitment to the principles of equity, diversity and inclusion and the ability to work with a diverse student, staff, and faculty population.

A minimum Master’s level degree in math and statistical sciences, or a quantitative science or social science field is required. The successful candidate must have extensive knowledge of multiple statistical software packages, such as SPSS, SAS, Stata, and R; this must include statistical programming skills. An understanding of and/or experience with microdata is necessary. Extensive experience with statistical methods and quantitative analysis is essential. The successful candidate will also have a strong understanding of the processes related to data collection and research methodologies (survey design, sampling, choosing and interpreting inferential statistical techniques). The successful candidate must have previous experience with conducting data reference interviews in a data services setting.

For further details about Leddy Library, visit our website at http://www.leddy.uwindsor.ca.

Application Requirements:

  • a letter of application, including a statement of citizenship/immigration status;
  • a detailed and current curriculum vitae;
  • a portfolio of up to three (3) examples of project work, writing or teaching reflecting professional experience relevant to the position, and;
  • three (3) current letters of reference forwarded directly by the referees to the Chair at the email listed below.

To ensure full consideration, complete an online application (http://www.uwindsor.ca/facultypositions) found on the job advertisement by March 8, 2021. The short-listed candidates may be invited to provide further information in support of their applications. Only those applicants selected for interview will be contacted. Applications may be considered after the deadline date; however, acceptance of late submissions is at the discretion of the appointments committee. 

PLEASE CLICK HERE TO COMPLETE AN ONLINE APPLICATION
When completing the online application, please reference
Position Number: 002367AAS-2022-LED

Questions and Reference Letters to be sent to:
Dr. Selinda Berg, Chair, Leddy Library Permanence-Track AAS Search Committee
E‑mail:  julie.ferguson@uwindsor.ca

The University of Windsor is a comprehensive research and teaching institution with more than 16,000 students. We are a welcoming community committed to equity, diversity, inclusion, and accessibility in our teaching, learning, and work environments.  In pursuit of the University's Employment Equity Plan, members from the designated groups (women, Indigenous/Aboriginal (First Nations, Métis, Inuit) persons, racialized persons/visible minorities, persons with disabilities, and persons of a minority sexual orientation and/or gender identity) are encouraged to apply and to self-identify. If you need an accommodation for any part of the application and hiring process, please notify the Faculty Recruitment Coordinator (recruit@uwindsor.ca). Should you require further information on accommodation, please visit the website of the Office of Human Rights, Equity & Accessibility (http://www.uwindsor.ca/ohrea). All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.

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