Date Posted: 08/15/2025
Req ID: 44849
Faculty/Division: Faculty of Arts & Science
Department: ARTSC: Ofc of the Dean
Campus: St. George (Downtown Toronto)
Position Number: 00057963

ABOUT US:

The Faculty of Arts & Science is the heart of Canada’s leading university and one of the most comprehensive and diverse academic divisions in the world. The strength of Arts & Science derives from our combined teaching and research excellence in the humanities, sciences and social sciences across 29 departments, seven colleges and 46 interdisciplinary centres, institutes and programs.
We can only realize our mission with the dedication and excellence of engaged staff and faculty. The diversity of opportunities and perspectives within the Faculty reflect the local and global landscape and the need for curiosity, innovative thinking and collaboration. At Arts & Science, we take pride in our legacy of innovation and discovery that has changed the way we think about the world.
Arts & Science offers many resources to support teaching and students’ learning. We strive to encourage and enable exemplary and innovative teaching, enrich and support student academic transition, and build connections between academic and non-academic learning. We support instructors and academic units in translating their goals into effective practice, building teaching expertise and capacity, and designing pedagogical resources and approaches.
The Teaching & Learning team in the Faculty of Arts & Science supports instructors and academic units in translating their goals into effective practice, building teaching expertise and capacity, conducting research and designing pedagogical resources, initiatives and approaches. The Computation and Data Science Education (CDSE) initiative aims to catalyze and support the integration of computation and data science across disciplines by providing pedagogical and technological support to faculty, postdoctoral fellows, and graduate students. In addition to supporting individual teaching teams and curricular efforts, the initiative will also serve as an interdisciplinary hub to bring together educators engaged in computation and data science teaching to share their experiences, best practices, and technological approaches.

ESSENTIAL QUALIFICATIONS:

• Bachelor’s Degree in Computer Science or Data Science or acceptable combination of equivalent experience.
• Minimum four years of related experience in educational development and/or training and development and experience with technical support, troubleshooting, and editing
• Experience in application support, specifically with Learning Management Systems (LMS) and Content Management Systems (CMS)
• Experience with instructional design, in order to create effective and clear training materials
• Demonstrated experience with statistical analysis common data science libraries/ packages, including numpy, pandas, matplotlib (Python); tidyverse (R); and integrated text-code document formats such as Jupyter notebooks, Rmarkdown, and Quarto
• Experience troubleshooting technical issues related to educational development
• Experience with git and GitHub workflows, including in maintaining and contributing to open-source libraries.
• Python and R programming languages
• Unix terminal, systems monitoring and troubleshooting, and application deployment using virtual machines, containers, and cloud-based deployments
• Strong knowledge in Institutional Learning Management System (E.g.,Quercus/Canvas) or similar platforms, including knowledge of common issues and how to be addressed
• Ability to learn continually ’on-the-job’, on own initiative, often without instructors, courses, texts, or other formal educational resources, to keep abreast of often rapid changes in requirements, software and technology
• Ability to communicate effectively and accurately, both orally and in writing, to a diverse group of clients, including the ability to communicate technical concepts to persons with limited technical backgrounds
• Excellent time management, prioritization and organizational skills, including the ability to prioritize effectively when working with multiple tasks and projects

LIVED EXPERIENCE STATEMENT

Candidates who are members of Indigenous, Black, racialized and 2SLGBTQ+ communities, persons with disabilities, and other equity deserving groups are encouraged to apply, and their lived experience shall be taken into consideration as applicable to the posted position

YOUR RESPONSIBILITIES WILL INCLUDE:

• Probing for information from end-users to identify problems and establish needs
• Troubleshooting issues uncovered by testing or user feedback
• Conducting needs assessments to determine end-user technical requirements
• Designing, testing, and modifying programming code
• Keeping well-informed on current technologies, best practices and industry standards
• Conducting detailed analysis and evaluation to inform program planning activities
• Drafting and editing training content

TO BE SUCCESSFUL IN THIS ROLE YOU WILL BE:

• Insightful
• Organized
• Proactive
• Problem solver
• Team player