Educational Technology Developer, Computation and Data Science Education (Term)

University of Toronto; Toronto; Hybrid; CAD 81,000 - 104,000; Full time

Job summary

A leading Canadian university in Toronto is seeking an Educational Technology Developer to enhance educational technology supporting computation and data science. The role demands a strong educational background in Computer Science coupled with technical support experience. Successful candidates will have expertise in Python, R, and Learning Management Systems. This position offers a hybrid work arrangement and a competitive salary.

Qualifications

• Minimum four years of related experience in educational development.
• Experience in application support with LMS and CMS.
• Strong knowledge in Institutional Learning Management Systems.

Responsibilities

• Probing for information from end-users to identify problems.
• Troubleshooting issues uncovered by testing or user feedback.
• Conducting needs assessments to determine end-user technical requirements.

Skills

Problem-solving

Communication

Organizational skills

Python

R

Education

Bachelor's Degree in Computer Science or Data Science

Tools

GitHub

Learning Management Systems

Unix terminal

Job description

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

Description:

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.


Your opportunity:

Residing in the Office of the Dean, Teaching & Learning team, the EducationalTechnology Developer, CDSE, will work closely with academic units, faculty members and course instructors to develop and integrate educational technology related to computation and data science . The incumbent will provide specialized educational technology support, development and training for CDS education in collaboration with academic units and institutional teams.

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

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

Assets (Nonessential):

• Experience with teaching and training at the post-secondary level
• Strong proficiency supporting the use of generative AI (e.g., ChatGPT, Microsoft Copilot) in a teaching and learning context a strong asset.

To be successful in this role you will be:

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

Note: This is a 2-year term position, with an end date of September 2027

This role is currently eligible for a hybrid work arrangement, pursuant to University policies and guidelines, including but not limited to theUniversity of Toronto’s Alternative Work Arrangements Guideline.

Closing Date: 09/05/2025, 11:59PM ET
Employee Group: USW
Appointment Type: Budget - Term
Schedule: Full-Time
Pay Scale Group & Hiring Zone:
USW Pay Band 12 -- $81,312. with an annual step progression to a maximum of $103,986. Pay scale and job class assignment is subject to determination pursuant to the Job Evaluation/Pay Equity Maintenance Protocol.
Job Category: Research Administration & Teaching
Recruiter: Carolyn Wright

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.