TA384477- Fall 2026-BIOM*3210 Critical Thinking in Health Sciences

Teaching Assistant Work Assignment
Posting Details
Type of Work Assignment and Bargaining Unit: 
GTA, Unit 1
Academic Unit: 
Biomedical Sciences
Semester(s) of Assignment(s): 
Fall 2026
This Work Assignment(s) may be assigned to fulfill the terms and conditions of a guaranteed Job Security Period: 
Some
Course Details
Course Number: 
BIOM*3210
Course Name: 
Critical Thinking in Health Sciences
Course Format: 
In-Person
Course Description: 
See Course Calendar
Projected Class Enrolment: 
135
Level of Appointment for GTA, GSA-1 UTA(s)
The following is an estimate of number and levels of available appointments at the time of posting. This may change (increase or decrease) at the time of assignment contingent on departmental needs.
This Posting includes Multiple Work Assignments: 
No
Number of Available 0.25 (35 hour) Work Assignments: 
0
Number of Available 0.5 (70 hour) Work Assignments: 
2
Number of Available 0.75 (105 hour) Work Assignments: 
0
Number of Available Full 1.0 (140 hour) Work Assignments: 
0
Total Number (Load) of Assignment(s) Available: 
2
Duties and Responsibilities
Anticipated Duties and Responsibilities: 
Orientation-Training
Office Hours
Student Consultation
Email Correspondence/Monitoring
Invigilating Exams
Grading
Other Duties (specify below)
Other Duties Described: 
As per course coordinator
Qualifications
Required Qualifications: 
1. Completion of one of the following: STAT*2040, BIOM*3210, BIOM*4300, BIOM*6400 or comparable coursework in biomedical sciences or related fields. If you have taken similar courses, please specify course content and outcomes. 2. Currently enrolled as a graduate student (or entering graduate study by the start of the position).
Preferred Qualifications: 
Completion of coursework or demonstrated experience in one or more of the following: 1. Critical appraisal of scientific literature 2. Research methodology and study design 3. Evidence-based medicine 4. Scientific or academic integrity and ethics 5. Logical reasoning in biomedical/health sciences Relevant experience may include formal courses (in any program), workshops, independent study, or substantial research experience engaging with these skills. We value diverse experiences and backgrounds. If you have equivalent qualifications or relevant experience not listed here, we encourage you to apply and explain how your background prepares you for this role.
Days Required and Wages
Days and Times Required: 
Various
Period of the Work Assignment (Start Date and End Date): 
September 8, 2026 to December 24, 2026
Wage Rate (per hour, per semester, per Full-load 1.0 Work Assignment): 
GTA $49.43/hr; $6,924.98/semester effective 2025/26
Other Posting Information
Application Deadline (All postings will automatically expire at 11:59 pm on this day): 
Tuesday, July 28, 2026
Posting Email Contact: 
ovcsas.tasessional@uoguelph.ca
Hiring Contact Information: 
Holly Illman Operations Manager, Biomedical Sciences illmanh@uoguelph.ca, x54911

At the University of Guelph, fostering a culture of inclusion is an institutional imperative. The University invites and encourages applications from all qualified individuals, including from groups that are traditionally underrepresented in employment, who may contribute to further diversification of our Institution. For more information, the Office of Diversity and Human Rights (DHR) is a welcoming, safe and confidential one-stop shop for information, training and support on issues relating to diversity and human rights on our campus.

All applicants must be eligible to work in Canada specifically at the University of Guelph before applying for an academic work assignment. All successful applicants must perform their work in Ontario and must be able to attend on-campus in-person meetings as required.

Teaching Assistant work assignments are unionized with CUPE 3913 and their terms and conditions of work are covered by the Unit 1 Collective Agreement between the University and CUPE 3913 (email contact: president@cupe3913.on.ca).

The use of AI to perform job responsibilities must be directed by or approved beforehand in writing by the supervisor or course instructor.