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Statistics

Remote / Online - Candidates ideally in
Guelph, Ontario, Canada
Listing for: University of Guelph
Remote/Work from Home position
Listed on 2026-10-26
Job specializations:
  • Education / Teaching
    Teacher Assistant/ Paraprofessional, Tutoring
Salary/Wage Range or Industry Benchmark: 34000 - 44000 CAD Yearly CAD 34000.00 44000.00 YEAR
Job Description & How to Apply Below
Position: Statistics I

for Teaching Assistants, Graduates Service Assistants & Sessional Lecturers

TA400415
- Winter 2027-STAT
* 2040*DE Statistics I

Teaching Assistant Work Assignment

Type of Work Assignment and Bargaining Unit:

GTA, Unit 1

Academic Unit:

Mathematics and Statistics

Semester(s) of Assignment(s):

Winter 2027

This Work Assignment(s) may be assigned to fulfill the terms and conditions of a guaranteed Job Security Period:

Some

Course Number:

STAT
* 2040*DE

Course Name:

Statistics I

Course Format:

Course

Description:

See Course Calendar

Other Course Description or Assignment Information:

When applying for this work assignment, the candidate will be required to work remotely during regular University instructional hours (8:30 AM to 10:00 PM EST) as required. Some of the duties of this job may include conversing with students via chat or other interactive online software, for which the candidate must have access to a computer and a reliable internet connection.

300

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:

Yes

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

Preparation

Student Consultation

Meetings

Invigilating Exams

Grading

Other Duties (specify below)

Other Duties Described:

Qualifications

Required Qualifications:

Enrollment in a graduate program in Mathematics and Statistics or closely related program. A thorough understanding of introductory statistics is required.

Preferred Qualifications:

Excellent communications skills plus familiarity with Course Link would be an asset along with knowledge of R statistics software.

Days Required and Wages

Days and Times

Required:

Period of the Work Assignment (Start Date and End Date):

January 7, 2027 to May 7, 2027

Wage Rate (per hour, per semester, per Full-load 1.0 Work Assignment):

Other Posting Information

Final date to receive applications (All postings will automatically expire at 11:59 pm on this day):

Monday, November 2, 2026

Posting Email Contact:

Hiring Contact Information:

Tricia Townsend, Graduate Program Specialist, Department of Mathematics and Statistics,

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: ).

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

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