Teaching Assistant - EXMD 634-1

Reposted 2 Days Ago
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Glen, Limerick, IRL
In-Office
37-37 Hourly
Internship
3D Printing • Nanotechnology • Industrial • Manufacturing
The Role
Assist the instructor in preparing and grading assignments for a course in Quantitative Research Methods, responding to student queries.
Summary Generated by Built In

Please refer to the How to Apply for a Job (for External Candidates) job aid for instructions on how to apply.

If you are an active McGill employee (ie: currently in an active contract or position at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar).

Hiring Unit:

Department of Medicine, Division of Experimental Medicine

Course Title:

Quantitative Research Methods

Course Code:

EXMD 634

Estimated Number of Positions:

1

Total Hours of Work per Term:

120

Hiring Unit: Department of Medicine, Division of Experimental Medicine
Position Summary:
Aid the instructor in preparing assignments and quizzes, solutions for 4 assignments and correct these assignments for 75 students. Respond to student queries related to these assignments.
Qualifications:

  • Only Current Masters or Doctoral student registered at McGill are eligible to apply as Teaching Assistant.

  • with knowledge and experience in Biostatistics or Statistics preferable.

  • Must be eligible to work in Canada.

NOTE: All candidates will have to fill out the questionnaire and upload relevant documents (Study permit (if applicable)/Proof of enrollment for Fall 2025 term).

Who are External and Internal Candidates?

External Candidates:

Current McGill Graduate Student that has held previous jobs/contracts at the university and currently does not have an active job in Workday > applies as an External Candidate 

Note: Review the information found here before you apply as external https://www.mcgill.ca/hr/files/hr/workday_guide_for_applying_to_ta_positions.pdf

Internal Candidates:

Current McGill Graduate Student with an active job(s)/contract(s) in Workday > applies as an Internal Candidate

Before you proceed as an internal candidate, you must log into the VPN before logging into Workday to access the functionality described below. Also, keep in mind that Two-Factor Authentication (2FA) is mandatory for VPN use. Further information regarding 2FA can be found at the following site:   https://www.mcgill.ca/2fa/

Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the province of Quebec at the campus where the position is based / located.
McGill University is an English-language university where most teaching and research activities are conducted in the English language, thereby requiring English communication both verbally and in writing.

Hourly Salary:

$37.34

Position Start Date:

2026-08-31

Position End Date:

2026-12-22

Deadline to Apply:

2026-06-29

McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. We welcome applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence, [email protected].

Skills Required

  • Current Masters or Doctoral student registered at McGill
  • Knowledge and experience in Biostatistics or Statistics
  • Eligible to work in Canada
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The Company
0 Employees
Year Founded: 1821

What We Do

McGill University is a public research university with extensive research activities across various engineering disciplines, including civil and materials engineering, focusing on areas like construction materials and advanced manufacturing.

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