Sessional Instructional Assistant: SOC350H5S - Quantitative Analysis

University of Toronto; Mississauga; On-site; CAD 30,000 - 60,000; Part time

Job summary

A major Canadian university in Mississauga is seeking a Sessional Lecturer for the Quantitative Analysis course. The role involves leading practical sessions, grading student work, and supporting student analyses primarily using R statistical software. Candidates need at least an MA in Sociology, knowledge of regression methods, and prior teaching experience. This position is set for a session lasting from January 1 to April 30, 2026, with a pay rate of $55.25 per hour plus vacation pay.

Qualifications

• Must have at least an MA in Sociology or related field.
• Strong academic record and prior teaching assistantship experience.
• Good knowledge of regression methods and experience using R statistical software.

Responsibilities

• Lead weekly practical sessions using R statistical software.
• Grade student work including assignments, exams, and papers.
• Consult with the course instructor for other duties.

Skills

Knowledge of regression methods

Data management and analysis using R

Teaching experience in statistical methods

Education

MA in Sociology or related field

Job description

Course # and title: SOC350H5S: Quantitative Analysis

Course description: This course examines multivariate regression methods using both linear and logit models. Topics include control variables, model predictions, model assumptions and diagnostics, mediation, moderation, inference, and model fit.

Estimated course enrolment: 40

Number of positions: 1

Estimated hours per position: 100 hours

Practicals/Tutorials schedule: Tuesdays 5 - 6pm

Sessional dates of appointment: January 1 - April 30, 2026

Rate of pay: $55.25/hr + 4% vacation pay

Please note that should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail.

Minimum qualification:

Candidates must have at least an MA in Sociology or related field. Must have record of excellence in the subjects covered in the course, demonstrated by referred published research, strong academic record and prior teaching assistantship experience. Must have a good knowledge of regression methods, and the ability to perform basic data management and analysis using R statistical software.

Preferred qualification: Preference will be given to applicants with prior experience teaching statistical methods or as a teaching assistant in course on statistical methods.

Description of duties:

• Lead weekly practical sessions to answer student questions and help them conduct analyses using R statistical software
• Grade student work including assignments, final exams, papers, etc.
• Other duties as needed in consultation with the course instructor.

Application instructions:

Application which includes a cover letter briefly outlining your qualifications for the position (e.g. prior experience, courses completed, etc.), CV and any relevant information (supporting documentation, etc.) must be submitted to the Chair c/o [e-mail]. Only complete applications received on or by the deadline will be considered.

Posting End Date: December 21, 2025

Closing Date: December 21, 2025, 11:59PM EDT

This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement.

It is understood that some announcements of vacancies are tentative, pending final course determinations and enrolment. Should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail.

Preference in hiring is given to qualified individuals advanced to the rank of Sessional Lecturer II or Sessional Lecturer III in accordance with Article 14:12 of the CUPE 3902 Unit 3 collective agreement.

Please note: Undergraduate or graduate students and postdoctoral fellows of the University of Toronto are covered by the CUPE 3902 Unit 1 collective agreement rather than the Unit 3 collective agreement, and should not apply for positions posted under the Unit 3 collective agreement.