Sessional Instructional Assistant: SOC350H5S - Quantitative Analysis

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

Job summary

A prominent educational institution in Toronto is looking for a Sessional Instructional Assistant for the SOC350H5S Quantitative Analysis course. The role spans from January 1 to April 30, 2026, requiring 100 hours of commitment. Candidates should possess an MA in Sociology or a related field, have experience in teaching statistical methods, and be proficient in R statistical software. The pay rate is $55.25/hr plus vacation pay.

Qualifications

• Candidates must have at least an MA in Sociology or related field.
• Must have a record of excellence demonstrated by referred published research.
• Prior teaching assistantship experience is required.

Responsibilities

• Lead weekly practical sessions using R statistical software.
• Grade student work including assignments and exams.
• Assist with other duties as needed in consultation with the course instructor.

Skills

Knowledge of regression methods

R statistical software proficiency

Strong academic record

Education

MA in Sociology or related field

Job description

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Sessional Instructional Assistant: SOC350H5S - Quantitative Analysis

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.

Number of positions: 1

Estimated hours per position: 100 hours

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.

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 inlcuding assigments, 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 qualifiactions 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/[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.

Diversity Statement

The University of Toronto embraces Diversity and is building a culture of belonging that increases our capacity to effectively address and serve the interests of our global community. We strongly encourage applications from Indigenous Peoples, Black and racialized persons, women, persons with disabilities, and people of diverse sexual and gender identities. We value applicants who have demonstrated a commitment to equity, diversity and inclusion and recognize that diverse perspectives, experiences, and expertise are essential to strengthening our academic mission.

As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see http://uoft.me/UP.

Accessibility Statement

The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission.

The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities.

If you require any accommodations at any point during the application and hiring process, please contact [e-mail].