Sessional Instructional Assistant, INF1344H - Introduction To Statistics For Data Science

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

Job summary

An established educational institution is seeking a Sessional Instructional Assistant for an engaging summer course on statistics for data science. This role emphasizes hands-on learning and critical thinking, providing students with essential skills in quantitative methods and ethical decision-making. The position involves assisting with course administration, grading, and offering support during lab sessions. Ideal candidates will have a strong academic background in statistics or related fields, along with programming experience in R or Python. This is a fantastic opportunity to contribute to the academic growth of students while enhancing your teaching skills in a collaborative environment.

Qualifications

• Candidates should have a PhD or Master's with experience in statistics.
• Experience with programming and statistical software is essential.

Responsibilities

• Assist with course administration, labs, grading, and office hours.
• Conduct class attendance and provide support during assignments.

Skills

R

Python

Teaching Experience

Education

PhD in a related area

Master's degree with extensive professional experience

Job description

University of Toronto

Faculty of Information

Emergency Job Posting – Sessional Instructional Assistant

Summer Term 2025 (May - June 2025)

INF1344H - Introduction to Statistics for Data Science

Course Description:
This course will provide students an introduction to statistics and statistical methods. It is intended and designed for students who have little or no familiarity with statistics in the Master of Information program so that their knowledge base is built on a solid foundation, which will prepare them for advanced data science courses in the program. This course emphasizes the application of statistical concepts and methods. This course will help students develop the ability to use quantitative methods to describe real world situations and to make ethical inferences and decisions based on the statistical results. Students will strengthen critical thinking skills to assess the value and limitations of measures and statistical estimates. This course will help students learn to construct reports that include meaningful charts, tables, and graphs for various audiences and that provide text that is appropriate for different audiences. The course will have lab sessions throughout the semester. The purpose of the lab session is to provide students with hands-on experience with data handling and regression analysis.

This course can be used to fulfil the “Technical” Professional Requirement.

ischool.utoronto.ca/course/introduction-to-statistics-for-data-science/

Estimate of the course enrolment:
50

Number of Positions:
1

Size of appointment:
37.5 hours (dependent on course enrolment)

Class Schedule:
LEC Tuesdays and Thursdays 6:00PM - 9:00PM
(all in person). You are required to be located in geographical proximity to the applicable University premises in order to attend and perform your duties on University premises as of the Starting Date.
Sessional dates of appointment:
May 12, 2025 – June 30, 2025

Rate of Pay:
Sessional Instructional Assistant - $52.26/hour plus 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.

Qualifications:
Preferably candidates will have a completed, or nearly completed, PhD degree in an area related to the course or a Master’s degree plus extensive professional experience in an area related to the course. The candidate should have background and experience in working with programming and statistical software R/Python. Teaching experience is preferred.

Brief description of duties:
Assistance with course administration (labs, grading assignments, tests, exams), and other duties as assigned. Duties may include class attendance and 1 hour office hour after each major assignment given in class, typically 3 assignments x 1 hour each.

Duties of this position shall be performed at the campus on which the position is located.

Application Deadline:
May 9, 2025

Application Process:
Applicants must submit a CV and a completed

CUPE 3902 Unit 3 application form
in one pdf file to the attention of
:

Devangi Vaghela, Payroll Administrator

Faculty of Information, 140 St. George Street

University of # job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement. Preference in hiring is given to qualified individuals advanced to the rank of Sessional Lecturer II and Sessional Lecturer III in accordance with Article 14:12.

All qualified candidates are encouraged ; however, Canadians and permanent residents will be given priority.