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Lecturer In Statistics Jobs in Ontario (NOW HIRING)

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Lecturer In Statistics information

What are the key skills and qualifications needed to thrive as a lecturer in statistics, and why are they important?

To thrive as a Lecturer in Statistics, you need an advanced degree in statistics or a related field, strong analytical skills, and a solid grounding in statistical theory and methods. Familiarity with statistical software such as R, SAS, or SPSS, as well as experience with learning management systems, is typically required. Excellent communication, presentation, and mentoring skills help engage students and facilitate effective learning. These competencies are crucial for delivering high-quality education, supporting student success, and advancing research within the academic environment.

What are some typical challenges faced by a lecturer in statistics when balancing teaching and research responsibilities?

Lecturers in Statistics often juggle the demands of preparing and delivering high-quality lectures with maintaining an active research profile. Managing large class sizes, keeping course content up-to-date with evolving statistical methods, and providing individualized student support can be time-consuming. At the same time, there may be expectations to publish research and contribute to departmental projects, requiring strong time management and prioritization skills. Collaborating with colleagues, seeking research partnerships, and utilizing university support services are common strategies to successfully balance these responsibilities.

What is the difference between Lecturer In Statistics vs Teaching Assistant In Statistics?

AspectLecturer In StatisticsTeaching Assistant In Statistics
Required CredentialsMaster's or PhD in Statistics or related fieldEnrolled in or recent graduate of relevant program
Work EnvironmentUniversity classrooms, lecture halls, research settingsAssisting in courses, grading, tutoring
Employer & Industry UsageHigher education institutions, universitiesUniversities, colleges, academic departments
Common Search & Comparison IntentUnderstanding academic roles, career pathAssisting in courses, entry-level academic support

In summary, a Lecturer In Statistics typically holds advanced degrees and delivers lectures at universities, focusing on teaching and research. A Teaching Assistant In Statistics usually supports faculty by grading, tutoring, and assisting in classes, often being a graduate student. Both roles are integral to academic institutions but differ in responsibilities and qualifications.

What does a lecturer in statistics do?

A Lecturer in Statistics is an academic professional who teaches undergraduate and/or postgraduate courses in statistics at a college or university. Their responsibilities include preparing and delivering lectures, developing course materials, assessing student performance, and providing academic guidance. Additionally, they may conduct research in statistical theory or applied statistics and contribute to departmental administration. Lecturers often stay updated with advances in the field and may participate in academic conferences or publish scholarly papers.

What are popular job titles related to Lecturer In Statistics jobs in Ontario?

For Lecturer In Statistics jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Lecturer In Statistics jobs in Ontario look for?

The top searched job categories for Lecturer In Statistics jobs in Ontario are:

Lecturer In Statistics jobs near you
Infographic showing various Lecturer In Statistics job openings in Ontario as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution.

Sessional Lecturer - STA258H5S LEC103 Statistics with Applied Probability

University of Toronto

Mississauga, ON

CA$15K/mo

Full-time

PTO

Posted 4 days ago

Job description

Date Posted: 08/11/2026
Req ID: 49808
Faculty/Division: UofT Mississauga
Department: UTM: Math/Comp. Sciences
Campus: University of Toronto Mississauga (UTM)
Existing Vacancy: Yes

Description:

Course Number and Title:  STA258H5S LEC103 Statistics with Applied Probability

Course Description: A survey of statistical methodology with emphasis on the relationship between data analysis and probability theory. Topics covered include descriptive statistics, limit theorems, sampling distribution, point and interval estimation, hypothesis testing, contingency tables and count data, simple linear regression. A statistical computer package will be used.

Course Enrolment (Estimated): 105

Number of Positions:              1

TA Support: 50 hrs per 35 students enrolled per semester

Sessional Dates of Appointment:  January 1, 2027 - April 30, 2027

Salary: Rate of pay for Sessional Lecturer I is $15,000 for a half course (inclusive of vacation pay).

Class Schedule: in person - Tue 17:00 - 19:00, Thur 16:00 - 17:00

Minimum Qualifications: Ph.D. in Statistics, completed or nearly complete. Exceptional candidates with a Masters in Statistics will be considered. Advanced comprehension of the subject matter as evidenced by research activity and/or advanced teaching experience. Strong organizational, interpersonal, and communication skills.

Preferred Qualifications: Demonstrated evidence of excellence in teaching preferred.  Preference will be given to candidates with demonstrable currency and mastery.

Description of Duties: Responsible for all aspects of delivering a university credit course including:  planning the lectures, tutorials, assignments and tests and marking schemes; providing appropriate contact time outside of class to students, through office hours, emails, etc.; invigilating the final exam; managing the grades and submitting the final course grades; dealing with student petitions, setting and grading a make-up exam if required.

How to apply: If interested, please reply to: jobsmcs.utm@utoronto.ca with the following information: 1) CUPE 3902 (Unit 3) Employment Application Form: https://uoft.me/CUPE- 3902-Unit-3-Application-Form; 2) your current CV.

Candidates who are members of Indigenous, Black, racialized and 2SLGBTQ+ communities, persons with disabilities, and other equity-deserving groups are encouraged to apply, and their lived experience shall be taken into consideration as applicable to the position

Closing Date: 09/01/2026, 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.

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