Sessional Lecturer: CHL5223H Applied Bayesian Methods

Date Posted: 09/28/2026 Req ID: 50349 Faculty/Division: Dalla Lana School of Public Health Department: Dalla Lana School of Public Health Campus: St. George (Downtown Toronto) Existing Vacancy: Yes Course Description & Learning Objectives: Bayesian methods are important tools for applied statisticians, biostatisticians, and data scientists.

They provide a flexible framework for quantifying uncertainty and learning from new data. The course introduces the basics of Bayesian inference and Markov chain Monte Carlo methods, then shows students how to compute and make inferences for complex data problems. The learning objectives are to gain (i) an understanding of basic Bayesian inference, (ii) an understanding of the basic theory of Markov chain Monte Carlo methods, and (iii) proficiency in performing Bayesian data analysis on complex data problems.

Estimated course enrolment : 45 Estimated TA support : 70 hours Class Schedule : Mondays, 2:00 p.m. to 5:00 p.m. (in person) Sessional dates : January 6 to April 9, 2027 Salary : $9,997.48 (Sessional Lecturer I) $10,699.22 (Sessional Lecturer I Long Term) $10,699.22 (Sessional Lecturer II) $10,953.96 (Sessional Lecturer II Long Term) $10,953.

96 (Sessional Lecturer III) $11,228.90 (Sessional Lecturer III Long Term) (Salary inclusive of 4% or 6% vacation pay, where applicable) 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 Qualifications

PhD in Biostatistics, Statistics, or a related field. Advanced comprehension of Bayesian methods, as evidenced by research activity and/or advanced teaching experience. Preference will be given to candidates with demonstrated experience of excellence in teaching a similar course. Description of duties : Prepare course content and syllabus, prepare and give weekly 3-hour lectures; hold scheduled office hours for at least an hour per week; respond to student questions regarding the course and course materials; provide regular feedback to students; prepare, grade and invigilate course assessments; manage and submit the final course grades.

Application Process: All individuals interested in this position must submit, via email, a Curriculum Vitae, and the CUPE 3902 Unit 3 application form (PDF or RTF, also available at https://uoft.me/CUPE-3902-Unit-3-Application-Form ), to: c/o Christine Lowe Dalla Lana School of Public Health University of Toronto Email: christine.

lowe@utoronto.ca Closing Date: 10/13/2026, 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.