Job Description

Date Posted: October 12th

, 2025

Closing Date: November

12th, 2025 - 11:59 PM EST

Req ID:

45529

Faculty/Division:

School of Graduate Studies

Department:

Master of Biotechnology Program

Campus:

UTM - University of Toronto Mississauga

Course Number and Title

: BTC1895H: Python Coding

Course Description

:


Topics in digital health marketing are explored in this course from a coding perspective. The coding language for this course will focus on learning the basics of Python and how it is applied to digital health marketing. The possible range of digital health marketing topics, to be determined by the instructor, would include such examples as search engine optimization, targeted advertising, email marketing, data privacy, social media engagement, digital patient recruitment for clinical trials, chatbot for digital health services, predicting patient retention, social media sentiment analysis and web scraping. Students will work on a significant project in digital health marketing that will draw upon their coding skills.

Estimated course enrolment

: 24

Estimated TA support

: 40-50

Class Schedule:

Specific dates to be determined in consultation with the MBiotech Program Office (NOTE: All courses at UofT Mississauga are expected to be delivered in person in Winter 2026)

Sessional Dates of Appointment

January 8th- April 8th, 2026

Salary:

$17,267.74 (includes 4% vacation pay)

Minimum Qualifications:

A PhD in computer science is required. Experiencing teaching Python is essential. Teaching experience includes teaching assistant or sessional lecturer at an accredited university. Private sector experience where the position has been a data scientist. Experience with therapeutic data is needed in a private sector setting. Experience using statistics to make inferences about online behaviour with regard to product purchases and shopping behaviour.


Preferred Qualifications: Same as minimum qualifications.

Description of Duties:

All regular duties related to the design, teaching and delivery of a University credit course, including, but not limited to, Meeting with each student team to guide/advise them on their presentations. They are holding office hours as required. Marking/evaluating student presentations and written examinations; recording student attendance; recording and submitting grades; and communicating with students on course-related matters for the Winter term.

Application Procedure:

Download and fill out the General Application Form from the IMI Employment website. Submit the completed application form and your CV to ortensia.qendro@utoronto.ca, MBiotech, UTM. Include: 'BTC1895H SL Application' in the subject line.

Closing Date: November 12th, 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.