Sessional Lecturer -BTC1895H:Python Coding

University of Toronto; Toronto; On-site; CAD 80,000 - 100,000; Part time

Job summary

A leading North American university in Toronto seeks a qualified individual for a Sessional Lecturer position to teach 'BTC1895H: Python Coding'. Responsibilities include course design, student meetings, and evaluations. A PhD in computer science and teaching Python experience are mandatory. Join an inclusive academic community dedicated to diversity and equity.

Qualifications

• Experience teaching Python is essential.
• Experience as a teaching assistant or sessional lecturer at an accredited university.
• Private sector experience as a data scientist is required.

Responsibilities

• Design, teach, and deliver a University credit course.
• Meet with student teams to guide presentations.
• Evaluate student presentations and written exams.

Skills

Teaching Python

Data analysis using statistics

Experience with therapeutic data

Education

PhD in computer science

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.

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

January 8th - April 8th 2026

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.

• Submit the completed application form and your CV to [e-mail], MBiotech, UTM. Include: ‘BTC1895H SLApplication’ in the subject line.

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] .