Sessional Lecturer -BTC1895H: Python Coding

Date Posted: March 25th, 2026

Closing Date: April 9th, 2026 - 11:59 PM EST

Req ID: 47471

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:

 

This introductory course to basic python coding assumes students already know the basics of coding based on their prior training in the R coding language. Some concepts will be built upon already learned in R, such as data structures, in Python. The focus will be on data science basics. The course will also introduce more advanced concepts such as tools for supervised/ unsupervised learning that will be helpful for deep learning focused courses. 

 

Estimated course enrolment: 35

Estimated TA support: 1

 

Class schedule: Tuesdays and Thursdays (6:00pm-9:00pm)

 

(Please see ttb.utoronto.ca)

[NOTE: The mode of instruction for this course is expected to be in-person. However, if this changes for any reason, you will be provided with as much advance notice as practicable.]

 

Sessional dates of appointment: May 19, 2026 to August 31, 2026

 

Salary:

Sessional Lecturer I - $17,930.13 inclusive of vacation pay (0.5 FCE)

Sessional Lecturer I Long Term - $18,274.94 inclusive of vacation pay (0.5 FCE)

Sessional Lecturer II - $18,274.94 inclusive of vacation pay (0.5 FCE)

Sessional Lecturer II Long Term - $18,274.94 inclusive of vacation pay (0.5 FCE)

 

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:

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 regarding product purchases and shopping behaviour.

 

Preferred qualifications:

Demonstrated excellence in teaching this course, or a similar course at the university level, is preferred.

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.

Description of duties:

All normal duties related to the design and teaching of a University credit course, including preparation and delivery of course content; out-of-class interactions with students via e-mail and office hours; development, administration and marking of assignments, tests and exams; calculation and submission of grades; order all necessary readings.

 

Application instructions:

Please visit:  ?url=www.utm.utoronto.ca%2Fmbiotech%2Fabout%2Fcurrent-opportu.%26h&module=jobs&id=61626" target="_blank" rel="nofollow">?url=www.utm.utoronto.ca%2Fmbiotech%2Fabout%2Fcurrent-opportu.%26h&module=jobs&id=61626" target="_blank" rel="nofollow">www.utm.utoronto.ca/­mbiotech/about/­current-opportu.&h p o i n t;. for detailed information on how to apply.

 

Please do not apply on this website; only applications who are emailed to Ortensia Qendro at ortensia.qendroutoronto.ca will be considered

Incomplete applications will not be considered.

Please note that an interview may be part of the hiring process.

This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement.

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.

 

The deadline to apply is April 9, 2026.

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 ?url=http%3A%2F%2Fuoft.me%2FUP&module=jobs&id=61626" target="_blank" rel="nofollow">?url=http%3A%2F%2Fuoft.me%2FUP&module=jobs&id=61626" target="_blank" rel="nofollow">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 uoft.careersutoronto.ca .

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