Sessional Lecturer- BTC1730H - Modern Data Analysis in Structural Biology and Drug Discovery

Sessional Lecturer- BTC1730H - Modern Data Analysis in Structural Biology and Drug Discovery

Date Posted: March 25th, 2026

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

Req ID: 47469

Faculty/Division:  School of Graduate Studies

Department: Master of Biotechnology Program

Campus: UTM - University of Toronto Mississauga

Course number and title:
BTC1730H - Modern Data Analysis in Structural Biology and Drug Discovery 

 

Course description:

 

This engaging and comprehensive course explores the fascinating structural biology and drug discovery fields. Specifically designed for students eager to delve into advanced concepts, it addresses essential topics such as integrating AI in structural biology, data analysis techniques for drug discovery, and practical applications of AI in the pharmaceutical industry. 

Students will gain practical experience with programming tools, AI applications, and insights into molecular dynamics and simulations. The curriculum focuses on emerging trends and future directions in these rapidly evolving fields. Students will develop a strong understanding of AI’s transformative role in structural biology and drug discovery through lectures and practical exercises. (further course details can be emailed by request)

 

Estimated course enrolment: 45

Estimated TA support: 1

 

Class schedule: Specific dates to be determined in consultation with the MBiotech Program Office

(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 1st, 2026, to August 31st, 2026

 

Salary:

Sessional Lecturer I - $18,768 inclusive of vacation pay (0.5 FCE)

Sessional Lecturer I Long Term - $19,129 inclusive of vacation pay (0.5 FCE)

Sessional Lecturer II - $$19,129 inclusive of vacation pay (0.5 FCE)

Sessional Lecturer II Long Term - $19,129 inclusive of vacation pay (0.5 FCE)

Sessional Lecturer III - $19,129 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 and teaching experience is preferred, ideally in bioinformatics, with familiarity with biostatistics tools, protein folding, and AI tools in biology and structural biology and an understanding of how future AI tools might unfold in biotechnology and drug discovery.

 

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=61629" target="_blank" rel="nofollow">?url=www.utm.utoronto.ca%2Fmbiotech%2Fabout%2Fcurrent-opportu.%26h&module=jobs&id=61629" 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=61629" target="_blank" rel="nofollow">?url=http%3A%2F%2Fuoft.me%2FUP&module=jobs&id=61629" 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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