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Sessional Lecturer - BCH 2202 Introduction to Programming in R

Course Code & Title: BCH2202 Introduction to Programming in R

 

COURSE DESCRIPTION:

This course is to introduce graduate students to the programing language Python. The course will teach the students how to install Python on their laptop and then use Python to perform statistical analyses of data. The course consists of twelve hands-on sessions, each lasting one hour, where students login online (or if permitting be in person) with their computer for class assignments and lectures, each of these assignments.  

 

Estimated Course Enrollment: 15

 

TA Support: No

 

Size of Appointment: 24 hours

 

Class Schedule:  Wnter session. Twelve sessions (each one hour long) over twelve weeks. Day and times are flexible.

 

Sessional Date of Appointment:  January - April 2026

 

Salary: Based on Appointment size at the minimum stipend rate of $9,820.70 (inclusive of vacation pay) for a half course

*Please note that should rates stipulated in the collective agreement vary from the rates stated in this posting, the rates stated in the collective agreement shall prevail.

 

Minimum Qualifications:  Candidates should possess a doctorate degree in relevant discipline or in a closely related field and demonstrate expertise and mastery of the subject area. The applicant must be familiar with the types of data management that are commonly seen by students in the Biochemistry Department.

 

Prefered Qualifications: Applicant must have convocated with a Ph.D to be given consideration for this position.

 

Dscription of Duties: Design and implementing twelve practical lectures on using R. Every second lecture will have an accompanying assignment component. Correcting and grading assignments and tests.

 

APPLICATION  PROCEDURE:  All applications must be received by November 17, 2025.  Please include a cover letter and current CV with your application.

Submit electronic applications to:   Dr. Trevor Moraes Graduate Chair,(trevor.moraes@utoronto.ca)

Department of Biochemistry, Rm. 1613, MaRS Centre, West Tower, 661 University Ave., Toronto, ON.  M5G 1M1.

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 uoft.careers@utoronto.ca.


Job Segment: Biochemistry, Data Management, Information Technology, Programmer, Science, Data, Technology

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