Toronto, ON · On-site
CA$3.3K/wk
This course also introduces the bioinformatics concepts and methods used in biological data analysis. Estimated course enrollment: ~ 30 students Estimated TA support: 1 TA (70 hours) Class schedule:
Toronto, ON · On-site
CA$3.3K/wk
This course also introduces the bioinformatics concepts and methods used in biological data analysis. Estimated course enrollment: ~ 30 students Estimated TA support: 1 TA (70 hours) Class schedule:
CA$37.34 - CA$43.18/hr
Teaching and learning are student-centred with an emphasis on technological innovation, diversity ... Bioinformatics, and Biomedical Sciences. Portfolios are subject to change with evolving program ...
New
CA$37.34 - CA$43.18/hr
Teaching and learning are student-centred with an emphasis on technological innovation, diversity ... Bioinformatics, and Biomedical Sciences. Portfolios are subject to change with evolving program ...
New
Hamilton, ON · On-site
$110 - $150/hr
Educational activities will include teaching and supervision of undergraduate students in multiple ... bioinformatics with an in-depth knowledge of placental biology. All qualified applicants are ...
Hamilton, ON · On-site
$110 - $150/hr
Educational activities will include teaching and supervision of undergraduate students in multiple ... bioinformatics with an in-depth knowledge of placental biology. All qualified applicants are ...
$7.69 - $14.66
13% of jobs
$18.31 is the 25th percentile. Wages below this are outliers.
$14.66 - $21.63
23% of jobs
$21.63 - $28.61
12% of jobs
The median wage is $30.60 / hr.
$28.61 - $35.58
7% of jobs
$35.58 - $42.55
6% of jobs
$42.55 - $49.52
9% of jobs
$54 is the 75th percentile. Wages above this are outliers.
$49.52 - $56.49
7% of jobs
$56.49 - $63.46
9% of jobs
$63.46 - $70.43
6% of jobs
$70.43 - $77.40
5% of jobs
$77.40 - $84.37
2% of jobs
$7
$39
$84
A Bioinformatics Student job typically involves assisting researchers or professionals in analyzing biological data using computational tools and techniques. Responsibilities may include coding for data processing, working with genomic or proteomic datasets, and learning bioinformatics software. This role is often part of an internship or research project, helping students gain practical experience in fields like genetics, drug discovery, or systems biology.
As a Bioinformatics Student, you may work on projects involving genetic sequence analysis, protein structure prediction, or the development of computational tools for large-scale biological data. Most roles involve collaborating with research scientists, data analysts, and fellow students to solve real-world biological questions using computational approaches. You’ll also gain experience in handling and analyzing datasets from sources like genomics or transcriptomics experiments. These experiences not only build your technical skillset but also prepare you for advanced roles in research, academia, or industry after graduation.
To excel as a Bioinformatics Student, you need a solid background in biology, computer science, and statistics, often acquired through coursework or related degrees. Familiarity with programming languages like Python or R, experience using bioinformatics software (such as BLAST or Geneious), and database management are highly valued. Strong analytical thinking, attention to detail, and effective communication skills help you interpret complex data and collaborate with interdisciplinary teams. These competencies are crucial for solving real-world biological problems and contributing meaningfully to research projects.
For Bioinformatics Student jobs in Ontario, the most frequently searched job titles are:
The top searched job categories for Bioinformatics Student jobs in Ontario are:
Toronto, ON • On-site
CA$3.3K/wk
Full-time
Posted 24 days ago
Date Posted: 07/27/2026
Closing Date: 08/17/2026, 11:59PM EDT
Req ID: 49618
Job Category: Sessional Instruction
Faculty/Division: Temerty Faculty of Medicine
Department: Dept of Lab. Medicine & Pathobiology
Campus: St. George (Downtown Toronto)
Description:
Enrolment is limited to students in the Pathobiology specialist program in the Department of Laboratory Medicine and Pathobiology.
This course introduces the use and impact of genetic model systems and organisms in exploring aspects of human reproduction, development, aging and disease.
We will highlight ethical issues in animal research, genetic manipulation, and disease modeling.
This course also introduces the bioinformatics concepts and methods used in biological data analysis.
Estimated course enrollment: ~ 30 students
Estimated TA support: 1 TA (70 hours)
Class schedule: Tuesday 9am-11am (class) and Tuesday 11am-12pm (tutorial)
Sessional dates of appointment: September 1, 2026 - December 31, 2026
Salary (0.167FCE):
Sessional Lecturer I - $3,339.16
Sessional Lecturer I - Long Term - $3,573.54
Sessional Lecturer II - $3,573.54
Sessional Lecturer II - Long Term - $3,658.62
Sessional Lecturer III - $3,658.62
Sessional Lecturer III - Long Term - $3,750.45
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: PhD student in computer science or in a health science discipline with a strong background in machine learning and its application in biomedical research. Excellent programming skills in Python are required.
Preferred qualifications: Extensive research experience with applying ML in biomedical research is preferred.
Description of duties: Teaching three weekly two-hour classes on topics introducing computational methods and machine learning to undergraduate students. The duties will also creating examination assignments and examination questions covering the material presented to students, as well as reviewing a debate among students. Duties of this position shall be performed at the St. George campus.
Application instructions: Please submit application using the following form: Fall 2026 Sessional Lecturer: LMP330H1: Genetic and Computational Modeling in Human Development and Disease (0.167 FCE)
CAUTION: This ad is "posted only" to the U of T CUPE 3902 Unit 3 job board. Please see the informationdirectly above for the application instructions; applications submitted via the "Apply Now" button on this page will NOT be considered for this position.
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.
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