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About the Role
This course introduces the use and impact of genetic model systems and organisms in exploring aspects of human reproduction, development, aging and disease. It highlights ethical issues in animal research, genetic manipulation, and disease modeling, and introduces bioinformatics concepts and methods for biological data analysis.
Responsibilities
- Teaching three weekly two-hour classes on topics introducing computational methods and machine learning to undergraduate students.
- Creating examination assignments and examination questions covering the material presented to students.
- Reviewing a debate among students.
Requirements
- 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.
Skills
- Machine learning
- Biomedical research
- Python programming
- Bioinformatics
Location
- St. George campus
Work Type
- Sessional Instruction
- Full-time
Experience Level
- Sessional Lecturer I
- Sessional Lecturer I – Long Term
- Sessional Lecturer II
- Sessional Lecturer II – Long Term
- Sessional Lecturer III
- Sessional Lecturer III – Long Term
Education Level
- PhD student
Salary/Compensations
- 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
About the Company
- Temerty Faculty of Medicine
- Department of Laboratory Medicine and Pathobiology
Equal Opportunity
- This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement.
- 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.