Genetic Modeling Sessional Lecturer

Engage students at the University of Toronto as a Sessional Lecturer for LMP
330H1, focusing on genetic and computational modeling in human development and disease. This course combines teaching with essential bioinformatics concepts and ethical discussions in animal research.

The role requires teaching three two-hour classes per week, emphasizing machine learning applications in biomedical research. A PhD student in computer science or health sciences with strong programming skills in Python is essential. The position runs from September 1, 2026, to December 31, 2026.

Key Responsibilities:

• Teach three classes weekly on genetic modeling topics

• Develop examination assignments and questions for students

• Facilitate student debates on relevant ethical issues

• Provide tutorials to support student understanding

• Utilize bioinformatics methods in course delivery

Requirements:

• PhD student in relevant disciplines

• Strong background in machine learning applications

• Excellent Python programming skills

• Teaching experience in higher education

• Preference for candidates advanced in Sessional Lecturer ranks

Elevate student engagement through innovative teaching and machine learning expertise at the University of Toronto.
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