Our Graduates are in demand in academic departments, government agencies, and industry
The major strength of the Department of Molecular Genetics is its widely recognized Faculty who run a remarkable variety of world-class research programs in diverse areas such as:
- Genetic Models of Development and Disease
- Molecular Medicine and Human Genetics
- Cellular and Molecular Structure and Function
- Molecular Microbiology and Infectious Disease
- Computational and Systems Biology
- Functional Genomics and Proteomics
Our Faculty have made important contributions in many fields and have been the recipients of numerous national and international awards. As a Department, our major focus is on graduate training. Graduates from our programs regularly gain postdoctoral positions in prestigious laboratories and staff positions in major universities, research institutes and industry throughout the world.
Quantitative and Computational Biology Ph.D. Tracks
Research in molecular genetics is increasingly driven by technology and the analysis of the systems-level datasets that new technology has enabled. As a result, there is a high demand for researchers who have a solid grounding in quantitative sciences as well as biology. Because few students will have fully achieved this goal as undergraduates, we have developed two Ph.D. ?tracks? within the Molecular Genetics graduate orogram aimed at training this next generation of scientists.
The Quantitative Biology in Molecular Genetics Track (QBMG): This Ph.D. track has been crafted for students who initially specialized in computer science, physics, chemistry, mathematics, statistics, engineering, and other quantitative disciplines as an undergraduate and/or M.Sc student. The QBMG Track will provide quantitative scientists with a foundation in modern biology and mentor them towards leadership in cutting-edge interdisciplinary research.
The Computational Biology in Molecular Genetics Track (CBMG): Computational biology is playing an increasingly critical role in molecular genetics. The CBMG Ph.D. track will provide students who have been primarily trained in biology, but also have an aptitude for quantitative science, with an immersive computational biology curriculum, and leadership in the new discipline of computational molecular genetics.
Members of the department participate in two interdepartmental collaborative graduate programs that provide students with the opportunity to benefit from the wealth of expertise in the University of Toronto community in areas of research that span the boundaries between traditional departments. More information on each of these programs can be found on their web sites:
- Collaborative Program in Developmental Biology
- Collaborative Program in Genome Biology and Bioinformatics
For a list of Faculty members participating in these collaborative programs see here.