Potential graduate students (e.g. students looking for a rotation) who have already been accepted to the departments of Medical Genetics or Computer Science are encouraged to contact Gary Bader by e-mail about positions. Please familiarize yourself with this website and express your research interests in your e-mail. Experience or strong interest in biology and computer science is expected. Computer programming ability is required e.g. Perl, Java.
Undergraduate students seeking a Computational Biology/Bioinformatics research position for the summer are encouraged to contact Gary Bader by e-mail, ideally between January-April of that year, to find out about available summer positions. Select students from the Samuel Lunenfeld Research Institute at Mount Sinai Hospital summer program may also be hired. Also, the Molecular Genetics Department has a summer program that you can apply to. Computer programming ability and a strong interest in biology is required.
- We mentor students in the Google Summer of Code program every summer. Applications are usually due annually in March.
Undergraduate Project Courses
If you plan to take an undergraduate project course and are interested in Computational Biology or Bioinformatics, please contact Gary Bader by e-mail to explore the possibilities of completing a research project in the Bader group. These courses are available in most departments, for instance in Molecular Genetics
We periodically have excellent research opportunities for Post-doctoral fellows. Please email your CV and a statement of research interests to Gary Bader.
We are looking for a Research Associate candidate to work in pathway analysis for cancer stem cell genomics.
Are you a PhD biologist who has experience analyzing genomics data and is a computer power user? We’re looking for you! Genome-scale experiments, such as gene expression microarrays or SNP genotyping, typically lead to the identification of large lists of genes. The interpretation of results and the formulation of consistent biological hypotheses from these large lists are challenging. Bioinformatics approaches can aid interpretation by relating the gene lists to knowledge about the biological system, such as known pathways. This analysis can be used to generate hypotheses that can be experimentally tested. The applicant will work with multiple investigators in a large-scale cancer stem cell program to analyze cancer genomics data, including gene expression, copy number variation, and sequence data derived from animal cancer models and patient samples. The applicant will analyze these data using existing software tools (and scripting languages whenever required), in collaboration with a professional biostatistician and will help experimental biologists interpret the results. The applicant will have a PhD in molecular biology, cell biology, biochemistry, molecular genetics, computational biology, bioinformatics or a related discipline. Outstanding communication and teamwork skills are essential. A basic knowledge of microarray data analysis is required (e.g. normalization, clustering, differential gene expression statistics). Previous experience in experimental biology research and/or genomics data analysis (e.g. Cytoscape network visualization) will be favored in applicant selection. Programming skills in other languages such as R, Matlab, Perl, Python or Java are a plus. The work will be conducted at the University Health Network and the University of Toronto, a major international centre of genomics, proteomics and systems biology research, in the heart of Toronto. There will be ample opportunity for professional development. The applicant will be co-supervised by principal investigators involved in experimental cancer research and computational biology/bioinformatics. Please send your CV and the names of 3 references to gary.bader(a)utoronto.ca
Bioinformatics Software Developers
We periodically have positions for software developers. Please email resume and details of three references to: firstname.lastname@example.org
Note: Unfortunately, due to email overload, I can only reply selectively, but don't let this discourage you from emailing me. I do read all email.