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Contents
Students
Graduate Students
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.
Co-op Students
Co-op students (e.g. from the University of Waterloo co-op program) are encouraged to contact Gary Bader by e-mail about positions.
Summer Students
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
Post-Doctoral Fellows
We periodically have excellent research opportunities for Post-doctoral fellows. Please email your CV and a statement of research interests to Gary Bader.
Research Associates
We are looking for a Research Associate candidate to work in pathway analysis for stem cancer cells genomics.
BACKGROUND Genome-scale experiments, such as SNP or gene expression microarrays, typically lead to the identification of large gene-lists. The interpretation of results and the formulation of consistent biological hypotheses from these large lists are challenging. Computational approaches can aid interpretation by relating the gene lists to knowledge about the biological system, such as known pathways. This computational analysis can be used to generate hypotheses that can be experimentally tested. RESPONSABILITIES The applicant will work with multiple investigators in a large-scale cancer stem cell program to provide bioinformatics analysis of cancer genomics data, including gene expression, copy number variation, and sequence data derived from animal cancer models and patient samples. REQUIREMENTS The applicant will have a PhD in molecular biology, molecular genetics, computational biology, bioinformatics or a related discipline. Evidence of excellent communication and teamwork skills is essential. A solid knowledge of basic statistics (hypothesis testing, multiple correction, normalization, clustering) is also required. Previous experience in experimental biology research, microarray data analysis (e.g. pathway analysis, GSEA, Cytoscape) and R programming will be favored in applicant selection. Programming skill in other languages such as Matlab, Perl, Python or Java is a plus. LOCALE 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 ample opportunity for professional development through research seminars, workshops and research in progress meetings. CONTACT Please send your CV
Bioinformatics Software Developers
We periodically have positions for software developers. Please email resume and details of three references to: ccbr.software.jobs@gmail.com
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.