Area of Research
The University of Toronto (U of T) invites applications to fill multiple computational post-doctoral positions in the laboratory of Dr. Jesse Gillis. The successful candidates will join a team at U of T and abroad working to understand the molecular and functional basis of cellular properties in diverse systems, including mammalian brains. This is a largescale project involving a number of complementary positions, ranging from bioinformatics, to neuroscience, to molecular genetics. This interdisciplinary work offers opportunities to address important questions in computational biology and molecular genetic with first access to large novel data sets from single-cell RNA-seq. The expected duration of this fully funded position is approximately 3-5 years with renewal at the end of each year.
A major conceptual focus of the project will be developing new ways of assessing large-scale data for replicable signals. The positions offer substantial scope for training candidates interested in making a leap from computer science, neuroscience or genetics to data-focused research, particularly if it has arisen informally in their previous work.
This research sits at the intersection of computational biology and molecular genetics. A strong candidate would have expertise in one of these areas and an interest in learning about the other. While a broad range of backgrounds are suitable for this position, a PhD in bioinformatics or computational biology is desirable.
A particular focus of our methodological research is replicability and meta-analysis and an interest in these areas is helpful. Experience with either Python or R is a plus.
Exceptional applicants without a formal computational background will also be considered, particularly if they are familiar with standard bioinformatics tools. The Gillis lab has a strong record of post-doctoral success, including trainees who have made the jump from wet-lab to dry-lab research.
All individuals interested in this position must submit a letter of interest outlining your research accomplishments, CV, and the contact information of three references. Applications can be sent directly to email@example.com.