The Computational and Statistical Genomics (CSG) lab at McGill University is looking for motivated M.Sc. and Ph.D. students who want to develop expertise in developing and applying innovative computational methods for solving problems related to functional genomics and epigenomics.
We work with several interdisciplinary teams of experimental and computational biologists for large-scale characterization of human gene regulatory programs and their association with human diseases. These projects include a collaborative work with University of Toronto and ENCODE to characterize the regulatory landscape of hundreds of human transcription factors, a collaborative project with the CAGEKID program to characterize the genomic and epigenomic landscape of renal cell carcinoma, and ongoing projects in collaboration with researchers at University of California, San Francisco to characterize the structural RNA elements that govern post-transcriptional regulation.
Successful applicants should have an undergraduate degree in computer science, biology or related areas, and meet the admission requirements for the Department of Human Genetics.
Familiarity with methods in computational biology, bioinformatics, machine learning and/or statistical inference are highly desired.
Interested applicants should send a cover letter, CV, and the contact information of at least two references to:
Hamed S. Najafabadi, Assistant Professor
Department of Human Genetics, McGill University
McGill University and Génome Québec Innovation Centre
hamed.najafabadi@mcgill.ca
This position is available immediately. Applications will be considered until the position is filled.
McGill University and Génome Québec Innovation Centre is a world-class genome center located at the heart of McGill University. The Centre provides cutting-edge research environment for genomics, epigenomics, and computational biology, and hosts more than 200 faculty, students, and staff. The Centre is equipped with state-of-the-art genomics and computational facilities, including the capacity to generate, store and analyze more than 800 Tbp of sequencing data per year.
McGill University is committed to equity in employment and diversity. It welcomes applications from indigenous peoples, visible minorities, ethnic minorities, persons with disabilities, women, persons of minority sexual orientations and gender identities, and others who may contribute to further diversification.