The Computational and Statistical Genomics (CSG) lab at McGill University is recruiting a Postdoctoral Researcher. The successful candidate will join an interdisciplinary team of computational and experimental biologists working at the intersection of machine learning, statistical inference, and genomics, in order to understand the genetic and molecular basis of gene regulation, the role of gene regulation in cancer, and the gene regulatory mechanisms that can be exploited to inhibit the cancer cell.
We are interested in a broad range of backgrounds related to computational and functional genomics. Candidates with a PhD in bioinformatics, computational biology or related areas are particularly encouraged to apply. Strong analytical and programming skills, as well as experience with bioinformatics tools and data resources are desirable. Preference will be given to candidates who have experience in design, implementation, or application of computational methods for analysis of large-scale genomics data, such as ChIP-seq, RNA-seq and single-cell RNA-seq. Familiarity with methods in machine learning and statistical inference is a plus.
Interested applicants should send a cover letter, CV, and the contact information of at least two references to:
Hamed S. Najafabadi, Ph.D.
Assistant Professor, Department of Human Genetics, McGill University
McGill University and Génome Québec Innovation Centre
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 3,000 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.