Postdoctoral Fellow in Computational Biology

We invite applications for a postdoctoral position in the CSG lab (http://csg.lab.mcgill.ca/) at McGill University. The successful candidate will join an interdisciplinary team of computational and experimental biologists working at the intersection of machine learning, statistical inference, and genomics to understand the genetic and molecular basis of gene regulation, characterize the role of gene regulatory factors in determining cell identity and function, and uncover the gene regulatory basis of human diseases.

Research areas that we are excited about include, but are not limited to, development of new statistical and machine learning methods for analysis of high-dimensional multi-modal omics data, machine learning-based sequence-to-activity models, and AI models for omics-based diagnosis and prognosis of diseases.

As a postdoctoral researcher, you will develop and lead a world-class project to address biological questions at the forefront of genomics and gene regulation. As part of this project, you will develop methods based on machine learning and/or statistical inference to analyze various omics data, characterize cellular phenotypes and trajectories, understand how cell identity and behaviour is encoded in the genomic sequence, and/or uncover the gene regulatory basis for development and progression of human diseases such as cancer.

We are interested in a broad range of backgrounds related to computational biology and genomics. The ideal candidate will have strong analytical and programming skills, demonstrated expertise in development or application of methods based on machine learning and/or statistical inference, and familiarity with methods for analysis and modeling of large-scale genomics data, such as single-cell omics, short- and/or long-read RNA-seq, and/or ChIP-seq.