Jobs

Want to devote your expertise in data science to accelerate the pace at which new medicines are found? Our lab develops and applies methods to extract quantitative information from high-throughput biological images, integrated with transcriptomics and proteomics integrated with transcriptomics and proteomics.

More than 250 million people are chronically infected with Hepatitis B virus (HBV) with no effective cure. My lab is part of the Toronto Centre for Liver Disease, one of the largest liver clinics in North America, with an active clinical trial research program testing novel hepatitis B therapies in Phase 1- 3 clinical trials. New studies are incorporating longitudinal liver sampling with single-cell RNA sequencing (scRNAseq) to better understand the intrahepatic immune response to novel treatments in the context of viral control and liver inflammation.

We are looking for a bioinformatician with demonstrated experience single-cell RNA sequencing analysis and an interest in incorporating new artificial intelligence tools into the analysis pipeline. The anticipation is that this qualified person will be able to work with large scRNAseq datasets with cell numbers >3,000,000 cells and be able to code in relevant languages to incorporate the latest analysis tools.

This is an opportunity to work with state-of-the-art data in the context of novel drugs in early-stage clinical trials. The position will involve industry collaboration with the expectation of academic publication. There will also be internal opportunities for collaboration in our basic research projects focused HBV pathogenesis using similar samples.

We are seeking a postdoctoral researcher with strong expertise in computational biology, statistical modeling, and analysis of high-dimensional biological and clinical data to contribute to an interdisciplinary research program focused on reproducible computational pipelines for translational cancer research. The lab has a strong focus on developing computational and machine learning approaches for biomarker discovery, therapeutic response modeling, and clinical translation in oncology.

The research program includes several ongoing and evolving projects in glioma and related cancers, broadly focused on tumor microenvironment characterization, liquid biopsy analysis, clinical trial correlative and multi-omics data integration. Current work involves analysis and integration of single-cell sequencing and immune repertoire data, circulating cell-free DNA (cfDNA) for biomarker development and disease classification, metabolomic profiling in relation to clinical variables, and large-scale genomic datasets, including whole-genome sequencing from multi-institutional collaborations. These projects are representative and not exhaustive, and the scope of work may expand to include additional data types and research directions.

Together, these efforts aim to advance translational cancer research through the development and application of computational pipelines and machine learning approaches to characterize disease biology, therapeutic response, and clinical outcomes from high-throughput genomic and clinical data. The successful candidate will work in the Kevin Wang Lab at the Princess Margaret Cancer Centre, and will have the opportunity to contribute to multiple projects and help shape new research directions within the lab.

The Mer Lab ( merlab.github.io/) at the University of Ottawa, Canada, is seeking a highly motivated postdoctoral fellow to develop machine learning and AI methods for large-scale biomedical data analysis, with a focus on multi-omics, precision medicine, and human disease.

The successful candidate will work at the intersection of bioinformatics, machine learning, artificial intelligence, and personalized medicine. The position is based in the Faculty of Medicine at the University of Ottawa, with affiliation to the School of Electrical Engineering and Computer Science. The postdoctoral fellow will join a vibrant and rapidly growing research environment with excellent opportunities for interdisciplinary collaboration in AI, medicine, omics, and computational biology.

Ottawa, Canada’s capital, is a multicultural and bilingual city known for its high quality of life, green spaces, cultural activities, and proximity to Montréal and Toronto.