Assistant Professor, Computational Oncology and Single Cell Genomics

The Department of Urologic Sciences at The University of British Columbia (UBC) invites applications for a full-time, research-focused faculty position in computational oncology at the rank of Assistant Professor, Grant Tenure Track. The successful candidate will develop and lead an independent research program in computational oncology, centred on new quantitative and machine-learning methods that integrate single-cell genomics and spatial profiling to study cancer evolution, therapy resistance, and immune escape in urologic cancers (especially prostate, bladder and kidney cancer).

Requirements

• PhD in Computational Biology, Bioinformatics, or a closely related field
• Research expertise in causal machine learning, computational modeling, and single-cell multi-omics
• Experience modeling mechanism of genome structural dynamics in clinical cohorts of patients with cancer
• Proven ability to develop novel computational methodologies, including Bayesian generative models, phylogenetic inference tools, and algorithms for multimodal data integration
• Demonstrated history of collaboration with clinicians and experimentalists, including work on patient-linked cohorts or translationally relevant experimental systems
• Prior experience teaching computational statistics, Bayesian analysis, and software engineering

Benefits

• Generous benefit package
• Highly valued pension plan
• Comprehensive range of leaves, services, resources and career development opportunities