Assistant Professor, Computational Oncology, Vancouver
Posted: May 23, 2026
Aggregated from workday. View original posting at ubc.wd10.myworkdayjobs.com. Apply directly with the employer.
Posted: May 23, 2026
Aggregated from workday. View original posting at ubc.wd10.myworkdayjobs.com. Apply directly with the employer.
The successful candidate will also be appointed as Senior Research Scientist in the Vancouver Prostate Centre and Centre for Urologic Oncology of the M.H. Mohseni Institute of Urologic Sciences. This provides access to cutting-edge facilities and collaborative research networks, offering opportunities for leadership in translational science within a vibrant academic community dedicated to improving patient outcomes through innovation and evidence-based practice.
UBC is committed to attracting and sustaining a diverse workforce, believing it is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff, and students. Our commitment to employment equity helps achieve inclusion and fairness, bringing rich diversity to UBC as a workplace and creating the necessary conditions for a rewarding career.
Reporting to the Head of the UBC Department of Urologic Sciences, you will develop and lead an independent research program in computational oncology. This program will focus 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, particularly prostate, bladder, and kidney cancer.
Your research program will draw on expertise in probabilistic modelling and causal machine learning, phylogenetic and evolutionary inference, clonal dynamics, and immune-tumour interactions. It will emphasize rigorous uncertainty quantification and reproducible, scalable analysis of large multi-omics datasets. You will work closely with clinical and experimental collaborators to translate computational findings into testable hypotheses, biomarkers, and decision-relevant insights.
Additionally, you will participate in the teaching activities of the Department, providing mentorship and training to undergraduate, graduate, and postgraduate learners. You will also contribute service to the University and broader academic community, including peer review, committee participation, and initiative development, working collaboratively across disciplines to advance strategic initiatives.
You will possess a PhD in Computational Biology, Bioinformatics, or a closely related field, with a demonstrated focus on quantitative modelling of cancer evolution and clonal dynamics using single-cell whole genome sequencing and/or longitudinal patient or experimental data. You should have research expertise in causal machine learning, computational modelling, and single-cell multi-omics.
The role requires experience modelling mechanisms of genome structural dynamics in clinical cohorts of patients with cancer. You must have a proven ability to develop novel computational methodologies, including Bayesian generative models, phylogenetic inference tools, and algorithms for multimodal data integration. A demonstrated history of collaboration with clinicians and experimentalists, including work on patient-linked cohorts or translationally relevant experimental systems, is also essential.
Prior experience teaching computational statistics, Bayesian analysis, and software engineering is expected. Furthermore, you will demonstrate a willingness to respect diverse perspectives and a commitment to enhancing your own awareness, knowledge, and skills related to equity, diversity, and inclusion. Evidence of ability in teaching and scholarly activity is also required.
The expected salary for this position is $120,000 per annum, in addition to startup funding. The Faculty of Medicine is committed to offering equitable and competitive salaries, commensurate with the qualifications and experience of the candidate. At UBC, faculty members receive a generous benefit package and a highly valued pension plan.
Faculty members also have access to a comprehensive range of leaves, services, resources, and career development opportunities. We are dedicated to creating and maintaining an inclusive and equitable work environment, appreciating and integrating differences into our structures, planning, and decision-making processes. Confidential accommodations are available upon request during the recruitment process.
The University of British Columbia Faculty of Medicine and its distributed programs are located on the traditional, ancestral, and unceded territories of First Nations Peoples and communities. UBC is one of the world's leading universities, fostering global citizenship, advancing a civil and sustainable society, and supporting outstanding research.