Computational oncology research awaits at the University of Calgary, emphasizing artificial intelligence and machine learning. This tenure-track appointment provides 75% protected research time.
The Assistant Professor will develop a cross-cutting computational oncology research program within Biochemistry and Molecular Biology and the Arnie Charbonneau Cancer Institute. The work may integrate advanced computing, in silico modeling, software development, data engineering, and AI/ML. Research will address tumour classification, treatment response, recurrence, or tumour behaviour.
Key Responsibilities:
Direct a cross-cutting computational oncology research program
Integrate and interpret large, complex, multiscale datasets
Develop computational methodologies for cancer diagnosis and treatment
Participate in undergraduate and graduate teaching
Mentor trainees and contribute to service activities
Requirements:
PhD or equivalent qualification
Minimum two years of postdoctoral research fellowship experience
Evidence or promise of original, high-quality research
Evidence or promise of funding ability
Evidence or promise of university-level teaching effectiveness
Develop computational oncology research using AI/ML, data engineering, and modelling at the University of Calgary.