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.

📌 Assistant Professor Computational Oncology (Calgary)
🏢 University-of-Calgar
📍 Calgary