Baines Res. Chair in Translational Cancer Imaging

Schulich School of Medicine & Dentistry, Western University
Location: 
London Regional Cancer Program, London ON Canada
Job Type: 
Full Time
Closing Date: 
Saturday, February 24, 2018

The Department of Medical Biophysics, within the Schulich School of Medicine & Dentistry, invites applications for a full-time probationary (tenure-track) faculty position at the rank of Assistant Professor, to begin on July 1, 2018. This position will have a research focus on computational analysis of biomedical images for cancer research, including quantitative biological image analysis.

The position will fit into a growing initiative in translational cancer imaging research at the Gerald C. Baines Centre for Translational Cancer Research (the “Baines Centre”) and the Victoria Hospital Cancer Research Laboratories at London Health Sciences Centre (LHSC). Established in 2010, the Baines Centre co-locates basic and clinician scientists within the London Regional Cancer Program (LRCP) at LHSC and houses an imaging research laboratory, radiochemistry laboratory, and clinical trials unit. The adjacent Victoria Hospital Cancer Research Laboratories are home to cancer biology, medicinal chemistry and experimental physics programs. The successful applicant will build on a rich culture of collaboration between Baines Centre investigators and investigators from Biochemistry, Medical Physics, Oncology, Medical Imaging, Surgery, Pathology and Computer Science within LHSC/LRCP, the Lawson Health Research Institute (LHRI), the Robarts Research Institute (RRI) and citywide. The successful applicant will establish an independent, externally funded research program focused on development and validation of cutting-edge techniques for the acquisition and extraction of cancer-relevant information from biomedical image data. The successful applicant will: 1. Have demonstrated expertise and experience in computational algorithm development and validation for image segmentation, registration or classification at the cellular, tissue or organ level. Such expertise may include, but is not limited to, one or more of the following: a. Machine learning, including deep learning techniques, for cancer detection, diagnosis, prognosis, and treatment response based on imaging, biologic, genomic, and/or clinical data. b. Correlation of medical and biological images to histologic, genomic, proteomic, and metabolomic profiles. c. Medical image processing for image-guided procedures in oncology. d. Design and execution of expert observer studies supporting clinical translation of novel medical image analysis tools. 2. Have demonstrated potential to apply these computational techniques in the development and interpretation of pre-clinical or clinical models of disease. 3. Have demonstrated experience working in a multi-disciplinary, team-oriented research environment, including establishment and cultivation of effective intramural and extramural research collaborations with clinicians and basic scientists.