Computational Biology Scientist

Institution/Company:
Princess Margaret Cancer Centre
Location:
Toronto, ON, Canada
Job Type:
  • Faculty
Degree Level Required:
PhD
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Computational Biology Scientist

The Princess Margaret Cancer Centre at the University Health Network (UHN) is seeking an outstanding scientist with a research program focused on computational cancer biology with a special emphasis on integrative analysis of multimodal high-throughput molecular profiling data. We are seeking to recruit an early career PhD, MD or MD/PhD scientist. The successful candidate will have an outstanding research track record during their PhD and post-doctoral training and be expected to develop an independent world-class research program. The successful candidate will also be considered for an appointment at the Vector Institute dedicated to research in the field of artificial intelligence (AI), excelling in machine and deep learning.

The successful candidate will be part of the rich bioinformatics and computational biology community in Ontario across world-class institutes such as the Ontario Institute for Cancer Research and the Donnelly Centre for Cellular and Biomolecular Research. As a Scientist at the Princess Margaret Cancer Centre, the successful candidate will have access to expertise and resources available within the Data Science Program (pmdatascience.ca), the Computational Biology and Medicine Program (cbmp.ca) and the large-scale computing infrastructure of the HPC4Health (hpcforhealth.ca) and the recent SciNet4Health initiatives. As part of the Vector Institute, the candidate will have the freedom to pursue independent machine learning-based research initiatives.

About the Princess Margaret Cancer Centre at UHN Based in the heart of the vibrant and diverse city of Toronto, the Princess Margaret Cancer Centre is one of the world’s top cancer research institutes and is home to over 300 faculty clinicians and scientists. The Princess Margaret is world-renowned for ground-breaking cancer discoveries in areas including stem cells, genetics and epigenetics, and immune oncology. Seeing over 18,000 new patients per year, the Cancer Centre has a vibrant clinical research program evaluating novel therapeutics with deep correlative studies and a basic research program developing cutting-edge technologies to study the multiple facets of carcinogenesis and therapy response.

About the Vector Institute The Vector Institute (vectorinstitute.ai) is an independent non-profit entity, with Members and Affiliates from the University of Toronto and other Canadian universities. It is supported with generous funding from the provincial and federal governments, as well as Canadian industry. The Vector Institute houses over a hundred students, dozens of faculty members, hordes of state-of-the-art compute power, and an army of dedicated staff.

Responsibilities:

  • To lead research programs focused on computational cancer biology
  • To engage in cutting-edge technologies and studies involving novel therapeutics and clinical datasets
  • To develop world-class programs in “OMICS” studies
  • To collaborate in a community of bioinformaticians with access to large-scale computing infrastructure
  • To pursue research initiatives on AI and machine learning

Qualifications:

  • At minimum, a PhD is required
  • Experience in fostering collaborations between diverse research and clinical groups Experience in computational biology
  • Expertise in managing and analyzing multi-omics and large data sets
  • Track record that demonstrates publishing in high impact peer reviewed journals, obtaining funding from various sources, disseminating research at formal scientific meetings, and participation in the education and supervision of students and trainees
  • Demonstrate strong leadership skills
  • How to Apply

    To apply, please send your CV, as well as a description of their research interests and program to Dr. Aaron Schimmer, Research Director, email: Aaron.Schimmer@uhn.ca