Organisation Name: University Health Network (UHN)
Organisation Type:
City:
State:
Country:
Job Description:
Position: Postdoctoral Fellow Site: Princes Margaret Research Institute Department: Research Reports to: Principal Investigator Status: Temporary Full time (2 years) University Health Network (UHN) is looking for an experienced professional to fill the key role of Postdoctoral Research Fellow in the transnational prostate cancer genomics program located in Princess Margaret Hospital Research Institute, Toronto, Canada. Transforming lives and communities through excellence in care, discovery and learning. The University Health Network, where “above all else the needs of patients come first, encompasses Toronto Rehabilitation Institute, Toronto General Hospital, Toronto Western Hospital, Princess Margaret Cancer Centre and the Michener Institute of Education at UHN. The breadth of research, the complexity of the cases treated, and the magnitude of its educational enterprise has made UHN a national and international resource for patient care, research and education. With a long tradition of groundbreaking firsts and a purpose of “Transforming lives and communities through excellence in care, discovery and learning, the University Health Network (UHN), Canada’s largest research teaching hospital, brings together over 16,000 employees, more than 1,200 physicians, 8,000+ students, and many volunteers. UHN is a caring, creative place where amazing people are amazing the world. University Health Network (UHN) is a research hospital affiliated with the University of Toronto and a member of the Toronto Academic Health Science Network. The scope of research and complexity of cases at UHN have made it a national and international source for discovery, education and patient care. Research across UHN's five research institutes spans the full spectrum of diseases and disciplines, including cancer, cardiovascular sciences, transplantation, neural and sensory sciences, musculoskeletal health, rehabilitation sciences, and community and population health. Find out about our purpose, values and principles here. We are seeking a postdoctoral fellow to join the translational prostate cancer genomics program at Princess Margaret Cancer Centre. Our program is composed of a multidisciplinary team of experts in cancer genomics and epigenomics, urology, radiation oncology, uropathology, prostate cancer biology, and bioinformatics; the overarching goal of the program is to identify, validate, and implement molecular prognostic and predictive biomarkers to improve clinical management and cure rates for the over 25,000 Canadian men diagnosed with prostate cancer every year. Under the joint supervision of Drs. Hansen He and Michael Fraser, the incumbent’s primary focus will be independently driving a project focused on identifying molecular predictors of aggressive prostate cancer associated with the presence of adverse histopathologies. Responsibilities: • Independently lead primary and secondary analysis of large cancer genomic and epigenomic datasets, including whole-genome sequencing, molecular inversion probe microarrays, and DNA methylation arrays. • Utilize machine learning techniques to develop and validate multimodal molecular signatures associated with adverse histopathologies in localized prostate cancer. • Perform outcome-driven comparative genomic analyses, leveraging the Canadian Prostate Cancer Genome Network (CPC-GENE) and international Pan-Prostate Cancer Group (PPCG) datasets, to address bespoke research questions pertaining to prostate cancer. • Liaise with the broader prostate cancer genomics community in Toronto to support the broader mission of the Princess Margaret prostate cancer genomics program. • Assist with grant and manuscript writing and general lab oversight, as required. Qualifications • Ph.D. in computational biology/bioinformatics, molecular biology, or related field • Demonstrated ability to work collaboratively within a large, multidisciplinary team • Experience with machine learning and statistical analysis of large, multi-dimensional datasets, including multivariable survival analyses • Demonstrated experience in the R programming language is a requirement; experience with other scripting languages (e.g. Python) is an asset • Experience with analysis of large cancer genomics datasets (e.g. ICGC, TCGA, etc) is a definite asset • Experience with basic wet lab techniques not required but would be considered an asset • Working knowledge of basic cancer biology is an asset • Ability to independently drive the intellectual and technical components of the research • Attention to detail and strong organizational skills; ability to handle multiple competing priorities • Excellent verbal and written communication If you are interested in making your contribution at UHN, please apply on-line. You will be asked to copy and paste as well as attach your CV, three letters of recommendation and a research statement as one PDF file. You will also be required to complete some initial screening questions. Posted Date: October 17, 2019 Closing Date: Until filled UHN thanks all applicants, however, only those selected for an interview will be contacted. UHN is a respectful, caring, and inclusive workplace. We are committed to championing accessibility, diversity and equal opportunity. Requests for accommodation can be made at any stage of the recruitment process providing the applicant has met the Bona-fide requirements for the open position. Applicants need to make their requirements known when contacted.