POSITION: Research Associate I (AIM4Lung (AI and ML Modeling to Manage and Mitigate Lung Cancer)
SITE: MaRS
DEPARTMENT: Research
REPORTS TO: Senior Manager, Engineering
COMPENSATION: Will be commensurate with previous experience and University Health Network approved salary ranges.
STATUS: Permanent Full-time
University Health Network (UHN) is looking for an experienced professional to fill the key role of Research Associate I in our Princess Margaret Cancer Center.
Transforming lives and communities through excellence in care, discovery and learning
The University Health Network, where \xe2\x80\x9cabove all else the needs of patients come first\xe2\x80\x9d, 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 ground breaking firsts and a purpose of \xe2\x80\x9cTransforming lives and communities through excellence in care, discovery and learning\xe2\x80\x9d, the University Health Network (UHN), Canada\xe2\x80\x99s 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.
Background:
Lung cancer is the leading cause of cancer related deaths in Canada and the world, causing more deaths in North America than the next three major cancer types combined. The treatment and management of lung cancer patients at Princess Margaret (PM) is among the best in the world but has been slow to leverage modern digital innovations to improve clinical practice. We are trying to change that.
AIM4Lung (AI and ML Modeling to Manage and Mitigate Lung Cancer) is a UHN-based research program led by Dr. Geoffrey Liu that is focused on accessing, understanding, and leveraging big data from real-world clinical settings to advance our fundamental understanding of lung cancer, to predict and prevent undesirable cancer events, and to improve the clinical management of lung cancer patients at PM and beyond. This program is composed of 4 major pillars: Data Access, Data Wrangling, Natural Language Processing, and Advanced Modeling and Analytics. We have access to an enormous and growing real-world clinical database that includes rich and comprehensive data for patient treatments, molecular testing, lab results, patient-reported outcomes, medical images, as well as free-text reports from radiology, pathology, clinic visits, and much more. We have developed an agile, productive, and interdisciplinary machine learning group that tackles independent academic projects. In addition, we collaborate with industry partners and research institutes such as TECHNA and Cancer Digital Intelligence to advance our goals of integrating AI into our electronic health system, and of building a federated clinical data and learning network across Canada.
We are currently looking to hire a motivated Research Associate to oversee this innovative computational research program.
General duties:
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