- Salaire À discuter
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Temps plein
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Publié il y a 9 jour(s)
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1 poste à combler dès que possible
Description
UHN is Canada’s #1 hospital and the world’s #1 publicly funded hospital. With 10 sites and more than 44,000 TeamUHN members, UHN consists of Toronto General Hospital, Toronto Western Hospital, Princess Margaret Cancer Centre, Toronto Rehabilitation Institute, The Michener Institute of Education and West Park Healthcare Centre. As Canada's top research hospital, the scope of biomedical research and complexity of cases at UHN have made it a national and international source for discovery, education and patient care. UHN has the largest hospital-based research program in Canada, with major research in neurosciences, cardiology, transplantation, oncology, surgical innovation, infectious diseases, genomic medicine and rehabilitation medicine. UHN is a research hospital affiliated with the University of Toronto.
UHN’s vision is to build A Healthier World and it’s only because of the talented and dedicated people who work here that we are continually bringing that vision closer to reality.
www.uhn.ca
Position Summary:
We seek a Data scientist to develop innovative machine learning (ML) and Artificial Intelligence (AI) methods to predict drug-like small molecules from large chemical screens based on the DNA Encoded Library (DEL) and Affinity Selection Mass Spectrometry (ASMS) technologies.
The candidate will be hosted by the Structural Genomics Consortium (SGC), Haibe-Kains and Schapira labs. The candidate will be responsible for aggregating the existing and future drug screening data and developing novel integrative machine learning/AI models for the identification of potential drug targets; approved or experimental drugs.
The candidate will be assisted by software developers to leverage internal tools (AIRCHECK) in order to develop, train and test ML and DL predictive models, independently or in collaboration with other experts in the Haibe-Kains and Schapira labs and other SGC collaborators.
Duties:
UHN uses email to communicate with selected candidates. Please ensure you check your email regularly.
Please be advised that a Criminal Record Check may be required of the successful candidate. Should it be determined that any information provided by a candidate be misleading, inaccurate or incorrect, UHN reserves the right to discontinue with the consideration of their application.
UHN is an equal opportunity employer committed to an inclusive recruitment process and workplace. Requests for accommodation can be made at any stage of the recruitment process. Applicants need to make their requirements known.
We thank all applicants for their interest, however, only those selected for further consideration will be contacted.
Exigences
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