Postdoctoral Researcher

The University Health Network, where “above all else the needs of patients come first”, encompasses Toronto General Hospital, Toronto Western Hospital, Princess Margaret Cancer Centre, Toronto Rehabilitation Institute and the Michener Institute of Education. 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 “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.

Position Summary

We seek a postdoctoral fellow to develop innovative machine learning (ML) and deep learning (DL) 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

Submit a CV, a copy of your most relevant paper, and the names, email addresses, and phone numbers of three references to [email protected]. The subject line of your email should start with “POSTDOC AIRCHECK - SGC”. All documents should be provided in PDF.

Deadline

Applications must be submitted before March 17, 2024.

Team

The candidate will work in a large multidisciplinary team within the Structural Genomics Consortium and multiple associated laboratories:

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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.

All UHN Employees are required to be fully vaccinated with a COVID-19 vaccine series, approved by Health Canada or the World Health Organization, as a condition of hire. Proof of COVID-19 vaccination will be required. Should you be the successful candidate, you will be required to comply with UHN’s mandatory Vaccination Policy that is in effect.

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.