The Hospital for Sick Children Research Institute seeks an outstanding scientist whose research is focused on the development and utilization of computational machine learning approaches for the design and engineering of biomolecules. Designed molecular biologics - including antibodies, nanobodies, miniproteins, vaccines, enzymes, toxins, peptides, and nucleic acids - are poised to revolutionize biomedical research and therapeutic discovery.
The successful applicant will initiate and maintain an original, competitive, and independently funded research program of international caliber in the area of biomolecular design using machine learning in conjunction with experimental approaches including functional assays, structure determination, biophysical characterization and/or directed evolution.
The successful applicant is expected to qualify for an academic status-only appointment in an appropriate department at the University of Toronto, Canada’s largest university and a world leader in machine learning. The successful candidate will also be considered by thefor appointment as a Faculty Member or Faculty Affiliate.
, a description of past research , a detailed proposed research program , and copies of main research publications in PDF format to the Co-Chairs, Molecular Engineering by Machine Learning Search Committee atby November 7, 2023. Applicants must also arrange to have three signed letters of reference on institutional letter head sent directly to the Search Committee Chairs at molecularengineering.search@sickkids.ca, indicating the applicant’s name in the subject line, also by November 7, 2023.
SickKids believes that diversity positively impacts science and is essential to sustain our vibrant world-leading research community. SickKids welcomes applications from racialized persons / persons of colour, women, Indigenous Peoples, persons with disabilities, 2SLGBTQIA+ persons, and others who contribute to the further diversification of ideas.