The Centre de recherche du CHU de Québec-Université Laval (axe Oncologie) is seeking faculty candidates for an assistant professor position at the Faculty of Medicine of Université Laval. Candidates must be conducting or aiming to develop innovative and interdisciplinary research program focusing on solving important problems in cancer biology, prevention and treatment with a major emphasis on bioinformatics, data science, and/or machine learning.
The new faculty will have the opportunity to join established research groups including the Centre de recherche sur le cancer de l’Université Laval (CRC), the Centre de recherche en données massives (CRDM) as well as the Institut intelligence et données (IID). In the last years, our institution benefited from significant investments including a new state-of-the-art Tier 3 data/computing center, led by a dedicated IT team (VALERIA) which manages our institutional data lake. We also benefit from a data-driven research platform (PULSAR), allowing researchers to share, reuse, link and increase the visibility of their data in compliance with the FAIR principles. Therefore, the new faculty will have access to a cutting-edge data research infrastructure providing easy access, flexibility and reliability for data-driven research projects. Candidates must have a Ph.D. in a relevant field of study, postdoctoral or comparable experience, a demonstrated record of research excellence and should have made important contributions to their field.
Preference will be given to applicants with an outstanding record conducting team science and collaborative research. Salary support and start-up funds are available starting in the first half of 2022. High profile candidates will have the opportunity to apply for Canada Research Chairs. Applications, including a summary of proposed research program (3 pages), a curriculum vitae and the names and addresses of two referees, should be sent before November 1st 2020 to the recruitment committee (email@example.com).
Official announcement on https://bit.ly/34y17hE