Available positions

The RHHDS program is continuously looking for candidates; contact us for more information!

Start date
Title of the research project
Post-Doctoral Research Fellow, Computational Cancer Biology
Description

A postdoctoral position in computational cancer biology is available at Quebec Heart and Lung Institute Research Center (IUCPQ) in the labs of Dr. Venkata Manem and Dr. Philippe Joubert. We seek a highly motivated individual with a track-record of Machine Learning/Deep Learning model development applied to healthcare data. The successful candidate will address developing and applying Machine Learning/Deep Learning algorithms to extract relevant biological insights from imaging and pathological data of lung cancer patients. The candidate will have access to computational infrastructures and will establish collaborations with experts in different disciplines. The position is offered for an initial one year with a possibility of extension to another year.


Responsibilities: The main objective of this project is to develop Artificial Intelligence-based biomarkers to improve the clinical management of lung cancer patients, specifically, i) Immunotherapy and computational pathology: Development of predictive biomarkers of immunotherapy response utilizing imaging data and prognostic biomarkers including pathological digitalized images; ii) Lung cancer detection: Development of novel biomarkers integrating metabolite profiles with imaging data for lung cancer detection. These projects will leverage the unique multi-OMICS datasets (genomics, medical images, pathological slides and immune profiles) generated at IUCPQ in lung cancer.


Qualifications:
• PhD in Computational Biology, Bioinformatics, Computer Science, or other related fields
• Highly motivated and self-driven candidate who thinks independently
• Ability to thrive in a collaborative research environment
• Expertise in Machine Learning/Deep Learning
• Strong programming experience (R, Python, or other languages for research)
• Experience with high performance computing infrastructure
• Strong publication record
• Ability to write and publish results in scientific journals
• Present research outcomes at various scientific forums
To apply, please submit your application with the following to philippe.joubert@criucpq.ulaval.ca or venkata.manem@criucpq.ulaval.ca
• Curriculum Vitae
• Names and email addresses of three references
• Two representative publications or preprints (if available)


Additional Information:
The position will be located at the IUCPQ. We offer a full-time contract, a highly stimulating research environment with necessary computing infrastructure.
Duration: Temporary and 1-year. Renewable for the second year
Salary: A competitive salary commensurate with the qualifications and experience of the candidate. The annual salary plus benefits will be given according to the Laval university postdoctoral fellow collective agreement.
Starting date: Spring 2021.

Start date
Title of the research project
Assistant professor position in oncology and data science at the Faculty of Medicine of Université Laval
Description

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 (recrutement.axe-oncologie@crchudequebec.ulaval.ca).
Official announcement on https://bit.ly/34y17hE

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