Log in
Home
Log in

Job Listings

Our Jobs Board serves Canadians and features a wide variety of bioinformatics positions across Canada and globally. Discover your next career move here!

Disclaimer: OICR and the Bioinformatics.ca are not affiliated with and have not investigated the companies listing jobs on this site.
OICR and Bioinformatics.ca do not endorse any of the positions and do not represent any of the companies listed. The OICR and Bioinformatics.ca reserve the right to select and edit job postings which are added to this site.

new

Co-op

Canadian Centre for Computational Genomics (C3G) / McGill University, 

Montreal

, Quebec

, Canada

The Canadian Centre for Computational Genomics (C3G) at McGill University is now accepting applications for Summer Internship positions taking place in Montreal from May 1 to August 31, 2025. We are a bioinformatics and computational genomics academic platform that provides case-by-case consulting services for the analysis and organization of large genomic data sets in addition to developing software solutions for the research community. We are seeking applicants with a strong interest in bioinformatics, computational biology, and software development. To apply, candidates must meet the following requirements: Must be a Canadian citizen, permanent resident, or hold a valid Canadian study permit. Must be an undergraduate or graduate student, returning to their current registered faculty in the 2025 fall semester. Availability for full-time commitment for the duration of the internship. Interns will be paid via stipend/award, bi-weekly payments, fixed hourly rate starting at $18.50, usually for 33.75 hours per week. Interested students can apply using the form at computationalgenomics.ca/careers-internships and selecting Internship as the type of opportunity. We are asking candidates to clearly indicate only one or two projects (using the name or code) that are of their interest in their cover letter or CV, if they don’t the application will be considered with lower priority. The deadline to apply is Monday March 3, 2025, at noon (EST). For more information, please contact internships@computationalgenomics.ca

new

Faculty

University College Dublin, 

Dublin

, Ireland

University College Dublin is recruiting fifty early-career faculty through the Ad Astra Fellowship programme. Within the School of Medicine there are two posts within the broad area of AI in medicine. The application of artificial intelligence in clinical medicine and biomedical research and practice is a key strategic priority of the School. In this post, the successful applicant will be involved in state-of-the-art research and teaching in the application of AI to medicine and medical research. This will cover areas including, but not limited to the role of AI in diagnostics, data analysis and clinical intervention decisions.

6 days ago

Investigator

Ontario Institute for Cancer Research, 

Toronto

, Ontario

, Canada

The PI will be expected to mentor trainees and early career investigators, to build collaborations both within and outside the OICR community, and to work with FACIT, OICR’s commercialization partner, to translate research findings into real-world products and services. In addition to base funds provided by the Institute to support the PI’s salary and core personnel, the PI is expected to raise additional research funds from external competitive granting agencies. OICR will assist the PI in obtaining a faculty appointment at the University of Toronto or another affiliated academic institution.   In the case of a successful senior candidate, OICR will provide opportunities to take on leadership responsibilities within the Computational Biology program. The incumbent will work with other senior leaders at OICR and make significant contributions to develop strategic research priorities and operational tactics.   Housed within OICR’s Adaptive Oncology theme, the Computational Biology Program provides a robust intellectual environment with multiple investigators working with technologies ranging from spatial ‘omics to large language models of clinical records. An institutional cluster comprising ~9,000 CPU threads, and 18 GPU servers with a total of 36 NVIDIA CUDA cards as well as a large OpenStack virtualization environment, is available to support analysis by members of the Program. In addition, extensive compute resources, including large GPU clusters, are available to OICR faculty via Canada’s Digital Research Alliance.   OICR is a multi-disciplinary, team-science-driven translational research institute with PIs working in the areas of medical imaging instrumentation, robotics, drug design and development, biomarker discovery and assay development, spatial biology, and genomics. In addition to the facilities provided by the Computational Biology Program, the candidate will have access to a series of technology platforms for large-scale molecular data generation ranging from whole genome sequencing of challenging clinical specimens, to spatial transcriptomics and proteomics, cell-free DNA analysis, long-read sequencing, and digital histopathology. OICR develops and hosts multiple biobanks comprising hundreds of thousands of tissue and blood specimens, including the Ontario Health Study and the Ontario Tumour Bank. In addition, OICR develops and operates multiple data-rich biological databases including the international ICGC-ARGO Cancer Genome data platform, the Ontario Hereditary Cancer Research Network, and the Ontario node of the TFRI Marathon of Hope Comprehensive Cancer Centre Network. We are the host institution for the Global Alliance for Genomics in Health and a co-developer of the Pan-Canadian Genome Library. Finally, we believe in open-source and community development and are a signatory to the San Francisco Declaration on Research Assessment (DORA).   Please visit https://oicr.on.ca/research-portfolio/ for details on our research portfolio.

11 days ago

PhD

Université du Québec à Montréal, Département d’Informatique, 

Montreal

, Quebec

, Canada

Étudiant de doctorat en Informatique ou en Bioinformatique à l’Université du Québec à Montréal (Montréal, Canada) Contexte du projet La comparaison de séquences génétiques et génomiques est essentielle pour comprendre la diversité du vivant. Les arbres et réseaux phylogénétiques ont grandement contribué à notre compréhension de l’histoire du vivant. Cependant, l’augmentation exponentielle des séquences génétiques disponibles nécessite de nouvelles méthodes pour explorer la diversité des données évolutives. Le projet est mené par une équipe multidisciplinaire de l’Université du Québec à Montréal (UQAM) (Prof. Vladimir Makarenkov), de l’Université de Sherbrooke (Prof. Guillaume Blanchet et Prof. Nadia Tahiri) et de l’Université de Montréal (Prof. Pierre Legendre). Objectif du projet Le projet utilisera des réseaux de similarité (ou graphe de similarité) où chaque nœud représente une séquence génétique. Les nœuds de ces réseaux sont connectés par des arêtes si leurs séquences montrent une similarité significative. Ce type de structures en réseau doit permettre une analyse plus souple et complète des données génomiques et métagénomiques, surpassant les limitations des méthodes actuelles basées sur les arbres et réseaux phylogénétiques. L’objectif principal de notre projet est de développer des méthodes informatiques et mathématiques pour analyser de grands jeux de données biologiques et bioinformatiques via des réseaux de similarité. Le candidat doit posséder un diplôme de maîtrise en Bioinformatique, en Informatique ou en Mathématiques avec une bonne moyenne générale. Rémunération: bourse non imposable de 29 000 CAD par année.

11 days ago

PhD

Université de Sherbrooke, 

Sherbrooke

, Quebec

, Canada

Project Background. We are seeking a motivated PhD student to join our research team in developing advanced methods for phylogenetic network analysis, with a specific focus on network consensus algorithms. Significant progress has been made in consensus tree methodologies. A consensus tree is a phylogenetic tree that synthesizes multiple phylogenetic trees, each with the same leaf labels but possibly differing topologies. These trees are often generated through bootstrapping or other sampling techniques. Traditional approaches to consensus tree construction focus primarily on topological aspects, often overlooking the importance of branch length, which captures the temporal progression of genetic mutations. However, in the context of consensus networks, very few studies have introduced relevant concepts. Project Objective. Our project addresses this limitation by integrating branch-length data not only into the construction of consensus trees but also into network consensus construction. This more comprehensive approach aims to provide a richer and more accurate representation of evolutionary relationships by combining topological structure, branch frequency, clade frequency, and branch length. The candidate must hold a Master’s degree in Mathematics, Computer Science, or Bioinformatics with a strong overall GPA. Compensation: non-taxable scholarship of +20,000 CAD per year. To apply, please send your CV, list of peer-reviewed articles (optional), and a cover letter to: Prof. Nadia Tahiri

14 days ago

Postdoctoral

CHUM Microbiome Centre / University of Montreal, 

Montreal

, Quebec

, Canada

The laboratory of Dr. Arielle Elkrief, co-Director of the CHUM Microbiome Centre is searching for a talented and self-driven Computational Biologist or Bioinformatician to join our computational team as a post-doctoral fellow. The candidate will focus on establishing computational infrastructure for analysing complex and multimodal microbiome data. The candidate will be working closely with other computational biologists, basic scientists, students, and researchers including members of the Dr. Bertrand Routy laboratory, co-Director of the CHUM Microbiome Centre. The Elkrief lab will provide both computational support with a senior computational biologist on-staff. The candidate will be responsible for designing a data architecture to leverage and integrate in house microbiome-oncology datasets, processing, visualizing and interpreting data for multiple projects. The lab focuses on developing novel microbiome-based therapies for people with lung cancer and melanoma treated with immunotherapy. This includes investigating the role of fecal microbial transplantation, probiotics, prebiotics, and diet in prospective clinical patient trials, with a focus on integrating multi-omic translational correlative approaches using biospecimens from patients enrolled on these trials. The specific role of the candidate will be to perform primary computational biology analyses on samples from multiple clinical trials with high potential for impact.

20 days ago

Staff

McGill University, 

Montreal

, Quebec

, Canada

The Business Development (BD) Officer will create and maintain strategic relationships with the life science research community to build business and technological innovation opportunities for the Canadian Centre for Computational Genomics (C3G) at McGill University. The candidate will develop a strong understanding of our genomics analysis, software, and cloud computing infrastructure capabilities to promote the corresponding service offer at a provincial, national and international level. The BD Officer will spearhead business relations planning and initiatives, including outreach communications, campaigns, follow-ups, event promotion, and engagement. In collaboration with C3G Managers, the incumbent will oversee the strategic alignment and timely execution of all BD activities.

20 days ago

Staff

IRCM, 

Montreal

, Quebec

, Canada

The Neural Circuit Development Research Unit headed by Dr. Artur Kania is seeking candidates to fill in the position of Bioinformatician. It is a temporary full time position (2 years), that may be extended for a longer period of time.  

27 days ago

Postdoctoral

Montreal Neurological Institute, McGill University, 

Montreal

, Quebec

, Canada

From two to three years of secured funded for working on computational modeling, multi-omics molecular and multi-modal neuroimaging analysis in neurodegeneration (multiple diseases, including AD, PD, and others). Collaborations with many prestigious institutions (e.g. Rush University, Alberta University). Competitive salaries and conditions. Example of work: https://www.nature.com/articles/s41467-023-41677-w https://www.science.org/doi/10.1126/sciadv.abo6764 ​Contact: iturria.medina@gmail.com. Include CV.

29 days ago

Graduate Position

Université de Montréal, 

Montreal

, Quebec

, Canada

 Le Département de biochimie et médecine moléculaire de l’Université de Montréal, en collaboration avec le Hub Canadien de Bio-informatique, cherche à recruter un(e) agent(e) de coordination en bio-informatique dynamique et motivé(e). Rejoignez une équipe reconnue pour son excellence dans la formation en bio-informatique, et contribuez à son expansion en prenant part à la coordination régionale des initiatives de formation. Travailler dans notre unité, c’est participer à des projets innovants pour façonner l’avenir de la bio-informatique dans la province, en bénéficiant d’un environnement stimulant et d’une culture fortement axée sur l’innovation. Les raisons pour lesquelles cet emploi est fait pour vous Vous avez une passion pour la formation scientifique de pointe. Vous maîtrisez la gestion des opérations administratives nécessaires à la coordination et au déploiement des activités de formation à travers le Québec. Votre aimez travailler en équipe et tisser des liens avec des experts reconnus dans le domaine de la bio-informatique et de la biologie computationnelle. Vous êtes déterminé à mettre vos compétences au service de l’expansion de notre capacité de formation et à stimuler l’engagement communautaire à travers le Québec.