Job Listings

Company Description: Roche Diagnostics is a global leader in healthcare diagnostics, committed to improving patient outcomes through innovative diagnostic solutions. With a focus on precision medicine and personalized healthcare, Roche Diagnostics develops and commercializes advanced diagnostic tests and technologies across various disease areas, including oncology, infectious diseases, and autoimmune disorders. Our mission is to empower healthcare professionals with accurate, timely, and actionable diagnostic insights to support informed clinical decision-making and improve patient care.   Job Description: We are seeking a talented and experienced AI expert in the field of bioinformatics and computational biology to join our dynamic team. In this role, the successful candidate will play a key role in the development and implementation of AI-driven approaches for the analysis, interpretation, and utilization of molecular data in diagnostic assays and platforms. Working closely with interdisciplinary teams of biologists, computer scientists, and domain experts, the AI expert will contribute to the advancement of Roche’s molecular diagnostic portfolio and drive innovation in precision diagnostics leveraging state-of-the-art methodologies and tools. A strong background in software development and data engineering will be a big advantage for this role. This could be a hydrid or remote position based on the location in Canada.

Laboratoire : Laboratoire de Bioinformatique et Protéomique (ADLab) – Pr. Arnaud Droit. Le laboratoire est spécialisé dans le développement de méthodes computationnelles avancées et d’approches d’intelligence artificielle et statistiques pour l’analyse de données massives. ADLab collabore avec des partenaires académiques et industriels à l’échelle internationale et dispose d’infrastructures de calcul de haut niveau. Institution : Faculté de Médecine, Université Laval, Québec, Canada Description du poste : Le laboratoire du Pr. Arnaud Droit (ADLab) recrute un(e) étudiant(e) en bioinformatique pour travailler sur l’analyse de données de protéomique issues de spectromètres de masse de dernière génération. Cette recherche s’effectuera dans le cadre de la lutte contre l’antibiorésistance, qui représente une menace majeure pour la santé publique. Cette problématique est la conséquence de la surutilisation des antibiotiques qui favorise l’émergence de bactéries résistantes, rendant de nombreuses infections difficiles à soigner. Il est ainsi crucial de développer de nouvelles approches pour détecter et contrer ces résistances. Le ou la candidat(e) contribuera ainsi au développement d’outils informatiques pour l’analyse et la validation de données protéomiques ainsi qu’à l’application de méthodes d’apprentissage automatique pour l’identification de biomarqueurs diagnostiques dans des fluides biologiques (détection de bactéries, résistance aux traitements, etc.).

The Health Data Science (HeDS) Platform at McGill University is seeking a Data Scientist to support research activities, data management, and training initiatives. The successful candidate will play a key role in the development of standard operating procedures (SOPs), research consultations, data management frameworks, and collaborative projects in genomics, health data science, and AI. This role also involves training and community-building initiatives, platform operations support, and engagement with McGill’s research community.

Spécialiste sciences biologiques physiques sanitaires – Laboratoire de génétique médicale ( Glen ) Organization description Le Centre universitaire de santé McGill (CUSM) est un centre hospitalier universitaire intégré, reconnu à l’échelle internationale pour l’excellence de ses programmes cliniques, de sa recherche et de son enseignement. Le CUSM a pour objectif d’assurer aux patients des soins fondés sur les connaissances les plus avancées dans le domaine de la santé et de contribuer au progrès des connaissances. Website of the organization cusm.ca Equal Opportunity Employment Program Le CUSM applique un programme d’accès à l’égalité en emploi et invite les femmes, les Autochtones, les minorités visibles, les minorités ethniques et les personnes handicapées à présenter leur candidature. Des mesures d’adaptation peuvent être offertes aux personnes handicapées qui en font la demande en fonction de leurs besoins.

RNA therapeutics are reshaping modern medicine—from mRNA vaccines to precision gene modulation. At the COBRA Lab, we advance computational methods that connect RNA structure to function and translate those insights into tangible health benefits. Joining our team means collaborating with researchers across disciplines, seeing your algorithms inform real-world therapies, and contributing to an inclusive scientific community committed to open, rigorous inquiry. Appointment Term: One year with possibility of renewal Salary: CAD $70,000 per year, plus full University of Alberta benefits Start date: Flexible (applications reviewed on a rolling basis) Work mode: On site in Edmonton Research Focus You will collaborate on projects that: Characterise RNA structure–function relationships Improve RNA efficiency through informed RNA design Predict the effects of genetic mutations on RNA behaviour All projects share the goal of accelerating RNA-based therapeutic development.

Postdoctoral Fellow (PDF) – Muskox and Bison Conservation Genomics Background: The Kyle laboratory, in close collaboration with partner institutions and agencies (e.g., Parks Canada) is working to understand the adaptive resiliency of large northern ungulates in context of rapid environmental change and acute selective pressures from disease.  Current study systems include muskox and American bison, of immense cultural significance and conservation concern. Archived and ongoing collections of specimens will be examined, comparing host genomic variation (specifically, the immunome) and microbiome variation relative to disease status, stress indicators and other phenotypic data (e.g., body condition metrics). We are recruiting several PDFs and graduate students to assist with this research. There will be some flexibility to adapt projects to candidate interests with opportunities for field and lab work, where candidates will be expected to work/liaise/consult with Indigenous rightsholders as well. Location: Successful candidates will join the Kyle lab group at Trent University in Peterborough, ON, and will have access to networking and training opportunities with collaborators at U. Montreal, U. Calgary, Parks Canada, among other partners and stakeholders. Compensation: No less than 60K CAD/year (negotiable based on experience). One year of funding is guaranteed with contract extensions based upon satisfactory progress. To Apply or Request more Information: Please send an email to Christopherkyle@trentu.ca) including: a brief statement outlining research interests, previous experience and training relating to this project, C.V., and contact information for two references. Applications will be reviewed as they are received. Start Date: Summer / Fall 2025, negotiable

The Ecosystems and Global Change Group (www.ecosystemchange.com) at Trent University jointly led by Prof Andrew Tanentzap (Canada Research Chair in Climate Change and Northern Ecosystems) and Dr Erik Emilson (Research Scientist, Canadian Forest Service sector of Natural Resources Canada, https://glfc-wet.github.io) is recruiting a Postdoctoral Fellow to start immediately.  The initial appointment will last for two years with a possibility for renewal.   The project:  Permafrost thaw risks releasing microbes into the natural environment that have been isolated from modern ecosystems for millennia with unknown consequences for people and wildlife.  We are searching for an experienced researcher to characterise microbial community composition and functioning in thawing North American permafrost, with a particular focus on environmental pathogens and the application of single-cell sequencing approaches.  Our research group also holds large sequencing datasets from freshwaters and soils that are often coupled with untargeted metabolomics data, offering substantial opportunities for focused data mining.

This fellowship (offering $35K-$50K annually) is offered to work on developing computational algorithms in cancer and epigenetics. Potential projects range from data analysis to deep-learning algorithms. Learn more about our research at: https://panchenko-lab.org/ Available PhD programs: Pathology PhD Program Computer Science PhD Program Biochemistry & Molecular Sciences PhD Program

Canada’s Michael Smith Genome Sciences Centre (GSC) Today’s Research. Tomorrow’s Medicine. The GSC is a department of the BC Cancer Research Institute and a high-throughput genome sequencing facility. We are leaders in genomics, proteomics and bioinformatics in pursuit of novel treatment strategies for cancers and other diseases. Among the world’s first genome centres to be established within a cancer clinic, for more than two decades our scientists and innovators have been designing and deploying cutting-edge technologies to benefit health and advance clinical research. Among the GSC’s most significant accomplishments are the first publication to demonstrate the use of whole-genome sequencing to inform cancer treatment planning, the first published sequence of the SARS coronavirus genome and major contributions to the first physical map of the human genome as part of the Human Genome Project. By joining the GSC you will become part of an exceptional and diverse team of scientists, clinicians, experts and professionals operating at the leading edge of clinical research. We look for people who share our core values—science, timeliness, respect—to join us on our mission to use genome science for the betterment of health and society. Summary Job Reference No. RA_R00006_Clinical_2025_01_10 Canada’s Michael Smith Genome Sciences Centre (GSC) of the BC Cancer Research Institute is a state-of-the-art, large-scale, high-throughput, clinically accredited genomics and bioinformatics facility located in one of the most vibrant and diverse cities in the world. As a Research Associate within the Centre for Clinical Genomics Informatics team at the GSC, you will play a pivotal role in advancing clinical bioinformatics capabilities by developing, validating, and optimizing workflows and pipelines to support cutting-edge genomic technologies. The Research Associate will report to the Team leader and is anchored within a team of exceptional computational scientists, programmers and clinical researchers, who collaborate directly on the development and maintenance of robust, cost efficient, and competitive clinical genomics pipelines. This is an opportunity to work with highly motivated colleagues in a science-oriented, creative and dynamic environment. We offer a competitive salary, excellent benefits and significant career development opportunities. This position is initially funded for two years.

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