Job Listings

We are seeking a Genetic Epidemiologist or Statistical Geneticist to join our multidisciplinary team advancing genetics-first drug discovery. You will conduct large-scale genetic analyses, including GWAS, MR, and multi-omic QTL studies, using individual- and summary-level data. Your role will involve building reproducible analytical workflows in Python, applying core statistical methods, and employing best practices in version control, containerisation, and data provenance. Success in this role requires strong analytical skills, experience with population-scale genomics datasets and bioinformatics tools, and the ability to manage multiple scientific projects. You will work closely with colleagues across disciplines and contribute to clear, insightful client communications.

We’re looking for a contract Bioinformatics Scientist to support cutting-edge computational work at the intersection of CRISPR gene editing and genomic safety assessment. You’ll be embedded with an R&D team building and maintaining the analytical infrastructure that powers off-target profiling assays — work that directly shapes how gene editing therapies are evaluated for safety. This is a hands-on pipeline engineering role. You’ll spend most of your time designing, building, and validating NGS analysis workflows, collaborating across science and engineering teams, and turning complex genomic outputs into interpretable insights.

POSTDOCTORAL FELLOWSHIP POSTING — CHUM RESEARCH CENTRE Liquid biopsies are ushering in a new era in cancer diagnostics, making it possible to detect tumors from a simple blood draw. In this context, our laboratory is developing a next-generation molecular technology to improve the sensitivity and specificity of circulating tumor DNA (ctDNA) detection. This project offers a unique opportunity to contribute to a tangible biomedical advance at the intersection of technological innovation and precision medicine. This research program is fully funded and aims to change clinical practice in oncology.   The postdoctoral fellow will lead the development and validation of a novel experimental method with high clinical potential for liquid biopsies. The research program is fully funded and targets direct clinical impact. The goal is to create a robust, reproducible, and sensitive technology capable of identifying cancer-associated genetic alterations — with the ambition of transforming patient care. Candidate Profile We are seeking an outstanding postdoctoral researcher driven by the ambition to transform clinical practice in oncology. Ideal profile: PhD. in molecular biology, genomics, biomedical engineering, or a related field; Strong publication record demonstrating the ability to lead high-caliber research projects; Experience in bioinformatics and sequencing data analysis (a major asset); Autonomy, experimental rigor, critical thinking, and the ability to work in a multidisciplinary team. About the Laboratory Professor Alexandre Pellan Cheng is an Associate Professor at ÉTS, a researcher at the CHUM Research Centre, and a member of the Open Innovation Laboratory (LIO). He obtained his Ph.D. in biomedical engineering from Cornell University and completed his postdoctoral training at the New York Genome Center. The laboratory works in close collaboration with Dr. Antoine Desilets, a clinician-scientist at the CRCHUM with expertise in molecular oncology. A former Fellow at Memorial Sloan Kettering Cancer Center (MSKCC), Dr. Desilets leads a program of investigator-initiated trials (IITs), providing a true bench-to-bedside pathway for all projects in the group. Details and Work Environment Compensation: Competitive postdoctoral salary (commensurate with experience) Location: CHUM Research Centre (CRCHUM), Montréal Affiliation: Postdoctoral fellowship, École de technologie supérieure (ÉTS) / CHUM Research Centre Contact alexandre.pellan-cheng@etsmtl.ca https://pellanchenglab.github.io/     ANNONCE DE STAGE POSTDOCTORAL AU CENTRE DE RECHERCHE DU CHUM Les biopsies liquides ouvrent une nouvelle ère dans le diagnostic du cancer, en rendant possible la détection de tumeurs à partir d’un simple prélèvement sanguin. Dans ce contexte, notre laboratoire développe une technologie moléculaire de nouvelle génération pour améliorer la sensibilité et la spécificité de la détection de l’ADN tumoral circulant (ctDNA). Ce projet offre l’opportunité unique de contribuer à une avancée biomédicale concrète, au croisement de l’innovation technologique et de la médecine de précision. Ce programme de recherche est entièrement financé et s’inscrit dans une démarche visant à changer la pratique clinique en oncologie. Le/la stagiaire postdoctoral.e dirigera le développement et la validation d’une nouvelle méthode expérimentale à fort potentiel clinique pour les biopsies liquides. Le programme de recherche est entièrement financé et vise un impact clinique direct. L’objectif est de créer une technologie robuste, reproductible et sensible, capable d’identifier des altérations génétiques associées au cancer — avec l’ambition de transformer la prise en charge clinique des patients. Profil recherché Nous recherchons un.e chercheur.e postdoctoral.e d’excellence, animé.e par l’ambition de transformer la pratique clinique en oncologie. Profil recherché : Doctorat (Ph.D.) en biologie moléculaire, génomique, génie biomédical ou domaine connexe ; Dossier de publications solide démontrant une capacité à mener des projets de recherche de haut calibre ; Expérience en bioinformatique et analyse de données de séquençage (un atout majeur) ; Autonomie, rigueur expérimentale, esprit critique et capacité à travailler en équipe multidisciplinaire. À propos du laboratoire Le professeur Alexandre Pellan Cheng est professeur agrégé à l’ÉTS, chercheur au Centre de recherche du CHUM, et membre du Laboratoire d’innovation ouverte (le LIO). Il a obtenu son doctorat en génie biomédical de Cornell University et a effectué ses recherches postdoctorales au New York Genome Center. Le laboratoire travaille en étroite collaboration avec le Dr Antoine Desilets, clinicien-chercheur au CRCHUM spécialisé en oncologie moléculaire. Ancien Fellow au Memorial Sloan Kettering Cancer Center (MSKCC), le Dr Desilets dirige un programme d’essais cliniques initiés par l’investigateur (IITs), offrant ainsi un véritable continuum du laboratoire au chevet du patient pour l’ensemble des projets du groupe. Détails et environnement de travail Rémunération : Salaire postdoctoral compétitif (selon l’expérience) Lieu : Centre de recherche du CHUM (CRCHUM), Montréal Affiliation : Stage postdoctoral, École de technologie supérieure (ÉTS) / Centre de recherche du CHUM Contact alexandre.pellan-cheng@etsmtl.ca https://www.desiletschenglabs.com/

We are seeking an outstanding and highly motivated PhD student in Computational Biology or Bioinformatics to join the Translational and Integrative Pathobiology Lab (LCTIP‑Lab) in Québec City. This position offers a unique opportunity to work at the forefront of spatial omics, tumor microenvironment (TME) biology, and multimodal data integration, under the co‑supervision of Dr Philippe Joubert and Dr Fabien Lamaze. The PhD project focuses on Diffuse Idiopathic Pulmonary Neuroendocrine Cell Hyperplasia (DIPNECH)—a rare and poorly understood precursor lesion that can progress to pulmonary carcinoid tumors. This understudied disease context provides a rare opportunity to make first‑in‑field discoveries with strong translational relevance. By leveraging spatial transcriptomics, deep genomic profiling, and TME‑focused analyses, the successful candidate will investigate clonal evolution and molecular mechanisms driving disease progression at high spatial resolution. The project is designed to generate impactful insights into lung cancer biology while providing rigorous training in advanced computational and analytical methods. Research Environment & Resources The successful candidate will work with state‑of‑the‑art spatial and single‑cell platforms, including: Visium HD Xenium PhenoCycler‑Fusion CyTOF These technologies are rarely available together within a single PhD project. The lab provides access to deeply annotated clinical, histological, and genomic datasets, and fosters a highly collaborative environment bridging pathology, genomics, computational biology, and machine learning. Strong mentorship is provided in: Computational and statistical methods Cancer and TME biology Scientific writing, presentations, and academic career development

About the Job Ready to push the limits of what’s possible? Join Sanofi in one of our corporate functions and you can play a vital part in the performance of our entire business while helping to make an impact on millions around the world.   We are an innovative global healthcare company, driven by one purpose: we chase the miracles of science to improve people’s lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions.   As one of Canada’s leading investors in life sciences, manufacturing and research and development, we focus on delivering new and better ways to address unmet medical needs. Our life-changing and lifesaving products are grounded in science that Canadians can trust.   Sanofi has embarked on a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of data adoption with artificial intelligence (AI) and machine learning (ML) tools. We strive to use AI and ML across the organization to accelerate functions like R&D, medical, manufacturing, and commercial performance. Our objective is to complement our business partners with AI to provide life-improving and lifesaving drugs and vaccines to patients faster and more effectively.

Job Summary The Edwin S. H. Leong Centre for Healthy Aging (ELCHA) is seeking a highly motivated and ambitious Data Analyst for the Canadian Microbiome Mapping Initiative (CMMI). The primary goal of the CMMI is to develop an integrated multi ‘omics platform to investigate the biological mechanisms and pathways by which the microbiome influences health and disease. This will include investigations into healthy aging as well as validation of the platform in clinical contexts, beginning with Parkinson’s disease. The successful candidate will serve as a data manager to liaise between the project’s different data generating and database development teams and facilitate the integration, analysis, and interpretation of datasets. Organizational Status The CMMI is a large, collaborative initiative involving investigators in the ELCHA, other UBC research centres, and external collaborators. The position works under the scientific and technical guidance of the CMMI Data Integration and Analysis Committee (Dr. Raymond Ng, Dr. Emilia Lim, and Dr. Keegan Korthauer), and reports to the CMMI Project Manager for day-to-day operations, prioritization, and project delivery. The position also works in close collaboration with CMMI investigators, bioinformaticians, laboratory personnel, and research staff. The position will provide technical supervision and mentorship to computational biology trainees, technicians, and graduate students, as appropriate.  

The Edwin S. H. Leong Centre for Healthy Aging (ELCHA) is seeking a highly motivated Postdoctoral Research Fellow for the Canadian Microbiome Mapping Initiative (CMMI).  This will be a 100% FTE (full-time) position for a one-year term with the possibility of renewal. Work will be performed on-site at the Edwin S. H. Leong Centre for Healthy Aging at the UBC Vancouver campus with the possibility of a hybrid work agreement. The salary range for this position is $65,000 – $75,000 per annum, plus benefits. The primary goal of the CMMI is to develop an integrated multi ‘omics platform to investigate the biological mechanisms and pathways by which the microbiome influences health and disease. This will include investigations into healthy aging as well as validation of the platform in clinical contexts, beginning with Parkinson’s disease. The successful candidate will serve as a data manager to liaise between the project’s different data generating and database development teams and facilitate the integration, analysis, and interpretation of datasets. This role is part of a broader vision to spearhead data integration and analysis of a growing multi-‘omic dataset designed to study healthy aging, Parkinson’s Disease, and other age-related conditions.

We are seeking a SWE / Data Engineer to contribute to the development and maintenance of our scientific data platform, built on Google Cloud Platform (GCP). This role involves maintaining and extending the existing platform, which includes bulk data management, analytical pipelines, and an internal web portal. A strong emphasis will be placed on quality, traceability, and testability. This role will involve close collaboration with scientific colleagues. See full posting at: https://5primesciences.com/careers/

We are seeking a Bioinformatician to join our multidisciplinary team advancing genetics-first drug discovery. In this role, you will focus on building, productionizing, and maintaining scalable analysis pipelines that enable large-scale statistical genetics and multi-omics studies. You will translate statistical genetics methods and algorithms into robust, reproducible workflows (primarily in Python and Nextflow or similar), run and optimize them on cloud and/or HPC environments, and ensure high standards for testing, version control, containerization, and data provenance. Success in this role requires strong software engineering fundamentals, comfort working with large datasets, and the ability to collaborate closely with geneticists, statisticians, and software developers to deliver reliable analyses and clear outputs for internal teams and external partners. See full posting here: https://5primesciences.com/careers/.

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.