Job Listings

The Canadian Centre for Computational Genomics (C3G) is hiring Summer Interns! A little bit about us: C3G, a core research facility at McGill University, is a bioinformatics and computational genomics platform that provides case-by-case consulting services for the analysis and organization of large genomic datasets, as well as developing software solutions for the research community. Internship Details:  Duration: May 1 to August 31, 2026. Hours: ~33.75 hours/week Compensation: fixed hourly rate starting at $18.50 Location: Downtown Montreal at one of C3G’s McGill Campus locations. Application deadlines: Monday, March 6, 2026, 12 PM (noon) EST. for TD, OM, DT and CL projects  Monday, March 20, 2026, 12 PM (noon) EST. for the H1 and H2 projects

The Yang Zhang Lab at the National University of Singapore (NUS) is recruiting two postdoctoral fellows in artificial intelligence and computational biology. The lab is jointly based in the School of Computing, the Yong Loo Lin School of Medicine, and the Cancer Science Institute of Singapore, working at the interface of computer science, structural biology, and biomedical research. The positions focus on developing next-generation AI methods for biomolecular modeling and AI-driven drug discovery, including protein/RNA folding, structure prediction, and sequence design. The research is method-driven, emphasizing original algorithm/model development (foundation-model architectures integrating sequence, structure, and physical information) rather than applying existing pipelines to standard benchmarks. Fellows will work in a computationally intensive environment with access to large-scale HPC (hybrid NVIDIA GPU/CPU clusters) and are expected to lead projects from conception through large-scale training and rigorous evaluation.

The Canadian Center for Computational Genomics (C3G) at McGill University offers a stimulating and rewarding working environment, where projects bring concrete contributions to the advancement of research in fields such as human health and the environment. Our team is composed of people who are passionate about what they are doing. We work with data from cutting-edge sequencing technologies using high-performance computing equipment. Learn more about why McGill is an exciting place to work: https://www.mcgill.ca/careers/why-mcgill Under the direction of the Bioinformatics Manager, the Bioinformatics Analyst will be a member of the services team at Canadian Centre for Computational Genomics (C3G), an official core facility hosted at the McGill Genome Centre (MGC). The chosen candidate will perform advanced bioinformatics analyses that enable the interpretation of data generated by various biological assays, in addition to supporting the development of analysis pipelines at the platform. Working closely with other members of the McGill Genome Centre, the chosen candidate will be exposed to a wide variety of novel and exciting sequencing technologies, bioinformatics approaches and state-of-the-art computing resources in a facility dedicated to high-throughput sequencing and large-scale genomic studies.

The Canadian Center for Computational Genomics (C3G) at McGill University offers a stimulating and rewarding working environment, where projects bring concrete contributions to the advancement of research in fields such as human health and the environment. Our team is composed of people who are passionate about what they are doing. We work with data from cutting-edge sequencing technologies using high-performance computing equipment. Learn more about why McGill is an exciting place to work: https://www.mcgill.ca/careers/why-mcgill Under the supervision of the Bioinformatics Manager, the Bioinformatics Specialist will design and implement advanced data processing workflows and apply statistical and visualization techniques to support the interpretation of biological data for users of the C3G core facility. In addition to providing analytical support, the specialist will contribute to the development of new software tools and training initiatives offered by the facility. This role involves close collaboration with core facility users, junior staff, trainees and other scientists at the McGill Genome Centre. Overall, the specialist will be exposed to a diverse range of cutting-edge molecular assays, innovative bioinformatics methods, and high-performance computing resources within a facility dedicated to high-throughput sequencing and large-scale genomic research.

Advancing Genomics Technologies for Health and Life Sciences The Michael Smith Genome Sciences Centre (GSC), a provincial program within the Provincial Health Services Authority (PHSA), is a recognized international leader in genomics, bioinformatics, and genome technology innovation. By developing and deploying cutting-edge sequencing and computational platforms, the GSC supports breakthrough research across cancer, rare and infectious diseases, and the broader life sciences. Our work enables earlier diagnosis, novel therapeutic approaches, and transformative applications of genomics to improve human health and environmental resilience—delivering both social and economic impact through science. Job Reference No. CB_P01066_HSA194506_SoftDev_2026_01_30 Job Summary In accordance with the Purpose, Vision, Values and Coast Salish Teachings, and strategic direction of PHSA, safety, including both patient and employee safety, is a priority and a responsibility shared by everyone at PHSA. As such, the requirement to continuously improve quality and safety is inherent in all aspects of this position. The Computational Biologist participates in developing, improving and maintaining bioinformatics tools for high-throughput processing pipelines. The Computational Biologist specifies, implements, tests and maintains bioinformatics computer applications and systems, and participates in the code walk-throughs and design and review of bioinformatics software solutions. The Computational Biologist will also assist in the packaging and distribution of developed tools and analysis results to the scientific community, and will contribute to the preparation of scientific publications.

Job Reference No. CB_P01060_HSA194507_CCG_2026_01_30 Job Summary In accordance with the Purpose, Vision, Values and Coast Salish Teachings, and strategic direction of PHSA, safety, including both patient and employee safety, is a priority and a responsibility shared by everyone at PHSA. As such, the requirement to continuously improve quality and safety is inherent in all aspects of this position. The Computational Biologist performs bioinformatics analyses and contributes to software development related to the operation of a large-scale clinical sequencing facility. Benefits: Every PHSA employee enables the best possible patient care for our patients and their families. Whether you are providing direct care, conducting research, or making it possible for others to do their work, you impact the lives of British Columbians today and in the future. That’s why we’re focused on your care too – offering health, wellness, development programs to support you – at work and at home. Join one of BC’s largest employers with province-wide programs, services and operations – offering vast opportunities for growth, development, and recognition programs that honour the commitment and contribution of all employees. Access to professional development opportunities through our in-house training programs, including +2,000 courses, such as our San’yas Indigenous Cultural Safety Training course, or Core Linx for Leadership roles. Enjoy a comprehensive benefits package, which includes statutory benefits – Canada Pension Plan, Employment Insurance and WorkSafe BC plus the PHSA group benefits plan which includes medical & dental extended health, and group life insurance coverage, and psychological health & safety programs and holistic wellness resources. Annual statutory holidays (13) with generous vacation entitlement and accruement. PHSA is a remote work friendly employer, welcoming flexible work options to support our people (eligibility may vary, depending on position). Access to WorkPerks, a premium discount program offering a wide range of local and national discounts on electronics, entertainment, dining, travel, wellness, apparel, and more. Job Type:  Temporary Full-Time, 7.5 hrs. per day Hybrid Salary Range: Grid 9 – $37.89/hour for the 1st year – $47.20/ hour for the 6th year The starting salary for this position would be determined with consideration of the successful candidate’s relevant education and experience, and would be in alignment with the provincial compensation reference plan and grant fund availability. Higher salary offers above the midpoint range require additional review and approval.

A 2-year (renewable) full-time postdoctoral fellowship is available in the laboratory of Prof. Alain Dabdoub. The position focuses on decoding the molecular landscape of the human inner ear during development and regeneration and translating these findings to advance therapeutic strategies. Our research investigates mechanisms that regulate auditory and vestibular homeostasis, the regeneration of sensory hair cells, stria vascularis, and auditory neurons as well as the implications for therapies and understanding disorders associated with aging, hearing loss, and balance dysfunction. Our projects combine state of-the-art computational tools and cutting-edge biological experiments.

Background The Personalized Approaches in the Treatment of Head and Neck Cancer (PATH) study aims to use longitudinal plasma cell‑free DNA sequencing to develop a minimally invasive method for detecting minimal residual disease (MRD) and recurrence in head and neck squamous cell carcinoma (HNSCC). Approximately 35 % of patients with HNSCC recur and die despite aggressive treatment. There are currently no validated biomarkers to monitor treatment response or detect residual disease. The proposed pilot will collect serial blood draws from 30–50 patients per year and perform whole‑genome sequencing (WGS) on Illumina and Oxford Nanopore Technology (ONT) platforms. It will integrate genomic, epigenomic and fragmentomic features (SNVs, copy‑number variants, methylation marks, fragment size, end‑motifs, nucleosomal positioning, viral integration) to sensitively detect low tumour fractions. The project’s third aim is to explore bioinformatics tools to develop a genome‑wide multimodal MRD analysis pipeline, analyze baseline plasma samples, and retrospectively analyze longitudinal samples to detect tumour burden. This position will be central to achieving those aims. High‑level Summary of the Role The post‑doctoral fellow will lead the development of an integrated analysis pipeline for detecting minimal residual disease in head and neck cancer patients by analyzing longitudinal plasma ctDNA. Using whole‑genome sequencing from both Illumina and Oxford Nanopore platforms, the fellow will combine genomic mutations, copy‑number alterations, methylation signatures, fragmentomics and viral integration data to sensitively track tumour burden over time. They will adapt and create bioinformatics methods, apply tumour‑informed analyses using matched tumour and normal WGS, and analyze baseline and follow‑up blood samples to identify early ctDNA signals before clinical standard of care recurrence. The fellow will collaborate within the GSC and PATH project to produce reports and manuscripts, and help scale the pipeline for future studies to impact cancer patient care.

The Pouget Lab is seeking a Postdoctoral Fellow in computational genomics and data science to study how genetic variation shapes neurodevelopment and vulnerability to psychosis. Our lab integrates large-scale human genomic data with multimodal, single-cell resolution molecular profiling of brain and peripheral immune cells to (1) discover molecular mechanisms of psychiatric disorders, (2) refine biologically grounded disease subtypes and therapeutic targets, and (3) develop scalable biomarkers for precision psychiatry. Ongoing projects include: Predictive modelling of psychosis symptom trajectories in large youth cohorts Integrative analysis of multimodal sequencing data, including paired single-nucleus RNA-seq + ATAC-seq from postmortem human brain and peripheral blood samples Whole genome sequencing in clinical populations to inform genetic testing guidelines TRAINING ENVIRONMENT As a post-doc in the Pouget Lab, you will work within a highly collaborative, multidisciplinary research program with direct clinical translation to youth mental health. Our lab offers a collaborative, people-first, mentorship-focused environment committed to rigor, reproducibility, Equity, Diversity, and Inclusion, and sustainable research careers. We are based at the Centre for Addiction and Mental Health (CAMH), Canada’s largest mental health teaching hospital and one of the world’s leading research centres in its field.  As Canada’s leading mental illness research facility, CAMH’s Campbell Family Mental Health Research Institute (CFMHRI) is home to scientists, staff and research trainees conducting leading research to improve the understanding of the brain and the causes, the biomarkers and cures for mental illness as well as research to advance the prevention and treatment for mental illness and addictions across the lifespan. CAMH is a fully affiliated teaching hospital and research institute of the University of Toronto.

The Morrissy Lab is seeking a highly motivated scientist with expertise in bioinformatics and data science to join our team as a Postdoctoral Associate focused on understanding immunotherapy responses in solid tumors. The candidate will use state-of-the-art analytic approaches to investigate multi-omics data and derive an in-depth understanding of tumor ecosystem dynamics in clinical samples from immunotherapy trials – including phenotypic and functional cell heterogeneity, tumor and microenvironment cell niches, and cellular crosstalk. This research is primarily focused on cohorts of single-patient and phase I clinical trial participants treated with CAR T-cells (see Zemp el, 2024, in revision at Nature; preprint on medRxiv), and identifying mechanisms of immunotherapy response and resistance from longitudinally-collected blood and tumor tissue samples. The candidate will employ innovative bioinformatics and machine learning approaches to integrate single cell and spatial datasets from clinical samples with data from ongoing preclinical studies, further incorporating genomics and proteomics profiles from in-house or public repositories.