Jobs

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.

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.

EpiSign Inc. is seeking a motivated Bioinformatician to support the development of DNA methylation data processing tools. Over the course of a 12-month project (with potential to extend), this individual will contribute to advancing EpiSign’s machine learning–based diagnostic platform by evaluating, validating, and optimizing methods for data processing and classifier training using multi-platform methylation datasets (microarray, PacBio, ONT, Illumina 5-base).

This position offers a unique opportunity to gain hands-on experience at the intersection of bioinformatics, neuroanalytics, and precision medicine, while working closely with leading researchers from the London Health Sciences Centre Research Institute.

Location

This position is available for hybrid work in Montreal or remote working in Canada only. Relocation and immigration support is available for candidates interested in living and working in Canada.

About 5 Prime

5 Prime Sciences uses insights from human genetics to accelerate drug development. For the past 4 years, 5 Prime has helped large pharmaceutical companies, biotech and venture capital companies accelerate and de-risk their drug development pipeline. This effort has enabled our partners to move from target to Phase 2 in two years in some instances, achieving our mission of helping to deliver medicines to patients in need.

Role Overview

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 inthis 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.