Jobs

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.

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.

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/.

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.