Job Listings

Discover causes and cures for disease through research in the Carpenter–Shen laboratory!   Want to devote your expertise in data science to accelerate the pace at which new medicines are found? Our lab develops and applies methods to extract quantitative information from high-throughput biological images.    We seek a postdoctoral researcher to join our efforts to glean insights from large collections of images. There is much more information present in microscopy images than is commonly perceived by eye. We harvest this information, developing novel methods to characterize cellular populations at single-cell resolution. This work has the potential to transform how both the targets and therapies for disease are identified.      

Overview and duties: The Lee Laboratory in the Department of Molecular Biology and Biochemistry at Simon Fraser University (SFU) is seeking a Bioinformatics Data Analyst with experience in high-throughput sequencing data analysis (https://sfu-lee-lab.github.io/Lee_Lab_Webpage/). The primary responsibility of the successful candidate will be to process and analyze next-generation sequencing data, particularly in microbial genomics, host transcriptomics, and integrative multi-omics analyses. The candidate will also support data analysis for trainees in the group and prepare technical documentation for grant reports and other reporting needs. The candidate will join an interdisciplinary team of approximately 10 people, working closely with molecular biologists and computational scientists. The primary work location is SFU’s Burnaby campus in Greater Vancouver. The campus sits within the Burnaby Mountain Conservation Area, about 15 km from the City of Vancouver.

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_HSA205270_SoftDev_2026_10_06 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.

The Migicovsky Lab at Acadia University is seeking a MSc student interested in applying computational approaches to perennial fruit crop research. The research project will be finalized based on discussion with the successful candidate and ongoing work in the lab, but is likely to include bioinformatics and/or phenomics. A research stipend is available. The anticipated start is Fall 2027.

We are seeking a motivated Software Developer to join our team as a Data Coordinator and Administrator for a data sharing platform (CanDIG) with the Atlantic Cancer Consortium (ACC) as a part of the Terry Fox Research Institute’s Marathon of Hope Cancer Centers Network. In this role, you will manage and support our CanDIG clinical/genomic data platform while also contributing to broader software development efforts across cancer genomics analysis pipelines and reporting workflows. You will also be responsible for coordinating transfers of large genomic sequencing files between the sequencing centre(s) and our High-Performance Computing platform as well as validating data integrity after the transfer. This is a hands-on position for someone comfortable working across databases, scripting, and Linux/HPC environments, who enjoys building reliable tools that handle the messiness of real-world biomedical data.

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.