Principal Bioinformatics Scientist

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come.

Join Roche, where every voice matters.

This role is a vital part of our Bioinformatics team, which is committed to advancing precision medicine by building cutting-edge computational tools for clinical diagnostics. As a member of this team, you will sit at the dynamic intersection of computational biology, assay development, and software engineering to translate complex genomic data into actionable health insights. You will have the opportunity to collaborate closely with cross-functional partners across Wet-Lab Assay Development, Software Engineering, CLIA Operations, and Quality to design, validate, and operationalize next-generation diagnostic tests.

As a Bioinformatics Scientist, you will lead the design, optimization, and clinical validation of innovative NGS data processing pipelines and algorithms. You will serve as the technical bridge between wet-lab innovation and production-grade software engineering, leveraging advanced statistical modeling and modern AI coding tools to deliver high-accuracy molecular diagnostics for patient care.

Design, benchmark, and optimize scalable, reproducible NGS bioinformatics pipelines using Nextflow, Docker/Singularity, and cloud environments.

Partner with Assay Development and CLIA lab teams to establish statistical analysis plans and validate novel diagnostic assays (ensuring high sensitivity, specificity, and precision).

Routinely integrate AI coding tools and automated workflows to accelerate algorithm development, refactoring, and data analysis.

Draft clear functional and technical specifications to guide software engineering teams in transitioning research prototypes into robust clinical software.

Implement sample- and run-level statistical QC metrics while maintaining thorough QMS-compliant documentation for CAP/CLIA audits.

Enforce high-standard software engineering practices, including Git version control, continuous integration, unit testing, and modular architecture.

Master’s degree with 7+ years of related experience; OR Ph.D. with 4+ years of related experience (work experience can be prior or post-grad; relevant post-grad academic lab training will be considered).

Proven ability to partner seamlessly across multidisciplinary teams—including wet-lab scientists, software engineers, lab directors, and Quality assurance—to align technical specs with clinical goals.

Deep understanding of high-throughput sequencing data analysis across various modalities (targeted panels, WGS/WES, transcriptomics, or liquid biopsy/ctDNA).

Proficient in Python/R/C++ and Linux/Bash alongside hands-on experience using workflow managers (Nextflow) and containerized software deployments.

Proven ability to leverage AI development tools to maximize productivity, alongside excellent communication skills suited for navigating complex, cross-functional organizational environments.

Relocation benefits are not available for this position.

The expected salary range for this position based on the primary location of Mississauga is …