Principal Bioinformatics Scientist I
About The Position
At Roche, we foster a culture where you can be yourself and are embraced for your unique qualities. 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. A healthier future is what drives us to innovate and continuously advance science, ensuring everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche. This role is a vital part of our Bioinformatics team, 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.
Requirements
- Bachelor’s degree with 9+ years of related experience; OR 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.
- Demonstrated track record supporting or working within a CAP/CLIA-certified laboratory environment with direct experience in diagnostic test development and analytical validation.
- 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.
Responsibilities
- 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.
Benefits
- Relocation benefits are not being offered for this position
- A discretionary annual bonus may be available based on individual and Company performance.
- This position also qualifies for the benefits detailed at the link provided below.
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Education Level
Ph.D. or professional degree
