Job Description

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.
The Position
A healthier future. It's what drives us to innovate. To continuously advance science and ensure 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
We are seeking a talented and highly motivated Bioinformatics Software Engineer with extensive experience in building, optimizing, and maintaining large-scale sequencing data pipelines. You will join a dynamic team supporting scientists and clinicians with robust, scalable, and reproducible workflows for DNA and RNA sequencing data analysis, leveraging best-in-class workflow management, containerization, and HPC/cloud computing technologies.
The Opportunity:
You will design, implement, and productionize a suite of automated pipelines for high-throughput sequencing data, enabling the rapid and reliable delivery of insight from raw data to actionable biological results.
You will evaluate, refine, and maintain dataflow architectures and ensure their seamless operation across a variety of computational environments.
You are an expert in modern workflow orchestration (such as Apache Airflow and Nextflow), containerization (Docker), and the optimized use of HPCs and cloud resources.
You will collaborate with interdisciplinary teams of software engineers, bioinformaticians, and data scientists to deliver robust pipelines and tools that empower scientific discovery and support critical business objectives.
Who you are:?
Master's degree in Computer Science, Bioinformatics, Data Engineering, or related fields with 5+ years of relevant experience in clinical, academic, or industry settings.
Expert knowledge and experience with modern workflow orchestration tools (e.g., Apache Airflow, Nextflow) for deploying and maintaining pipelines in HPC and cloud environments.
Proficient in Docker or similar containerization technologies for creating reproducible and portable workflows.
Strong experience with HPC job schedulers (LSF, SLURM, SGE) and optimizing data pipelines for scalability, resource utilization, and throughput.
Skilled in Python for tool development and C/C++ for performance-critical components; familiarity with genomic data pipelines and file formats (e.g., FASTQ, BAM, VCF) is a plus.
Experienced in the full software development lifecycle, adhering to best practices like version control, CI/CD, and code reviews.
Adept at breaking down technical problems into modular solutions and working collaboratively in fast-paced, multi-project environments, with excellent communication and documentation skills.
Relocation benefits are not available for this posting.
Who we are
A healthier future drives us to innovate. Together, more than 100'000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.
Let's build a healthier future, together.
Roche is an Equal Opportunity Employer.

Skills Required