Bioinformatics Scientist​/Engineer

Description:

What if the work you did every day could impact the lives of people you know? Or all of humanity? At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients.

Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible.

Location:

UK or Germany preferred

Job Type: Full-time

Experience Level: Senior

Are you passionate about developing innovative bioinformatics solutions that advance precision medicine? Do you enjoy solving complex scientific challenges through algorithm development, statistical modelling, and software engineering? Do you want to work alongside world-class scientists and engineers on technologies that have a meaningful impact on human health? If so, you could be the perfect fit for our Bioinformatics Scientist / Engineer role within the DRAGEN Array team.

The DRAGEN Array team at Illumina is seeking a bioinformatics professional to drive innovation across algorithm development, statistical modelling, and production-quality software engineering for genotyping and genetics products. This role supports the development of new solutions that advance translational research and precision medicine, delivering scalable computational workflows and analytical capabilities for array and next-generation sequencing (NGS) applications. Working closely with wet-lab scientists, bioinformaticians, product teams, and software engineers, you will develop and implement robust bioinformatics solutions, integrating established community tools alongside novel methods.

You will also contribute to software engineering best practices, including testing automation, CI/CD, observability, and software lifecycle management, helping to ensure DRAGEN Array software is reliable, scalable, and ready for production deployment across local and cloud-based environments.

• Lead the design and development of algorithms and probabilistic models for analysis of array and NGS data supporting genotyping and genetics applications.
• Apply statistical, computational, and machine‑learning methods to large‑scale genetic and epigenetic datasets (e.g., genotyping, sequencing, copy number, methylation).
• Design and develop production‑grade software that automates analytical workflows and enables robust analysis at scale.
• Contribute to and help shape software testing automation, including unit, integration, and regression testing of bioinformatics pipelines.
• Define and maintain CI/CD workflows to support continuous integration, validation, and reliable delivery of DRAGEN Array software.
• Implement and evolve telemetry, logging, and monitoring to improve observability, diagnostics, and operational robustness.
• Execute and improve Software Lifecycle (SLC) practices, including requirements traceability, design documentation, verification, and validation.
• Use tools such as JAMA (requirements and traceability) and JIRA (planning and execution) to support structured, high‑quality software development.
• Collaborate closely with wet‑lab scientists, product management, and engineering teams to translate scientific needs into validated computational solutions.
• For staff level, provide mentorship and technical guidance to other scientists and engineers, and contribute to best practices in algorithm design, software engineering, and data analysis.

You will bring deep expertise in bioinformatics algorithm development, statistical modelling, and computational genomics, with experience developing production-quality software within scientific or commercial environments. You thrive working across multidisciplinary teams and are passionate about translating complex genomic data into impactful solutions that…