Senior Bioinformatics Scientist

Overview

In this role, you advance human health by developing novel bioinformatics methods for complex genomic data within Illumina’s world-class team. You’ll contribute to the DRAGEN platform and Illumina Connected Analytics, translating scientific insights into robust production software. You will collaborate with software, FPGA, and clinical genomics groups to deliver end-to-end workflows and impactful solutions. This position offers hands-on innovation at scale with meaningful, real-world health impact.

Retribuzione / Benefits flexible time off

private medical insurance

pension

employee stock purchasing program

volunteer time off

summer shutdown

Responsabilità Design and prototype computational and statistical algorithms to extract signals from sequencing data

Develop and optimize high-performance production software using C/C++ and related tech

Analyze and interpret complex genomic datasets to support product development

Collaborate with software, FPGA, QA, QC, and clinical genomics teams for end-to-end workflows

Support DRAGEN platform advancements across germline, somatic, DNA, RNA, SV, CNV, and targeted sequencing

Engage with external scientific and customer teams to define future capabilities

Communicate technical approaches and results clearly to diverse audiences

Prepare technical documents, publications, and marketing materials

Evaluate new technologies to improve scalability, accuracy, and customer experience

Demonstrate accountability and contribute to a collaborative culture

Requisiti fondamentali Strong foundation in computer science, statistics, algorithms, and genomics

Experience developing novel but practical computational methods for biological challenges

Expertise in NGS technologies and secondary analysis (mapping, alignment, variant calling)

Strong software development skills in C/C++ or similar high-performance languages

Ability to translate solutions into production-ready software

Experience working in cross-functional, multidisciplinary teams

Ability to communicate complex ideas to technical and non-technical audiences

Masters or PhD in Computer Science, Engineering, Statistics, Bioinformatics or related field

Industry or research experience in genomic data analysis, including rare disease, cancer genomics, or population genetics

Collaborative mindset

Clear communication

Curiosity and scientific rigor

Genomic data analysis

NGS sequencing technologies

Secondary analysis methods (mapping, alignment, variant calling)