Senior Bioinformatics Scientist
Pubblicato il 20-09-2026 - Illumina in Bolzano
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)