Senior Bioinformatics Scientist

Illumina; Cagliari; In loco; EUR 70.000 - 110.000; Tempo pieno

Vantaggi offerti da questo lavoro

flexible time off

private medical insurance

pension

employee stock purchasing program

volunteer time off

Descrizione del lavoro

Illumina in Italy is expanding its bioinformatics team to advance human health by developing novel methods for complex genomic data. You will contribute to the DRAGEN platform and Illumina Connected Analytics, collaborating with software, FPGA, QA, QC, and clinical genomics teams to deliver end-to-end workflows with real-world impact.

A Masters or PhD in a relevant field and experience in NGS technologies are required; strong C/C++ skills and a production mindset are essential.

Competenze

• Masters or PhD in Computer Science, Engineering, Statistics, Bioinformatics or related field.
• Experience with NGS data analysis and secondary analysis (mapping, alignment, variant calling).
• Strong background in algorithms, statistics, and genomics.

Mansioni

• Design and prototype algorithms to extract signals from sequencing data.
• Develop and optimize high-performance production software in C/C++.
• Analyze complex genomic datasets to support product development.
• Collaborate with software, FPGA, QA/QC, and clinical genomics teams.
• Define future capabilities with external scientific and customer teams.
• Communicate technical approaches to diverse audiences.
• Prepare technical documents, publications, and marketing materials.

Conoscenze

C/C++

High-performance software

Algorithm design

Genomics

NGS data analysis

Cross-functional collaboration

Production software translation

Formazione

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

Strumenti

Git

Linux

Descrizione del lavoro

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.

• flexible time off
• private medical insurance
• pension
• employee stock purchasing program
• volunteer time off
• 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
• 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
• Clear communication
• Curiosity and scientific rigor
• Genomic data analysis
• NGS sequencing technologies
• Secondary analysis methods (mapping, alignment, variant calling)