Senior Bioinformatics Scientist
Pubblicato il 27-09-2026 - Illumina in Bolzano
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 offprivate medical insurancepensionemployee stock purchasing programvolunteer time offDesign and prototype computational and statistical algorithms to extract signals from sequencing dataDevelop and optimize high-performance production software using C/C++ and related techAnalyze and interpret complex genomic datasets to support product developmentCollaborate with software, FPGA, QA, QC, and clinical genomics teams for end-to-end workflowsSupport DRAGEN platform advancements across germline, somatic, DNA, RNA, SV, CNV, and targeted sequencingEngage with external scientific and customer teams to define future capabilitiesCommunicate technical approaches and results clearly to diverse audiencesPrepare technical documents, publications,
and marketing materialsEvaluate new technologies to improve scalability, accuracy, and customer experienceDemonstrate accountability and contribute to a collaborative cultureStrong foundation in computer science, statistics, algorithms, and genomicsExperience developing novel but practical computational methods for biological challengesExpertise in NGS technologies and secondary analysis (mapping, alignment, variant calling)Strong software development skills in C/C++ or similar high-performance languagesAbility to translate solutions xysqume into production-ready softwareExperience working in cross-functional, multidisciplinary teamsAbility to communicate complex ideas to technical and non-technical audiencesMasters or PhD in Computer Science, Engineering, Statistics, Bioinformatics or related fieldIndustry or research experience in genomic data analysis, including rare disease, cancer genomics, or population geneticsClear communicationCuriosity and scientific rigorGenomic data analysisNGS sequencing technologiesSecondary analysis methods (mapping, alignment, variant calling)#J-*****-Ljbffr