Senior & Staff Bioinformatics Scientist's

Overview In this role you will help advance genomic analysis at scale by designing novel algorithms and building production-ready software for the DRAGEN platform and ICA integration. You will join a cross-functional team of scientists, engineers, and clinicians to turn complex sequencing data into actionable insights. The work spans rare disease, oncology, population genomics, and precision medicine, with a strong emphasis on impactful, real-world applications. This is a mission-driven opportunity to shape genomic technologies that improve lives through collaboration and rigorous scientific development. Retribuzione / Benefits
* bonus or commission eligibility
* equity potential
* flexible time off
* summer shutdown
* pension contributions (UK)
* private medical insurance (UK) Responsabilità
* Design and implement computational methods for genomic data analysis
* Develop high-performance production software with emphasis on speed and accuracy
* Interpret complex sequencing data to support product/workflow development
* Collaborate with software, FPGA, quality, clinical genomics, and product teams
* Advance DRAGEN platform across germline, somatic, DNA, RNA, SV, CNV, and targeted sequencing applications
* Engage with customers and researchers to understand emerging needs
* Present findings to specialist and non-specialist audiences
* Contribute to publications, documentation, and thought leadership
* Evaluate emerging technologies to improve performance and outcomes
* Foster collaboration, accountability, and innovation across teams Requisiti fondamentali
* Master's or PhD in Bioinformatics, Computer Science, Statistics, Engineering, or related discipline
* Strong experience developing bioinformatics methods for NGS data
* Expertise in secondary analysis workflows (mapping, alignment, variant calling, genomic interpretation)
* Proficiency in C/C++ or equivalent high-performance languages
* Experience with large-scale genomic datasets and production software environments
* Knowledge of cancer genomics, rare disease analysis, population genetics, transcriptomics, or multi-omics
* curiosity
* innovation
* ability to collaborate across disciplines
* bioinformatics methods for NGS
* algorithm development
* secondary analysis workflows