Senior & Staff Bioinformatics Scientist's

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.

• bonus or commission eligibility
• equity potential
• flexible time off
• summer shutdown
• pension contributions (UK)
• private medical insurance (UK)

• 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

• 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