Senior Computational Scientist

We have a (Senior) Computational Biologist within a mission-driven, research and technology organisation focused on translating advanced genomic science into real-world diagnostic and public health applications.

As a Scientist or Senior Scientist in Computational Genomics, you will design and develop novel algorithms and analytical methods for microbial sequencing data, contributing directly to the development of next-generation diagnostic solutions.

• The opportunity to develop novel computational methods with real clinical and public health impact
• A role at the intersection of genomics, AI/ML, and scalable cloud infrastructure
• Close collaboration with computational scientists, engineers, and experimental teams
• Ownership of method development from research through to product integration
• A highly interdisciplinary, innovation-led environment

• Design and evaluate new computational approaches for genome assembly, binning, and functional characterisation from metagenomic sequencing data
• Apply advanced statistical and AI/ML techniques to large-scale microbial datasets
• Implement methods into scalable, reproducible, and modular workflows in collaboration with engineering teams
• Benchmark approaches using public and internal datasets and support experimental validation
• Contribute to technical discussions across computational, software, and wet-lab teams
• Communicate complex concepts clearly to interdisciplinary stakeholders

• PhD (or equivalent experience) in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field
• Experience developing computational methods for next-generation sequencing data (postdoctoral or industry experience for Senior level)
• Strong grounding in algorithms, data structures, and statistical modelling relevant to genomics
• Experience applying machine learning to biological or sequencing data
• Proficiency in programming (e.g. Python, C/C++, Rust) and modern software development practices
• A rigorous, detail-oriented mindset with commitment to reproducibility and benchmarking

Experience with microbial genomics, long-read sequencing, workflow management systems, cloud environments, or open-source bioinformatics contributions.