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Job Description

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.

This Will Offer You

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

Your Responsibilities

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

You Will Bring

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

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

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