Overview
Senior Computational Biologist / Computational Genomics Scientist
Focused on applying computational biology, AI, genomics, and advanced software engineering to diagnostic and public health challenges in Oxford.
Responsibilities
* Develop computational approaches for microbial and metagenomic sequencing data.
* Design algorithms for genome assembly, binning, annotation, and functional characterisation.
* Apply AI/ML and statistical modelling techniques to large-scale biological datasets.
* Build scalable, reproducible workflows alongside software and engineering teams.
* Collaborate closely with computational scientists, software engineers, and experimental biology teams.
Backgrounds of Interest
* Computational Biology
* Computational Genomics
* Machine Learning applied to biological data
* Statistical Genomics
Key Requirements
* PhD (or equivalent experience) in Computational Biology, Bioinformatics, Computer Science, Genomics, or related field.
* Strong programming skills (Python essential, C/C++/Rust beneficial).
* Experience working with sequencing or genomic datasets.
* Strong grounding in algorithms, statistical modelling, or ML approaches.
* Scientific curiosity and strong problem‑solving ability.
Potential Candidates
* Strong postdoctoral researchers seeking a more applied environment.
* Industry computational biologists desiring greater technical ownership.
* Method-development scientists who enjoy building new approaches rather than running existing workflows.
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