About the role
The Ellison Institute of Technology in Oxford is hiring a (Senior) Computational Genomics Scientist to design and develop novel computational algorithms for pathogen detection, including taxonomic classification and antimicrobial resistance prediction, turning metagenomic sequencing data into clinically actionable results. The role involves developing ML/AI methods with interdisciplinary teams, benchmarking against public and internal datasets, and implementing methods in scalable, reproducible workflows.
Candidates need a PhD or equivalent in a quantitative field such as computational biology, computer science, mathematics, or physics, a track record building computational genomics tools, and strong Python skills (C/C++/Rust a plus). Experience with microbial genomics, long-read sequencing (e.g., Oxford Nanopore), and cloud/MLOps is valued; senior-level candidates should have mentoring or management experience. Applications close November 3, 2026.
Text as published by the employer. Always confirm details on the employer's site.