Overview
Location: John Radcliffe Hospital, Headington, Oxford
We are seeking a motivated and enthusiastic Research Scientist with strong AI/machine learning expertise to join the research group of Professor Jim Hughes. The primary focus of the project is to identify causal non-coding changes in the human genome and their linked genes which underlie a spectrum of common diseases. The initial focus will be on non-coding genetics of the haematological cellular niche.
Responsibilities
* Design, develop and implement high-throughput bioinformatics and machine-learning solutions to analyse large-scale genomic and transcriptomic datasets (bulk and single-cell), with the aim of linking DNA sequence and chromatin features to gene regulation and expression.
* Translate mathematical and AI concepts into robust, well-engineered pipelines that run reproducibly at scale on HPC/cloud environments, with emphasis on interpretability, uncertainty estimation and generating mechanistic hypotheses.
Qualifications
* Postgraduate degree (MSc) or greater in computer science, bioinformatics, or a related computational discipline.
* Experience and demonstrable background in analysing complex biological data.
* Essential requirements include expertise in machine learning libraries (TensorFlow, Keras, PyTorch), strong programming skills (Python and R), experience with statistical and mathematical methods for AI in high-dimensional spaces, and proficiency in developing reproducible computational pipelines for HPC/cloud environments.
* Experience with AI explainability methods, Git repositories, GPU acceleration, and the ability to draft manuscripts for publication.
Contract and Funding
The post is available fixed-term for 12 months, funded by the Wellcome Trust.
Application
Applications for this vacancy are to be made online. You will be required to upload a CV and supporting statement as part of your online application.
Closing date: 12:00 noon on Wednesday 01 October 2025. Interviews will be held in October 2025.
Salary: £39,424 to £47,779 per annum
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