Research Fellow (Computational Genomics & AI)

The Creevey Research Group at Queen's University Belfast is seeking an exceptional Research Fellow to join a cutting-edge project funded by the Defence and Security Accelerator. This interdisciplinary collaboration with the University of Lincoln and University of Liverpool focuses on developing innovative computational approaches that integrate advanced genomic analysis with state-of-the-art artificial intelligence methodologies.

The successful candidate will work at the forefront of computational biology, developing novel approaches for large-scale genomic data analysis and contributing to the advancement of AI applications in biological sciences. This role presents a unique opportunity to work with pangenomic datasets while exploring the application of Large Language Models (LLMs) and machine learning techniques to address complex biological questions with significant societal impact.

The position offers the opportunity to contribute to groundbreaking research that will advance our understanding of microbial genomics and develop computational tools with broad applications in biotechnology and biosecurity. The role involves collaboration with leading researchers across multiple institutions and will contribute to the UK's strategic capabilities in genomic sciences and artificial intelligence.

About the person:

The successful candidate must have, and your application should clearly demonstrate that you meet the following essential criteria:

• Have or about to obtain a PhD degree in Computer Science, Computational Biology or other relevant discipline (*must be obtained within 3 months of commencement of employment).
• Extensive experience in handling and analysing large-scale genomic datasets.
• Demonstrated experience in developing bioinformatics pipelines and computational workflows.
• Track record of publications in computational biology or related fields appropriate to career stage.
• Experience with pangenomic analysis tools and methodologies.
• Experience with version control systems (Git) and reproducible research practices.
• The successful candidate must be willing to undergo a security check with the Ministry of Defence (MOD). Any offer of employment will be conditional upon the receipt of satisfactory security clearance from the MOD.

To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information document on our website.

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