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this role you will be using your skills to aid with machine learning, bioinformatics and preclinical validation as well as working with a multi-disciplinary team who seek to transform cancer and its treatment
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-compliant handling and delivery of large-scale datasets. A particular focus is the Multi-Dimensional Viewer, a spatial bioinformatics platform under development by colleagues in Oxford, which will be used
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hypotheses and support the programme objectives. In addition, you will provide bioinformatics input into outline and full grant proposals, as a co-applicant. You must hold a PhD/DPhil with a significant
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About the Role We are seeking a talented and forward-thinking bioinformatician to join our interdisciplinary team designing, developing and testing new bioinformatic pipelines to analyse important
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experimental expertise across projects. You will be responsible for performing high-quality bioinformatic analyses of single-cell and multi-omic datasets, developing and optimising computational workflows, and
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a collaborative, multidisciplinary team that brings together experts in immunology, bioinformatics, spatial biology, genomics, proteomics and clinical translation. The role sits within the Barnes
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day-to-day basis. You must hold a PhD/DPhil with a significant computational and/or statistical element, or comparable industrial research experience. You must have expertise in bioinformatics analysis
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networks, and molecular ‘ageing’ clocks. About you We are seeking an enthusiastic and ambitious postdoctoral scientist with a PhD in Data Science, Bioinformatics, or equivalent, as well as expertise in
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the bioinformatics research group with responsibility for carrying out research in generative AI applied to mental and cognitive health, such as custom large language models applied to electronic health records and
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niche. You will be involved in designing, developing and implementing high-throughput bioinformatics and machine-learning solutions to analyse large-scale genomic and transcriptomic datasets (bulk and