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health, and bioinformatics. You will apply advanced AI methods - from classical machine learning to large language models and agent-based AI - on large-scale healthcare datasets, including structured
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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
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interdisciplinary team, working closely together with experimental and clinical collaborators, you will perform bioinformatic analyses of a wide range of multi-ome data at bulk and single cell resolution. You will
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will be responsible for leading detailed analysis of large genomic datasets, including data processing statistical analyses, interpretation and presentation. You will have a key role in developing novel
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MRC centre of research excellence in Therapeutic Genomics. You will be responsible for performing detailed analysis of large genomic datasets, including data processing, statistical analyses
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considered if you can demonstrate a willingness and an aptitude to learn, and bioinformatic and other support will be provided. Opportunities will be provided for training and support for future career
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. In addition to the NIHR funded post available, locally funded posts may also be awarded in parallel, subject to funding and assessment against the stated criteria for the role. Applicants should be
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of diseases in new ways. Within this role, you will be responsible for conducting processing and detailed analysis for the different Oxford-GSK IMCM projects, working on various ‘omics datasets, including
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, theoretical statistics, and probability as well as applied statistics fields, including statistical and population genetics, bioinformatics, econometrics, statistical epidemiology and statistical finance
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. In addition to the NIHR funded post available, locally funded posts may also be awarded in parallel, subject to funding and assessment against the stated criteria for the role. Applicants should be