689 parallel-processing-bioinformatics positions at University of Oxford in United Kingdom
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and testing new bioinformatic pipelines to analyse important public health pathogens. The team comprises research software engineers, bioinformatic engineers, biostatistical researchers, clinical
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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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expected to be bioinformatic in nature. Applicants must have a PhD in a relevant subject, experience of macrosynteny analysis and phylogenetic analysis of gene families, and a thorough knowledge of animal
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will include comparisons from within the Fungi to comparisons stretching back to the last universal common ancestor. You must be able to conduct a range of bioinformatic approaches involving the use
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experimental and computational approaches are employed to shine light into key biological processes during the life of parasitic flatworms. Large-scale sequencing datasets (‘omics’) are generated and analyzed
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wide range of parallel and mutually dependent activities. You will have experience mapping and designing processes for fast-paced and complex operational teams and providing analysis on opportunities
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additional expertise in areas such as FACS/mass cytometry, bioinformatics, or in vivo work (holding a personal licence) would be advantageous. Application Process If you would like to discuss this role, please
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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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://www.rdm.ox.ac.uk/research/antanaviciute-group-computational-biology-and-tissue-immunology About you You should possess a Ph.D. (or equivalent) in Computer Science, Computational Biology, Bioinformatics, or a closely
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candidates for the Malaria Vaccine Programme using some of the most advanced technologies in some of the following areas: immunology, biochemistry, molecular biology, proteomics, bioinformatics, genomics and