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analyses of viral proteins using AI-based prediction tools will also be integrated to support evolutionary inference. This work lies at the intersection of evolutionary biology, bioinformatics, and data
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phenotyping. We are seeking for an enthusiastic Post Doctoral Research Assistant (PDRA) with strong experience in bioinformatic analyses to join our team and lead the analyses of bulk and single cell ‘omic
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findings, and represent the group at meetings. A working knowledge of bioinformatics is also essential. One or more first-author scientific publications, experience in protein purification and flow cytometry
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genome/protein analysis pipelines for Mycobacteria genomics and drug target identification. Bioinformatics techniques will include database-driven analyses, quantitative comparative genomics approaches
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vivo culture. You will also investigate cGAS-STING signalling, regulation at the endoplasmic reticulum, and T cell phenotypes and trafficking. A key aspect of the role includes bioinformatic analysis
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will write research articles and present the results at national and international conferences. It is essential that you hold a PhD/DPhil in computational biology, genomics, bioinformatics
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and training courses. It is essential that you hold a PhD/DPhil (or close to completion) in experimental or theoretical biology, bioinformatics, clinical medicine, or a related discipline and have
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to biology together with relevant research experience in academia or industry. You will have experience with cancer genomics, including sequencing methodologies and associated bioinformatic applications. You
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and to master several laboratory techniques, and to commit to high standards, including record keeping and laboratory management. Basic bioinformatics skills or a willingness to learn them, and an
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research, and/or bioinformatics leading to impactful publications and experiencing in clinical research. Application Process You will be required to upload a CV and Supporting Statement as part of your