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. About you Strong quantitative research skills with hands-on experience are essential. You must have experience in application of bioinformatics pipelines to omics data (outside educational settings). You
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data in collaboration with bioinformatics experts to assess library quality and performance. vii. Contribute to regular project meetings, reporting progress, troubleshooting technical challenges, and
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The responsibilities may include some but not all of the responsibilities outlined below. Design and conduct bioinformatic data analysis pipelines under the guidance of the research supervisor to test the project
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comprise both the development of bioinformatics pipelines and the application of novel machine learning methods for interpreting microbiome and host ‘omics data from faecal, intestinal biopsy and saliva
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population genetics, bioinformatics, computational biology, statistics or probabilistic machine learning and computer science. Experience of working with large genotyping or sequencing data sets A proven
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, statistical genetics, genomics, genetic epidemiology, and bioinformatics as well as in-depth knowledge of genomics and relevant software. The candidate will be required to demonstrate relevant research and
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employment). Extensive experience in handling and analysing large-scale genomic datasets. Demonstrated experience in developing bioinformatics pipelines and computational workflows. Track record
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search using vacancy reference B02-09130. About you You will have a PhD in Computational Biology, Applied Mathematics, Statistics, Biostatistics, Epidemiology, Bioinformatics, Computer Science
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bioinformatics. The successful candidate will join a team with a strong track record in developing computational tools and informatics infrastructure for metabolomics applications in toxicology, systems biology
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be at Research Assistant Grade 6B, with payment at Grade 7 being backdated to the date of final submission of the PhD thesis. About you The successful candidates : Have a PhD in bioinformatics/single