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Field
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with a commercial company, we will develop an NGS assay to screen a cohort of ~1,200 patients using existing samples. You will contribute to the design of the assay and development of the bioinformatic
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strengths in laboratory-based enquiry using molecular genetics, metagenomics, biochemistry, cell biology, bioinformatics and structural biology, with rich clinical resources in microbiology, virology
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with mouse genetics, molecular biology (including functional genomics) and bioinformatics (including UNIX, R and Python for single cell analysis). You will be highly motivated, current with
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We have an exciting opportunity for a Computational Biologist/Bioinformaticianto join the Bioinformatics group at the School of Infection and Immunity, MRC-University of Glasgow Centre for Virus
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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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. Demonstrates knowledge of bioinformatics and cancer genomics. Strong organisational skills with ability to prioritise own workload and show attention to detail. Energy and enthusiasm and good interpersonal and
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biology experience with laboratory-based research (e.g., cell culturing, molecular techniques, bioinformatics, flow cytometry) ability to work independently and as part of a research team strong analytical
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. Strong background in statistical analysis and interpretation of large-scale data, especially NGS. Proven track record in a relevant subject (e.g. Bioinformatics/Computational biology/Computer Sciences
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proficient with microbial genetics, molecular microbiology, basic tissue culture and molecular biology techniques. Prior experience with bioinformatics (microbial sequencing and proteomics) would be
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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