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About the role We are seeking a Senior Bioinformatician to join the Hub for Applied Bioinformatics (HAB) within the Faculty of Life Sciences & Medicine at King’s College London. Reporting
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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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, microscopy, flow cytometry, and bioinformatics are essential to the post, along with sufficient specialist knowledge in stem cells, developmental biology, and immunology. Strong organisational skills, with
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-quality teaching. The Hub for Applied Bioinformatics (HAB) is the Faculty’s focal point for computational biology, delivering bespoke bioinformatics support and training across genomics, transcriptomics
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of medulloblastoma biology, focussing specifically on tumour metabolic targets. You will develop and support the INSTINCT-MB. programme through the provision of experimental, analytical and bioinformatic expertise
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Prior research experience in inflammasome signalling, interferon pathways, or bacterial virulence factors Comfort working with GraphPad Prism, RStudio, or basic bioinformatics tools Familiarity with
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/cis-gene detection, qPCR and western blot. The work might include some bioinformatics analyses of protein properties and predictions of the effect of mutations on structure, interaction and function
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these bioinformatic experiments. Access to a high-performance computer will be provided. The candidate must be capable of generating complex molecular compound models in silico and using current molecular dynamic
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have experience of conducting bioinformatic analyses for DNA-based data (e.g. shell scripting or python), although this is not essential. There will be exciting opportunities to work with external
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professional qualifications in bioinformatics, such as a MSc in Bioinformatics Evidence of collaborations with industry. Proven ability to work without close supervision Proven ability to adapt to the changing