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interest to identify cancer drivers from genomic data using machine learning (Mourikis Nature Comms 2019, Nulsen Genome Medicine 2021), study their interplay the immune microenvironment (Misetic Genome
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-of-the-art facilities and the latest computational pipelines for multi-omics analysis. This is a fantastic opportunity to be involved in pioneering research that uses multi-omics data to advance human health
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invasive surgery. Essential skills include system integration, Image processing, data analysis, and excellent written and verbal communication. The ability to work both independently and as part of a
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Institute (DERI). DERI is Queen Mary’s flagship University Research Institute dedicated to ground-breaking multi-disciplinary research in digital and data science, including artificial intelligence (AI). DERI
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to completion*) in a relevant subject and a proven track record in computational biology and data science, coming from either a bioinformatic or computational background. With experience of working with large
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performing experiments using human cells, murine tissues and/or cell lines. You must have previous experience on handling scientific data, data analysis and statistics. Must have excellent interpersonal
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Right to work: Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas
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Right to work: Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas
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studies, writing protocols, collecting data and disseminating findings. This two-year project will involve collaborative working with behavioural science colleagues in the Centre for Cancer Screening
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leading on qualitative data collection and analysis for the relevant workstreams of the ADHOC programme, the main duties will include contributing towards the ADHOC Trial at all stages by applying agreed