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to support the candidate’s career development and will be planned in alignment with their skills and goals, where possible. Learn more about career support and career-enhancing work available at NHM
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qualification. Work experience The candidate has research experience in bioinformatics related to the management and analysis of large-scale genomics and genetics data (including exome and genome sequencing data
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relapse in order to design novel inhibitors to intervene the malignancies 3) collaborative analyses of myeloid cancers genomics using high-throughput single-cell sequencing chor high throughput proteomics 4
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sufficient specialist knowledge in transcriptomics and NGS sequencing as well as the essential computational skills (R, Unix or Python) to develop research programmes in this area, and familiarity with
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, innovative sequencing and bioinformatics technologies including single cell and spatial transcriptomics, molecular biology approaches using cell-based and animal models, and biomarker studies from patients
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. This role involves developing computational pipelines, conducting statistical and bioinformatics analyses, and integrating multi-omics data to support precision oncology research. The position aligns with
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interdisciplinary teams to align AI research with ethical standards and best practices in AI safety. Publish findings in top-tier conferences and journals, contributing to the broader AI and machine learning research
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workflows, including cloning and transformation. Running high-throughput capsule-based consortium sequencing assays. Performing genomic and structural homology analyses. Collaborating closely with
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molecular biology workflows, including cloning and transformation. Running high-throughput capsule-based consortium sequencing assays. Performing genomic and structural homology analyses. Collaborating
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, Italy and the UK. We will use artificial intelligence, bioinformatics, next generation sequencing and microbiology. The successful candidate will work closely with an interdisciplinary team of academics