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, the role will involve the use of cutting-edge computational methods (structure/ligand-based design, AI/ML, virtual screening, chemo/bioinformatics, data-mining etc) to effectively advance programs with
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Professor Nicholas Feasey on a range of projects related to infectious diseases and AMR. The successful candidates will have a PhD in bioinformatics, microbiology, virology, or a related field, ideally with
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, neuroimaging, neurophysiology, proteomics, transcriptomics, epigenomics, metabolomics, bioinformatics, cell models and animal models. First in man and Phase 2, 3 and 4 clinical trials are also strongly supported
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models with a key focus on integrating pathology, radiology, and electronic health records (EHRs), while collaborating with the bioinformatics team to incorporate molecular data such as bulk RNA-Seq, whole
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models with a key focus on integrating pathology, radiology, and electronic health records (EHRs), while collaborating with the bioinformatics team to incorporate molecular data such as bulk RNA-Seq, whole
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culture, cellular transfection, RNA expression analysis (qRT-PCR, RNA-seq), FACS analysis, Western blotting, ELISA, and bioinformatics. A background or interest in osteoarthritis, drug discovery, RNA
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, neuroimaging, neurophysiology, proteomics, transcriptomics, epigenomics, metabolomics, bioinformatics, cell models and animal models. First in man and Phase 2, 3 and 4 clinical trials are also strongly supported
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to evaluate and validate naïve pluripotency. Transcriptomics and network inference will be supported by computational/bioinformatics members of the team. Chimaera studies will be in partnership with our
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and communication skills whom consistently meets agreed timelines. Familiarity with the mathematical language commonly used in biophysics and/or bioinformatics. Knowledge of the machine learning models
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Ability to work independently and also in a team Desirable Experience in ‘omics techniques and bioinformatic analysis Experience in signal transduction research About Working at the Crick… Our values