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suit someone with a high level of organisational skills and keen to share some responsibility of looking after the laboratory, alongside their own bioinformatics work and acting as a conduit for
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This vacancy has been extended until 08/07/2025 About the Role We are seeking a talented and forward-thinking senior bioinformatic engineer to join our interdisciplinary team designing, developing
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niche. You will be involved in designing, developing and implementing high-throughput bioinformatics and machine-learning solutions to analyse large-scale genomic and transcriptomic datasets (bulk and
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represent the research group at external seminars and conferences. To be considered, you must hold a PhD/DPhil in statistical genetics, quantitative genetics, bioinformatics, computer science, statistics
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computational-bioinformatic approaches, as well as direct experience with laboratory molecular and cell biology techniques with respect to either cancer or immunology. You should have proven skills in working
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, bioinformatics, and data science. You will design and deliver statistical analyses using large-scale electronic health records and pathogen sequencing data to improve infection diagnosis, management, and
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close to completing) a PhD in statistical genetics, computational biology, bioinformatics, or a related quantitative discipline, with proven expertise in the analysis of large-scale sequencing data and
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at international meetings, and engage with collaborators across clinical and academic settings. Applicants should hold (or be close to completing) a PhD in statistical genetics, bioinformatics, computational biology
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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