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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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, 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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preimplantation genetic testing, molecular sequencing, and bioinformatics. If you are eager to contribute your expertise and inspire the next generation in these cutting-edge fields, this role offers a unique
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regulation in motor neurons. Your work will involve high-resolution imaging, iCLIP, and close collaboration with the Institute’s bioinformatics team to interpret and connect molecular changes with cell-level
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, statistics or bioinformatics) and have additional postdoctoral research experience (either within academia, industry, or other research settings). You will have demonstrable experience in leading research in
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essential that you currently hold a degree in a related field (e.g. genomics, statistics, bioinformatics), with substantial experience relevant to the role (such as additional research experience in