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clinical services and research staff to promote effective recruitment, adherence to protocol, and timely completion of data collection across sites. A key component of the post involves conducting clinical
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research. About the role: We are seeking a data scientist with extensive expertise in statistics, machine learning and AI, and with experience in mental health research and the analysis of electronic health
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industry community. About the role The research component of this post will comprise working as part of the Skin Health Theme at St John’s under the supervision of Professor Catherine Smith. This post
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Understanding of observational study designs and causal inference methods Knowledge of health research methodologies and current issues in real-world data analysis Be capable of working independently and
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: Essential criteria PhD qualified in relevant subject area (e.g. data science, computer science, AI/NLP) Experience in Data Science techniques, especially data analysis and prediction modelling, evidenced by
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, distinctions, publications, presentation…) Experience in MR imaging, image analysis, and/or undertaking scientific research. Full details of the role and the skills and experience required, can be found in
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inference methods Knowledge of health research methodologies and current issues in real-world data analysis Be capable of working independently and collaboratively in a multidisciplinary team Track record
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to trial protocol development, randomization procedures, statistical analysis plans, and interim and final analyses for clinical trials. The post holder will provide statistical input throughout the trial
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into gene sequencing analysis). Being highly motivated, strong collaborative spirit, with excellent communication skills. Having demonstrated organisational skills, initiative and ability to work
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associate supervision) Advanced skills in study/experimental design (research planning) and analysis of complex research data. Advanced knowledge of preclinical (in vitro and/or in vivo) validation. Expertise