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to achieve a higher degree during the fellowship (e.g. PhD) and will need to have excellent academic and organizational skills, ideally with previous experience of data analysis and/or genetics. About the
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, Professors Ruth Keogh and Kate Walker. Applicants should have a postgraduate degree, ideally a PhD, in medical statistics, epidemiology, health economics or a related field. Relevant experience in applying
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PhD) while conducting highly policy relevant research. Applicants should have a postgraduate degree with MRCP or MRCS. Relevant clinical experience in providing cancer treatments, co-ordinating clinical
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Legacy, health data and genomic data analysis using genetic epidemiology, trial emulation or health economic analysis to address questions relevant to diverse populations and their risk of cardiometabolic
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analytic codes to investigate the benefits and harms of medications. Candidates must have a doctoral degree (or be within 3 months of anticipated completion of a PhD) in medical statistics or epidemiology
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to work: Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas and
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: Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas and Immigration website
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research track record and hold a PhD (or equivalent) in a relevant field or have demonstrated the impact of their work through creative practice and dissemination. Candidates are invited to consult
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Grade 4, in the range of £41,510 - £43,677 per annum (pro-rata), inclusive of London Allowance. About You The position is open to early-career researchers who have completed a PhD within the last three
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computational research projects and data infrastructure carried out in the research group. The post-holder will be able to develop research questions within Statistics, Population Data Science, Computational