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access to cutting-edge technology across the UK healthcare and biotech sectors. Read more about the initiative here This is a unique opportunity to help build a first-of-its-kind cancer AI development
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Electronic Health Records research group for a medical statistician/epidemiologist to work on a highly innovative research collaboration with University of Hong Kong, funded by Innovation and Technology
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of the research project and develop new areas of research. The post-holder will be expected to undertake a higher degree such as a PhD during the fellowship. About You The applicant must be a medically qualified
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degree, ideally a PhD, in health economics, medical statistics, data science, epidemiology or a related field. A clear conceptual understanding of causal inference methods such as instrumental variable
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will have a PhD in a related field, an emerging track record of outstanding publications, and well-developed plans for new research projects. This post is generously funded by the A. G. Leventis
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Research Fellow. The successful candidate will be a medical doctor with experience of providing cancer treatments (radiotherapy or surgery), and will join a new NIHR-funded research project called TACTIC
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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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our jobs website . Online applications will be accepted by the automated system until 10pm of the closing date. Any queries regarding the application process may be addressed to jobs@lshtm.ac.uk
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About the Role The post is based in the Centre for Trauma Sciences within the Centre for Neuroscience, Surgery and Trauma at the Blizard Institute. The Trauma Sciences research team
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be made on-line via our jobs website . Online applications will be accepted by the automated system until 10pm of the closing date. Any queries regarding the application process may be addressed