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degree, ideally a doctoral degree in mathematical modelling, statistics, epidemiology or another relevant discipline with a strong quantitative component. Candidates should also demonstrate experience in
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discipline such as epidemiology, mathematics, physics, statistics, bioinformatics or computational biology, or similar research experience. Candidates should have proficient knowledge of a programming language
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. You will support the evaluation by developing study protocols, designing research instruments, managing data generation, statistical analysis and reporting for the impact evaluation and lead an evidence
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group of Dr. Mario dos Reis, as part of a BBSRC project on development of Bayesian methods to analyse large genomic datasets. We seek a highly motivated individual with relevant background in statistics
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, Nulsen Genome Medicine 2021); prediction of the causal interplay between cancer genes and the immune microenvironment using statistical models (Misetic Genome Medicine 2023); development of a software for
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analysis of electronic health record data using statistical software programs. Further particulars are included in the job description. The post is full-time, 1.0 FTE and fixed-term until 15 April 2027
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Fellow (RF) scale, depending on career level and expertise. Prospective candidates are expected to have an undergraduate degree in the field of health/environmental science or statistics, and postgraduate
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with internal and external collaborators. The post-holder should have a relevant MSc in the field of epidemiology, medical statistics, health data science or a related subject. Relevant experience
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postgraduate degree, ideally a doctoral degree, in a relevant topic and relevant experience in mathematical modelling, health economics, epidemiology, statistics or another relevant discipline with a strong
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An undergraduate degree in economics or statistics or equivalent experience is essential as is experience in data analysis and experience coding with Stata and R. Knowledge of the principles