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, religion or belief, sexual orientation, or trans status or history. More information on our structures and initiatives around EDI, including information on staff diversity networks, can be found on our
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regression models to complex forms of observational data, and of applying causal inference approaches to health data are essential. Experience of analysing time-to-event outcomes is desirable. This role offers
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Social Science, Demographic Science or a related field. Candidates should be able to analyse detailed and complex qualitative and/or quantitative data from a variety of sources and generate original ideas
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information on our structures and initiatives around EDI, including information on staff diversity networks, can be found on our Equality and Diversity Intranet page .
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structures and initiatives around EDI, including information on staff diversity networks, can be found on our Equality and Diversity Intranet page .
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experience working with complex datasets, missing information and data quality issues. Programming skills in R, Python or other open-source programming language are required. Further particulars are included
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degree. They will have experience performing complex biostatistical analyses, risk prediction, and an aptitude for methodological research. Experience with epidemiological analysis or large-scale health