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researcher (Grade 7), trained in statistics, epidemiology, economics or equivalent, with experience of longitudinal methods. Experience with one or more of the administrative databases within the ECHILD
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and Surveillance group. Within a week of working here, your day could look like this: you will be applying your epidemiological, statistical and leadership expertise to a range of studies to develop and
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Sciences & Medicine Hub for Applied Bioinformatics). The postholder will provide support in the data integration analyses as well as statistical analysis of data. The main purpose of the role encompasses
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. The ideal candidate will hold a PhD in a relevant field (e.g., Computer Science, Bioengineering, Biology, Data Science, Statistics) and possess strong coding skills in R or Python. Proficiency in handling
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. The ideal candidate will hold a PhD in a relevant field (e.g., Computer Science, Bioengineering, Biology, Data Science, Statistics) and possess strong coding skills in R or Python. Proficiency in handling
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Investigator and Co-Investigators, will be responsible for preparing and analysing statistical data from longitudinal cohort studies, day-to-day management of the quantitative strand, and writing up and
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) in epidemiology, psychology, public health, or a closely related discipline; Skilled in advanced longitudinal statistical methods; Experience of conducting primary quantitative data collection (e.g
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or reproductive biology Knowledge of statistics and relevant statistical packages Further information We ask all candidates to submit a copy of their CV and a supporting statement, detailing how they meet the
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criteria Relevant MSc/interest in pregnancy or reproductive biology Knowledge of statistics and relevant statistical packages We ask all candidates to submit a copy of their CV and a supporting statement
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management, analysis and interpretation of large datasets (from health, education, law, or another sector). With advanced skills in at least one statistical software package and a working knowledge of