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and statistical analysis plan. They should have experience in epidemiological analysis using routine healthcare datasets, along with advanced skills in coding in R and/or Stata. Completion of MRC
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challenges and proposing solutions. E6 Experience with challenging library preparation methods. Desirable F1 Experience using various technical software for sequence data analysis, namely R and Python. F2
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Essential: C1 Project or subject specific skills in Model Selecting, R and python coding, database management C2 Research creativity and cross-discipline collaborative ability as appropriate. C3 Excellent
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/research discipline, and experience of personal development in a similar role. A2. Deep knowledge in RNA biology and RNA-binding proteins. A3. Knowledge in computational analyses, including R. Desirable: B1
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molecular structures with X-ray crystallography or cryo-electron microscopy. D3. Familiarity with ‘omics datasets. D4 Data handling and management skills; for example, statistical analysis (R, Prism
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of epidemiological modelling and data analysis C2 Up-to-date knowledge of epidemiological modelling approaches C3 Knowledge of relevant programming languages for model development, for example Java, R, C++, Julia C4