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of clinical studies 9. Experience of database management and data analysis using statistical software 10. Experience of research interviewing, including psychological measures and clinical assessments
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Details Summary of Role ICR’s Cancer Research UK Clinical Trials & Statistics Unit (ICR-CTSU) is offering a placement year training opportunity at its Sutton site in Surrey for an enthusiastic, adaptable
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requirements as dictated by the Higher Education Statistics Agency (HESA) and the Office for Students (OfS). You will also provide advice, recommendations and expertise to staff and students throughout
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of stakeholders. They will have a keen eye for detail with an ability to identify patterns and trends and draw conclusions from these and they will be a highly experienced user of Excel and statistics
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in access/ outcomes of mental health care pathways in the UK. Prospective candidates should be conversant with quantitative statistical methods and be committed to tackling health inequalities. PhD
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; Great Ormond Street Hospital for Children NHS Foundation Trust | London, England | United Kingdom | 7 days ago
costs of their project. We will support two students, one in the area of health data science/epidemiology/statistics and the other specialising in applied machine learning and informatics. The closing
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skills• Skilled in analysing longitudinal data including target trial emulation approach• Proven proficiency using Statistical Software (e.g. SAS, R, Stata)• Strong working understanding
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require extensive data cleaning expertise and will apply advanced statistical techniques including predictive modelling, natural language processing and the development and validation of an explainable
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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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conduct basic statistical analyses quickly to inform a Centre/programme response. Preparing data reports for the project leads Conducting and supporting data analysis (e.g., multi-level models, longitudinal