Research Assistant in Data science
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Data Analyst with a strong background in statistics and health data, experienced in analysing large-scale real-world datasets including CPRD, HES and ONS. Skilled in Python, R, and Power BI, with a proven ability to clean, analyse, and interpret complex data to support evidence-based decision-making. Experienced in both research and applied analytics, with a keen interest in using data to improve healthcare outcomes and inform policy and practice.
Data analyst with a strong quantitative background and hands-on experience working with real-world healthcare data in research and applied settings. Currently working within a UK academic research environment, supporting data-driven studies through robust analysis, clear documentation, and effective collaboration with multidisciplinary teams. Known for attention to data quality, ethical handling of sensitive data, and the ability to translate complex findings into clear, practical insights.
MSc in Data Science with Advanced Practice, providing strong training in data analysis, statistical modelling, and applied data science, with a focus on real-world problem solving. Supported by a BSc in Statistics with Mathematics, which built a solid foundation in quantitative analysis, probability, and analytical thinking.
