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management tools. This role involves designing and executing large-scale epidemiological studies using EHR data, overseeing clinical data annotation/processing from public and Hospital Authority sources, and
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or related disciplines. They should have i) a strong quantitative background; ii) experience in analysing epidemiological data using R, STATA, SAS or other statistical packages; iii) demonstrated expertise in
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, epidemiology, biostatistics, genomics, big data analytics, or artificial intelligence analytics Be familiar with conducting analysis with different types of data, including metagenomics sequencing, genomics
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Health or other related disciplines with at least 2 years of post-bachelor's work experience. Previous work experience in big data analysis, managing large databases of multiple research projects relating
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Coordinate clinical studies and trials Manage and analyse large clinical biobank datasets Be exposed to ample opportunities in developing an academic career Perform other duties as assigned Requirements A Ph.D
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degree or above in Biostatistics, Biomedical Sciences or related disciplines with at least 3 years’ post-qualification experience (preferably in clinical research, epidemiological data analysis of large
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. Previous work experience in big data analysis, managing large databases of research projects relating to family caregivers of older adults and/or cost effectiveness evaluation, and with related track records
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and summarize findings related to AI and large language models and their applications to above mentioned fields; Prepare research reports, presentations, and manuscripts for publication; and Collaborate
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informed neural networks (PINN) and explainable machine learning (EML) frameworks; experience in related technologies including large-scale data analysis, deep learning, Python, PyTorch; and the ability
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scenario, with four specific studies: Develop knowledge representation from multi-modal datasets (tabular EHR data, texts, images) of patients with chronic hepatitis B infection using advanced AI and Large