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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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experience in one or more of the following areas: development of methods for multi-omics data integration, application of machine learning models in life science, single cell data analysis and spatial
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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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, 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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experimental data analysis and management Drafting proposals, reports and presentations relevant to the projects Liaising with project collaborators and partners Performing various laboratory administrative
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skills. They should demonstrate the ability to perform quantitative research and statistical analysis, conduct psychiatric interviews, and manage database. Applicants with experiences in conducting
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and validation, data analysis, report and manuscript writing, and public disseminations of findings. Support the PI in the coordination and monitoring of the instrument development and validation
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analysis of large datasets using R and/or STATA Strong Biomedical Science and quantitative background Demonstrated abstract concepts in an accessible way to all organizational levels Good communication and
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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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of course coordinator, Professor Wang, and other teaching professors; Run tutorials to undergraduate students with multiple sessions per week; Assist in the design, implementation, and analysis of research