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of research-related items, claim submission etc. Qualifications The applicant should: Bachelor/Masters degree in biomedical science, bioinformatics, statistics, data science or a related field Strong in
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within large IT infrastructure. Deep understanding of statistical analysis, data mining or machine learning Practical experience in working with large structured and unstructured data set Ability to think
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methods and appropriate statistical procedures, e.g., structural equation modelling, and Healthcare systems and policies to design health promotion interventions for the general public as well as at-risk
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application an advantage: For quantitative researchers Proficiency in Qualtrics and SPSS/R/STATA programming for statistical analyses, Preferably knowledge of statistical tools and methods for longitudinal data
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in biomedical science, bioinformatics, statistics, data science or a related field Strong in analytical skills. Preferably proficient in statistical software such as SPSS and/or R Be able to work