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Under general supervision of the ICHS Bioinformatics manager this candidate will be required to utilize programming languages such as R , matlab and Python and apply state-of-art machine learning and statistical algorithms to analyze very large health data. Such data will be clinical, phenotypic and population level data of several categories, structured, semistructured and unstructured data. He will also use tools such as R shiny to organize and share data on web-based platforms. Non-structured data includes text, images, and "messy" alphanumeric data. Strong AWS and Linux system administration skills will be preferred to build scalable general-purpose computational and inferential software tools to work with the data. Candidate will also evaluate third party tool