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applicant should have a proven track record of publications, have previous experience with genomics data analysis, be fluent in at least one of the following programming languages: C++, Python or R, and will
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field that provides a strong research background for the project. Fluency in English and Python are required. Research experience working with large-scale machine learning projects, extensive research
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technologies, is highly desirable. Skills: Strong knowledge of clinical informatics frameworks, standards, and methodologies. Proficiency in data analysis software (e.g., R, Python, SAS, SPSS, SQL) and
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, integration, clustering, and annotation ● Proficiency in Python and/or R for large-scale data analysis ● Experience developing reproducible workflows, pipelines, and scalable data-processing frameworks