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this understanding to provide analysis, consultation, and broad functional expertise on the business operational needs of the department. Consults with division management to analyze team and division-wide needs
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data collection, data analysis, data management, literature research, and technical writing in support of research project(s); performs quantitative and qualitative data collection and analysis. Consults
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. Performs accessioning, processing, and analyzing patient specimens following standard operating procedures. General Responsibilities Prepares patient samples for testing and analysis (e.g., DNA/RNA
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applications. Organizes and leads project-based and/or analysis meetings and presentations. Identifies and contacts constituents external to unit for collaborative purposes. Prepares presentation materials
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biomedicine, biotechnology, health care, and enable effective analysis of large, complex biomedical data sets (i.e., big data). About the Convergent Bioscience and Technology Institute (CBATI) and the Institute
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responsibilities, as outlined below. The ISCBIRG at IUSM is an integrated component of Stark Neurosciences Research Institute. The group is comprised of a critical mass of key principal investigators who study
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involving human subjects Familiarity with handling and safeguarding Protected Health Information (PHI) Experience with custom data collection and analysis software, primarily developed in MATLAB Ability
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analysis and adjusts strategies based on application trends, student engagement, and yield outcomes. Acts as a liaison with IU Admissions and other university departments, representing HLS as directed by
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an emphasis on key target audiences and both internal and external constituent groups. Oversees personnel and resources responsible for producing integrated communications media that support recruitment
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genomics, or other related research area. Candidate must have expertise in large datasets, developing analysis pipelines, omics analyses, the ability to program and use command line tools, machine learning