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Position Details Pay Range Minimum: $105,600.00 annual Pay Range Maximum: $111,240.00 annual Other Compensation: - Benefits: For information about benefits for this position, visit https://www.washington.edu
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to data extraction, processing, report application development, and analysis. Specific to clinical informatics, the CI is responsible for evaluation of the implementation of existing tools through reporting
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, earned value management, budget review/cost analysis, and change of scope impact analysis. Communicate any issues, problems, or additional information to project managers and project stakeholders and
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, earned value management, budget review/cost analysis, and change of scope impact analysis. Communicate any issues, problems, or additional information to project managers and project stakeholders and
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of experience data engineering, systems analysis, or a related technical field or equivalent combination of education and experience is required. Demonstrated proficiency in Snowflake SQL and advanced relational
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bioinformatics analyses that enable the interpretation of data generated by various biological assays, in addition to supporting the development of analysis pipelines at the platform. Working closely with other
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 22 days ago
staff, the Director of reporting oversees the design and execution of standardized reports, dashboards, and data visualizations in alignment with institutional needs and data governance standards
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 15 days ago
staff, the Director of reporting oversees the design and execution of standardized reports, dashboards, and data visualizations in alignment with institutional needs and data governance standards
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! This individual will support assessment, strategic planning, and accreditation efforts within Student Affairs. Essential Functions Maintain and create new data visualizations for Student Affairs
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have: Ph.D. in Biostatistics, Statistics, Bioinformatics, Data Science, or related field; with (i). technical skills such as Proficiency in R, Python, or SAS for statistical analysis and modelling; (ii