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the Mailman School of Public Health seeks an experienced quantitative Data Analyst to provide data management and conduct analysis of a project focusing on cannabis policies and cannabis outcomes in pregnant
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. Responsibilities Design and analyze high-throughput serological datasets; develop and refine automated analysis pipelines using machine learning/AI methods ? 40% Perform basic and advanced statistical analysis
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; experience with signal processing, spectral analysis, time-series analysis, machine learning algorithms and the modeling and analysis of complex systems; strong publication record; proficiency with either
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with data gathering, analysis, and reporting efforts to inform the School?s operations and planning, ensuring data integrity and consistency across sources. Responsibilities Reporting & Analysis Assist
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, IRB and other regulatory support, and generating reports. The incumbent will perform population health data analysis, including processing large datasets, performing statistical analyses, preparing
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of onboarding new practice leaders Works to resolve complex matters, assess root cause analysis, and facilitate lessons learned for issues adversely impacting departmental revenue cycle, including but not limited
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engineering, including experimental planning, execution, and data analysis. Assist in?establishing laboratory infrastructure, including the setup of equipment and organization of shared workspaces. Coordinate
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mechanisms of ovarian aging and exploring the role of the gut microbiome in modulating ovarian function and reproductive lifespan. The successful candidate will lead computational analysis of high-dimensional
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investigator and collaborators outside of Columbia. Responsible for the design, execution, statistical analysis, critical evaluation, and interpretation of the research results for presentations and manuscript
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modeling and in data analysis for model development. S/he will interact with scientists from multiple disciplines and decision makers from diverse cultures and socio-economic backgrounds. The postdoc will