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(NC State) invite applications for a full-time Postdoc Associate to conduct research on causal inference and analytic methods for data integration, with a focus on innovative statistical methods
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, North Carolina 27710, United States of America [map ] Subject Areas: Statistics / Statistics Clinical Research Appl Deadline: none (posted 2024/11/22) Position Description: Apply Position Description
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: Durham, North Carolina 27710, United States of America [map ] Subject Areas: Statistics / Statistics Clinical Research Biostatistics / Clinical Trials Appl Deadline: none (posted 2024/11/01) Position
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will develop novel statistical and machine learning methods for any of the following: multi-omics data (such as bulk and large-scale single-cell RNA sequencing data, spatial transcriptomics, bulk and
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to data needs, applying advanced statistical modeling to observational, epidemiologic, and real-world data, and communicating results to team and external stakeholders in an effective manner. This role
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correct code problems. Apply statistical and machine learning techniques to identify trends and insights in historical data. Design reports using tools such as statistics, graphs, images, and lists to help
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innovative statistical methods in clinical trial design and variable selection methods in high dimensional data that will predict clinical outcomes and meta-analyses. The successful candidate will collaborate
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technical duties involved in the application of intermediate statistical and technical skills in the collection, compilation and analysis of statistical data in conjunction with an academic research program
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epidemiology methods relevant to cancer and population health, especially for secondary data analysis; Develop advanced statistical methodology, causal inferences in observational data, quasi- experimental
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. Knowledge in SAS, SPSS, STATA or other statistical software preferred. Local travel possible and reliable transportation required. Must have a valid driver’s license. Must be available to work some nights and