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and Atlas Mapping. The position is one of four in a coordinated cluster hire - alongside colleagues in behavioral neuroscience, machine learning and AI, and research software engineering - studying
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discipline Strong quantitative data analysis skills Experience analyzing large administrative or longitudinal datasets Proficiency in statistical software such as Stata, R, or SAS Excellent written
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(UNC-CH), and/or with other groups in quantitative genomics areas in and outside Duke University. The postdoc candidate will join a highly collaborative team to develop ML/AI x genomics methodology
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and study designs to conduct rigorous analyses of complex healthcare studies. Develop and implement advanced statistical approaches using software such as SAS, R, or Stata. Contribute to grant
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biological processes. Our open-source CellProfiler software, cited in over 23,000 papers, has enabled discoveries leading to several clinical trials, including two successful in cancer so far. We also
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Qualifications Demonstrate proficiency in statistical analysis and IRT software, including (but not limited to) SAS and R. Have strong knowledge and applied experience in psychometric principles, including item
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candidate will also bring experience in 3D printer customization, software/hardware integration, and CAD modeling skills. Responsibilities Minimum Qualifications Preferences Type Benefited Staff Special
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administrative or longitudinal datasets Proficiency in statistical software such as Stata, R, or SAS Excellent written communication skills, particularly technical writing Ability to manage multiple tasks
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, spreadsheet and statistical software applications or program platforms; As a member of a project team, assists in the design and execution of laboratory experiments, techniques, and protocols; Performs routine
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towards this requirement. Technical Skills or Knowledge: Proficiency in Python and other related software, such as MATLAB, R, Julia, SQL, and data analysis/optimization libraries. Preferred Competencies