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. This includes data analysis using Python-based algorithms. Experience with EELS is preferred. Skills This See Experience
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-C Micro-C RCMC Organoid culture systems Mouse models Flow cytometry DNA damage and repair assays Computational genomics and bioinformatics Programming and analytical tools such as: R Python Command
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, agent-based models, network models, stochastic systems, or dynamical systems Experience with R or Python Experience working in high-performance computing environments Familiarity with version control
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, STATA, or Python) Have interest or experience in cancer epidemiology, genomics, and/or social determinants of health Exhibit strong critical thinking, attention to detail, and a commitment to
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, transformation workflows, and source control/deployment practices, including use of tools such as SSIS, ADF, SQL Server Agent, Python, GitLab, and CI/CD Knowledge of and appropriate use of
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or Tableau Familiarity with benchmarking or workforce management platforms such as Vizient and Strata Experience presenting analytic findings to clinical or executive audiences Experience with Python
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to junior staff, students, or collaborators. Experience using artificial intelligence (AI) tools or methodologies to support data analysis and research activities. Proficiency with R and/or Python
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descriptive analyses. Proficiency or familiarity with data analysis tools (e.g., Excel, R, Stata, SAS, or Python) to clean, analyze, and visualize data. Strong written communication skills and the
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Senior Policy Analyst, Duke Margolis Institute for Health Policy Hybrid (Washington DC or Durham NC)
collaboratives. Experience with mixed-methods or implementation-focused policy research. Proficiency or familiarity with data analysis tools (e.g., Excel, R, Stata, SAS, or Python) to clean, analyze, and
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analyses. Proficiency or familiarity with data analysis tools (e.g., Excel, R, Stata, SAS, or Python) to clean, analyze, and visualize data. Strong written communication skills and the ability to