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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Statistics and Biostatistics Analyst 2
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) the information in your candidate profile as it will transfer to your application. Job Title: Open Search – All Research Areas – Statistics Department: Arts and Sciences | Statistics Tenure faculty (regardless
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, network neuroscience, control theory, graph theory, machine learning, artificial intelligence, and statistics applied to human cognition and neuropsychiatric conditions. Preferred candidates will also have
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requirements to develop analysis and data interpretation methodologies; works closely higher level biostatisticians to create datasets for analysis using statistical programming and analysis standards; conducts
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Qualifications Bachelor's Degree in a related field or equivalent experience and 2 years of experience in statistics and GIS systems and analysis. Master's degree in a related field is desired. Ideal candidates
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; consults with study investigators to develop analysis and data interpretation methods; works closely with researchers to create datasets for analysis using statistical programming and analysis standards
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with R, Python, and/or Matlab is plus. Familiarity with diverse and high-performance computing environments is also a plus. Strong background in quantitative skills, including statistical software
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, and mentorship of other junior staff scientists, statistical leadership on multi-center studies, facilitating discussions on statistical issues and potentially sensitive matters with the Center, and/or
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spectral flow Cell culture techniques, including primary cell culture and generating new cell lines Processing a variety of mouse tissues and blood samples Data analysis and other statistical techniques
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management, and facility set up; analyzes, models, and interprets literature and experimental results utilizing statistical or machine learning models as appropriate; assists in preparation of research