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analysis applications such as GraphPad Prism, R, and the Microsoft Office Suite. Eager to broaden scientific knowledge and develop new technical skills. Strong written and oral communication abilities
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infectious disease epidemiology Proficiency in R and Python is required; experience with C/C++, or Java is desirable Other Position Details: Start date: As early as August 1, 2025 Initial term: 1 year, with
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. PREFERRED QUALIFICATIONS: MS in Biostatistics Experience with longitudinal data analysis and large/messy electronic health record (EHR). Proficiency in R and Python (if databases are huge). Proficiency in SQL
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quality checks, and generating reports to monitor enrollment, data collection and data cleaning using REDCap, R and SAS. Develop and revise, as-needed, data collection case report forms (CRFs) and
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two years related experience, OR an equivalent combination of education, training, and/or experience. PREFERRED QUALIFICATIONS: Proficiency in modern high-level statistical languages such as R or SAS
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of human disease in large population-based samples. Demonstrated interpersonal skills and oral and written communication. R and/or SAS programming experience, working knowledge of Unix/Linux file system and
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related field Excellent working knowledge of R and Python Experience in high-throughput omics analyses, especially metabolomics Strong quantitative skills in biostatistics, bioinformatics, environmental
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to conduct analyses in R, Stata, or SAS. Experience cleaning, harmonizing, and managing datasets. Demonstrated ability to work independently and with a team. Demonstrated ability to multitask and prioritize
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) services. Primary referral sources include Neurology, Neurosurgery, Physical Medicine and Rehabilitation (PM&R), and Cardiology. Access to psychometry support is provided and opportunities for collaborative