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an individual with strong statistical and computing backgrounds. Successful applicants should have a Ph.D. degree in epidemiology (or biostatistics or a related field). Strong programming skills in R are required
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the use of R and/or Python Basic understanding of statistical modeling, and machine learning Understanding of high-throughput sequencing techniques including whole genome, whole exome, targeted capture, RNA
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, statistics, and scientific paper writing. - Successful experience during graduate school (e.g. with publications and presentations) is required Required Application Materials: - CV - One-page statement
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molecular biology measurements and carry out sound statistical analyses; Other essential qualifications include excellent oral and written English-language communication skills. Required Application Materials
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. The individual should possess the ability to conduct independent molecular biology measurements and carry out sound statistical analyses; Other essential qualifications include excellent oral and written
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Qualifications: • Ph.D. in epidemiology, public health, economics, health policy, health services research, or a related field. • Strong quantitative and analytical skills, with proficiency in statistical software
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(for statistical modeling or data analysis), as both will be actively used in the research workflow. Importantly, this position requires the ability to deeply engage with clinical free-text data—often complex
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) cost-effectiveness analysis. Required Qualifications: We seek an individual with solid statistical and computing backgrounds. Successful applicants should have a strong background in biostatistics and
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outstanding resource to apply biomedical statistical tools for data analysis for our groups' ongoing preclinical work and tissue assays. Perform RNA sequencing, including bulk sequencing, single-cell sequencing
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is preferred. Familiarity with psychological concepts and/or experience with human subject data is preferred. Profound experience in statistical and computational approaches. Experience with R