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statistical and machine learning methods for high-dimensional and longitudinal biomedical data. Scientific questions of interest include exploring the (causal) associations between omics data, clinical
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a quantitative field in public health (epidemiology, statistics, health policy). As a part of this work, a strong foundation in programming is essential. We are looking for a person with experience
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-time Staff Associate II (Biostatistician) to aid in statistical analysis and day-to-day data management associated with multiple concurrent research projects of the Aiello Research Group. The Aiello
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support for existing and ongoing studies of the research team including generating manuscripts or academic presentations. Responsibilities Statistical Analysis on principal projects??? 60% Assistance with
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The Heilbrunn Department of Population and Family Health, Mailman School of Public Health is seeking an Associate Research Scientist to serve as the Project Director and the primary statistical
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' CG targets and the potential impact of CG???s project interventions. This includes gathering and analyzing statistical data and information on gaps in services, the competing landscape, potential key
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). Proficiency in using bioinformatics software and tools (e.g., CellRanger, Seurat, deep-learning etc.). Knowledge of statistical analysis methods. Effective communication skills, including the ability to present
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Bachelor's degree and at least 3 years of data analytic and statistical analysis experience. Advanced education/degree may substitute for experience. Good written and oral communication skills. Preferred
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substantial computational skills, including expertise with statistical and scientific programming languages such as R or Python. Key competencies also include excellent oral and written communication abilities
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statistical models, creating presentations, and editing research papers. The fellows will interact regularly with professors and their collaborators. The program serves as an ideal bridge between college and