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, organize, and assist in analyzing experimental data; utilize statistical software to draw meaningful conclusions and generate reports. Perform basic bioinformatics tasks. Process blood specimens. Maintain
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in Bioinformatics, Statistical Genetics, Data Science, or Genetic Epidemiology. A postdoctoral position is immediately available to work on multiple NIH-funded projects on the Genetic Epidemiology
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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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-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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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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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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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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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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, time, and other resources to pursue independent ideas, including the development of novel statistical methods. full support and assistance with fellowship and research grant applications (e.g. K99
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school visits on campus and managing group tours on campus, maintaining statistics regarding number of visitors; providing administrative and secretarial support to the Managers; and maintaining an office