19 Statistics research jobs at University of Southern California in america in United States
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as well as phase 2 and phase 3 clinical trials in AD. The ATRI Biostatistics Section is looking to expand its statistical team in San Diego. This position will involve both methodological and applied
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A postdoctoral research position in statistical and population genetics is available at the USC Center for Genetic Epidemiology. The postdoctoral fellow will work directly with Dr. Arun Durvasula
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spatial omics, using R or Python; experience with these datasets is helpful but not required Preparing statistical reports and presentations Presenting findings at regional or national scientific meetings
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/evaluation Communication -- written and oral skills Conceptualization and design Organization Planning Problem identification and resolution Project management Research Statistical analysis Skills: Machine
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interests related to unsheltered homelessness and street medicine, and didactic experiences may be obtained through multiple departments at USC. Exceptional organizational, communication, statistical
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: Applicants must have graduated from a doctoral program with a focus on health policy, public health, economics, demography, sociology, public policy, or a similar discipline. Training in methods/statistics
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of Medicine. The MancusoLab aims to develop novel computational and statistical approaches to understand the genetic etiology of complex diseases. This includes integrating molecular phenotypes (e.g., gene
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populations, and offers exceptional resources and collaborative opportunities for postdoctoral fellows. In particular, we work closely with research groups focusing on genetic epidemiology, statistical and
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populations. In this position, we are looking for a postdoctoral researcher with strong computational background for method development in population and statistical genetics. The position is funded by an NIH
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Antiepileptogenic Therapy (EpiBioS4Rx). The innovative mathematical and statistical techniques that she has developed show significant, promising contributions to visualize complex associations among multiple