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next generation sequencing data (e.g., RNA-seq, whole genome/ exome sequencing). Uses state-of-the-art bioinformatical and statistical tools. Develops new statistical methods to answer biological
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to participate in multiple environmental epidemiology studies and lead projects from study design and implementation to data collection, statistical analysis, and publication. The fellow will also be encouraged
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Qualifications PhD in Bioinformatics, Computational Biology, Statistics, or a related field. Strong programming skills in R and/or Python, and familiarity with bioinformatics tools, databases, and resources
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evolution and statistical modeling of outcome following treatment. Develops new and innovative strategies for the analysis of cutting-edge single cell transcriptomic datasets to investigate gene function