-
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
-
, scRNAseq, and proteomics datasets. There will also be opportunities to develop statistical methods and computational pipelines to streamline and improve the analysis and trainees on clinically impactful
-
and implementation of experiments to modulate neuronal function, and design of custom computational analysis code including statistical analyses. Other duties include scientific publication and
-
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
-
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
-
, immunofluorescence, western blots, real time PCR, etc. Uses graphical and statistical computer software (e.g. Excel, Adobe Illustrator, ImageJ, GraphPad Prism) to analyze, critically interpret, summarize and present
-
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