The incumbent will assist in computational and statistical analyses in multiple projects in the lab, especially by using large human datasets of next-generation sequencing data using Bash, Python and R languages. The incumbent will work closely with lab members to integrate transcriptomics with genomics, proteomics and epigenomics to better understand how genes work together at a quantitative and systems biology level to alter risk for neurodegenerative and neuropsychiatric disorders. This will include, but not be limited to, analyzing data related to brain development and neurodegeneration from human models.
-B.S. degree or equivalent in Bioinformatics, Computational Biology, Biostatistics, Computer Science, Statistics, or related field, or equivalent
-General working knowledge of molecular biology, molecular genetics, cell biology, human genetics, high-throughput sequencing and/or neuroscience theories and principles.
-Shell scripting and running programs on a supercomputer grid.
-Previous experience in a computational biology lab or field.
-An understanding of statistics including p-values, multiple hypothesis testing, and correlation.
-Experience with a programming language similar to MATLAB or R (though most work will be in R), and Bash; Proficiency in PERL and Python
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