The Noonan laboratory is recruiting a Postdoctoral Associate in Computational Biology or Bioinformatics to study the evolution of gene regulation in humans. We are using humanized mouse models and massively parallel enhancer assays to directly identify and characterize human-specific changes in gene regulation during development. These projects build on our previous efforts using comparative genomics to identify human-specific enhancer functions (e.g., Science 321: 1346 (2008)), and comparative epigenomics to directly study regulatory functions in homologous embryonic tissues (e.g., Cell 154:185 (2013), Science 347:1155 (2015)). We are looking for a driven, creative postdoc to integrate these functional genomics datasets with maps of human-specific sequence change to identify genetic drivers of uniquely human biology. Candidates must have a Ph.D. in Bioinformatics, Computational Biology or a related field. Candidates with prior experience in genome-wide data analysis will be highly competitive.