Postdoctoral Associates in Genomics

Organization
Department of Genetics, Yale School of Medicine
Job Location
333 Cedar Street
Sterling Hall of Medicine
New Haven, CT 06510
Salary
Commensurate with experience
Job Description

Three Postdoctoral Associate positions are available in the Noonan Lab within the Department of Genetics, Yale School of Medicine.

1. We are recruiting a Postdoctoral Associate to identify and experimentally characterize human-specific changes in developmental gene regulation. This project will build on our previous efforts using both 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)). Candidates must have a Ph.D. in Genetics, Neuroscience or a related field, as well as significant experimental expertise in functional genomics or developmental biology. Candidates with experience in implementing massively parallel enhancer assays, mouse models of neurodevelopment, and CRISPR genome editing technologies will be highly competitive for this position.

2. We are also recruiting a Postdoctoral Associate to reconstruct gene regulatory networks associated with autism spectrum disorder (ASD) during neurodevelopment. Genetic studies indicate that loss-of-function mutations in chromatin modifiers are significantly associated with ASD risk.  We recently identified the targets of the ASD-associated chromodomain helicase CHD8 in the mid-fetal human brain, and found that CHD8 directly regulates other genes associated with ASD (Nature Commun. 6:6404 (2015)). We are now expanding these studies to additional chromatin modifiers in order to reveal common regulatory pathways underlying ASD. Candidates must have a Ph.D. in Genetics, Neuroscience or a related field, as well as experimental expertise in functional genomics (notably ChIP-seq).

3. We are also recruiting a Postdoctoral Associate interested in large-scale integrated computational analysis of gene regulatory networks using high-resolution functional genomics datasets in developing tissues. These datasets include cell-type specific measures of gene expression, protein-DNA and protein-protein interaction data in humanized mouse models and mouse models of ASD. 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. 

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