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Job: Computational Genomics postdoc at NCBI, NIH. Bethesda, MD, USA.

A postdoctoral position is available in the research group of Dr. Ivan Ovcharenko at the National Institutes of Health (NIH). Our current research projects include computational studies of epigenetic and sequence-based mechanisms of gene regulation. We are developing computational approaches to decipher the regulatory landscape of the human genome. By combining next generation sequencing data with a large body of experimental enhancer characterization, our computational approaches target transcriptional mechanisms of tissue-specific regulatory signals and cell-type differences in gene regulation.

Candidates with a PhD in Computational Biology, Deep Learning, Population Genetics, Bioinformatics, or a related field and less than 5 years of prior postdoctoral experience are encouraged to apply. Advanced programming and genome data analysis skills are desirable.

Some of our sample publications:

  • S. Li et al., Stable enhancers are active in development, and fragile enhancers are associated with evolutionary adaptation, Genome Biology, 2019
  • D. Huang et al., Identification of human silencers by correlating cross-tissue epigenetic profiles and gene expression, Genome Research, 2019

This position is supported by the Intramural NIH Research Program and includes stable, multi-year funding, outstanding benefits and compensation. NIH is an Equal Opportunity Employer and encourages applications from women and minorities.

If interested, please email your CV and the names of 3 references to Ivan Ovcharenko at ovcharen@nih.gov.

deep-learning genomics

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