A postdoctoral position is currently open in the group of Dr. Ivan Ovcharenko at the National Institutes of Health (NIH). Our group is investigating gene regulatory mechanisms in the human genome using computational approaches. We are particularly interested in the development of machine learning methods for accurate prediction of disease causative non-coding variants in enhancers and silencers.
We are looking for highly motivated individuals with experience in regulatory/functional genomics, deep learning, and/or statistics. A major component of this work will rely on combining genomic data, machine learning, and whole-genome data integration to decipher the semantics of the gene regulatory code.
Some of our recent publications:
- "Identification of human silencers by correlating cross-tissue epigenetic profiles and gene expression", Genome Research, 2019
- "Stable enhancers are active in development, and fragile enhancers are associated with evolutionary adaptation", Genome Biology, 2019
- "The first enhancer in an enhancer chain safeguards subsequent enhancer-promoter contacts from a distance", Genome Biology, 2019
Strong skills in machine learning / computational biology are desired. A Ph.D. degree is required.
To apply, please email a copy of your CV and the names of three references to Dr. Ivan Ovcharenko (ovcharen@nih.gov).