Job:Research opportunity in Computational Epigenomics at the National Institutes of Health, Baltimore, USA
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6 months ago
mia86sung ▴ 10

A Ph.D. scientist position is immediately available at the National Institute on Aging, NIH, for analysis of in-house epigenomics datasets and developing computational methods for an evolving suite of high-throughput sequencing-based assays. The successful applicant will work in the laboratory of Dr. Myong-Hee (Mia) Sung, Transcription Systems Dynamics and Biology Unit located in NIH/NIA Baltimore, Maryland. Due to pandemic-related restrictions, remote work may be arranged until site occupancy limit is lifted at NIH campuses. This is a contractor position which is annually renewable based on performance/progress with no fixed terms.

We are seeking a highly motivated computational scientist who is interested in investigating the effects of aging in the immune system using statistical and bioinformatics tools in epigenomics. The scientist will advise and support all laboratory investigations involving high-throughput sequencing methods for a variety of assays, including RNA-seq, ATAC-seq, DNase-seq, ChIP-seq, MNase-seq, and newly arising methodologies. He/she will be given access to the massive supercomputing cluster ‘Biowulf’ for high performance computing. An ideal candidate will have a Ph.D. degree in computational biology, mathematics, physics, engineering, or a related quantitative discipline, and has some understanding of basic principles in experimental molecular biology or genomics methods. Coding proficiency in two or more programming languages such as C++, Python, R, MATLAB, Perl in a Unix/Linux environment is an essential requirement, in addition to familiarity or experience with commonly used computational genomics tools. Bioinformatics software development experience as evidenced by publicly deposited computational packages will be highly valued.

To apply, please send a cover letter, curriculum vitae, and contact information for 2 references to: sungm@mail.nih.gov . The evaluations of candidates will begin immediately and continue until the position is filled.

Relevant publications from the Sung lab: • Oh KS, Ha J, Baek S, Sung MH: XL-DNase-seq: Improved footprinting of dynamic transcription factors. Epigenetics & Chromatin 2019 12:30 (PMID: 31164146) • Oh KS, Patel H, Gottschalk RA, Lee WS, Baek S, Fraser IDC, Hager GL, and Sung MH: Anti-inflammatory Chromatinscape Associated with Clinically Relevant Timing of Glucocorticoid Treatment. Immunity 2017, 47(2):298-309 (PMID: 28801231) • Sung MH et al. Genome-wide footprinting: ready for prime time? Nature Methods 2016 (PMID: 26914206) • Sung MH et al. DNase footprint signatures are dictated by factor dynamics and DNA sequence. Molecular Cell 2014 (PMID: 25242143)

RNA-Seq next-gen sequencing ChIP-Seq ATAC-seq Job • 435 views
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