Postdoctoral Research Associate in Computational Genomics at University of Virginia
The Center for Public Health Genomics at the University of Virginia is seeking to fill a Postdoctoral Research Associate position in computational biology to work on a variety of projects in a resident faculty laboratory. The research in the laboratory will focus on developing bioinformatics methodologies and designing integrative genomics approaches to study epigenetic regulation of gene expression in human diseases such as cancer. Representative projects include: develop novel algorithms for analyzing next-generation sequencing data (e.g. ChIP-seq, ATAC-seq, DNase-seq); design model-based machine-learning or statistical approaches for cross-platform data integration to infer gene regulatory networks; mine public genomic data to characterize physical and dynamic properties of chromatin and epigenomes in mammalian cells. A complete publication list of the principal investigator can be found at: https://scholar.google.com/citations?user=GV7vSDMAAAAJ.
Established in 2007, the Center for Public Health Genomics at the University of Virginia has been dedicated to addressing contemporary problems in human diseases and the biology of mammalian cells through computational research. The laboratory will have extensive collaboration opportunities both within the university with multiple departments including UVA Cancer Center and across external academic institutions including universities, hospitals and federal research institutes.
Founded and designed by Thomas Jefferson, University of Virginia is the one of the best public universities in the United States, consistently ranked within top 3 by U.S. News and World Report. It is one of the original members of Public Ivies and an early member of the Association of American Universities, an organization of preeminent research universities. The university continues in its mission to develop tomorrow's leaders who are well prepared to help shape the future of the nation and the world.
To qualify for this position, a Ph.D. or equivalent degree in Bioinformatics, Computational Biology, Physical Sciences, Applied Mathematics, Statistics, Computer Science, Engineering, or a related field in hand is required by start date. The successful candidate must have strong programming skills in Python (or C/C++) & R, a strong quantitative background (e.g., mathematical modeling, statistical inference, computational and theoretical physics, machine learning, etc.) or computational genomics experience (e.g., next-generation sequencing analysis, etc.). Excellent oral and written communication skills and the ability to work in a team environment are also required. A publication record of at least one first-author (including co-first author) paper written in English in the previous area of research (not necessarily computational biology) in peer-reviewed journals or conference proceedings with submitted, accepted or published status, is required at the time of application.
To apply, visit https://jobs.virginia.edu and search on Posting Number 0619024. Complete a candidate profile online, attach a brief cover letter, curriculum vitae, contact information for three references, and a one-page proposal for a research project to be conducted during postdoctoral training. The position will remain open until filled.
This position is restricted and contingent on the continuation of funding.
For questions related to the position, please contact Dr. Chongzhi Zang at firstname.lastname@example.org.
The University of Virginia is an equal opportunity and affirmative action employer. Women, minorities, veterans and persons with disabilities are encouraged to apply.