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Postdoctoral Associate in Computational Biology

Posted by: University of Virginia

Posted date: Mar-19-2017

Location: Charlottesville, VA

The Center for Public Health Genomics at the University of Virginia is seeking to fill a Postdoctoral Research Associate position in computational biology in the lab led by Dr. Chongzhi Zang. The research in the Zang Lab focuses on developing computational methodologies and designing integrative genomics approaches to study epigenetics and transcriptional regulation of gene expression. Representative projects include: develop novel algorithms for analyzing next-generation sequencing data (e.g. ChIP-seq, ATAC-seq, RNA-seq); design model-based machine-learning or statistical approaches for cross-platform data integration to infer gene regulatory networks; analyze public genomic data to characterize physical and dynamic properties of chromatin epigenomes in mammalian cells and cancer systems. More information on research directions and previous publications can be found at: http://faculty.virginia.edu/zanglab.

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 Zang lab has established extensive collaborations not only within the university with multiple departments, UVA Cancer Center and the Data Science Institute, but also across external academic institutions including universities, national hospitals and federal research institutes.

Founded and designed by Thomas Jefferson, University of Virginia is the one of the most reputable universities in the United States. 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. A successful candidate must have strong programming skills in Python (or C/C++) & R, a strong quantitative background (e.g., statistical modeling, machine learning, computational or theoretical physics, 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.


Application Process

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 the PI, Dr. Chongzhi Zang by email.


The University of Virginia is an equal opportunity and affirmative action employer. Women, minorities, veterans and persons with disabilities are encouraged to apply. 
Job Title Postdoctoral Associate in Computational Biology
Post Details
Email zang(at)virginia.edu
Employer's Website faculty.virginia.edu
Job Discipline Job Discipline -> Bioinformatics
Job Classification Job Classification -> Postdoctoral Researcher
Job Type Job Type -> Full-time
Location Charlottesville, VA
Key Words postdoc, bioinformatics, computational biology, genomics, epigenetics, cancer
Start Date 07/01/2017