Description
Our lab is seeking to fill a Postdoctoral Research Associate position in the broad field of bioinformatics and computational biology. The research program in the lab focuses on developing computational methods for high-throughput genomics technologies and integrating computational and experimental approaches to study chromatin and gene regulation in mammalian cells and human disease systems. Current ongoing projects include: statistical modeling and advanced machine learning method development for transcriptional regulation prediction from multi-omics data; model-based algorithm development for single-cell epigenomics and spatial multi-omics data analysis; computational and experimental studies of chromatin regulation, transcriptional condensates, and phase separation; epigenetics and transcriptional regulation in human cancer and immune systems, etc. More information on research directions and recent publications can be found on the lab website.
The Zang Lab is well funded by NIH and other agencies. Each postdoctoral scientist in the lab will receive comprehensive and personalized training in research and career development, and will have extensive opportunities for independent and collaborative research. Based at the Department of Genome Sciences in UVA School of Medicine, the lab has established close collaborations with multiple groups in the field across the country.
Founded by Thomas Jefferson, University of Virginia is the first public university in the United States and is one of the most reputable research universities in the country. 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.
Requirements
A Ph.D. or equivalent degree in any quantitative science, including but not limited to Bioinformatics, Computational Biology, Applied Mathematics, Statistics, Physics, Chemistry, Computer Science, Data Science, Engineering or a related field is required by the start date;
Proficient in Python (or C/C++) & R programming;
Excellent communication and teamwork skills;
Strong quantitative background (e.g., statistical modeling, machine learning, computational or theoretical physics, etc.) or computational genomics experience (e.g., high-throughput sequencing data analysis, etc.);
At least one peer-reviewed publication written in English in the previous area of research (not necessarily related to biology) with submitted, accepted or published status at the time of application.
Application Process
To apply online, please click here and submit a complete application in the system. Meanwhile, interested applicants can send a complete CV and the contact information for three references to zang@virginia.edu with subject line "Postdoc Application". The position will remain open until all positions are filled.
All positions are restricted and contingent on the continuation of funding. For questions or inquiries, please email zang@virginia.edu.