Post Doctoral Research Associate in Functional Genomics and Epigenomics

The laboratory of Chongzhi Zang at the Center for Public Health Genomics, University of Virginia (UVA) is looking to recruit a Postdoctoral Research Associate in the field of functional genomics and epigenomics. 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 transcriptional regulation and chromatin biology; epigenetics and transcriptional regulation in T-cell immunity and human cancer, etc. More information on research directions and previous publications can be found at the lab website : zanglab.org .

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 Center for Public Health Genomics in UVA’s School of Medicine, the lab has established close collaborations with multiple groups in the field across the country. Experimental postdocs in the lab will have opportunities to collaborate with and be co-mentored by senior experimental faculty in the center and across the school.

Founded by Thomas Jefferson, University of Virginia is the first public university and one of the most reputable research universities in the United States. 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.

Qualifications:

• Ph.D. or equivalent degree in biological or biomedical sciences is required by start date
• Professional training and experience in experimental cellular and molecular biology
• Excellent communication and teamwork skills
• At least one peer-reviewed publication from PhD research as a lead author written in English with submitted, accepted or published status at the time of application
• Experience in cell culture, high-throughput genomics and epigenomics assays such as RNA-seq, ChIP-seq, ATAC-seq, CRISPR, and single-cell experiments is a plus
• Understanding the synergy of computational and experimental research and commitment to collaboration and team science is a plus

To Apply

Visit the UVA job board https://uva.wd1.myworkdayjobs.com/UVAJobs, and search for " R0036405 ". Complete the application and see below for documents to attach:

• CV
• Cover Letter
• Contact information for 3 references

Please note multiple documents can be submitted in the CV/Resume Box. Applications that do not contain all of the required documents will not receive full consideration.

The position is restricted and contingent on the continuation of funding. Please direct any questions or inquiries to zang@virginia.edu . The position will remain open until filled.

For further information regarding the application process, please contact: Rhiannon O'Coin at rmo2r@virginia.edu

The selected candidate will be required to complete a background check and health assessment per University policy

The University of Virginia, i ncluding the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician’s Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences. We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.