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Postdoctoral Research Associate

Company Information

The laboratory of Chongzhi Zang at the Center for Public Health Genomics, University of Virginia (UVA) is seeking to fill two (2) Postdoctoral Research Associate positions in the broad field of bioinformatics and computational biology. The research program in the lab focuses on developing computational methodologies and designing integrative data science approaches to study chromatin epigenomics and gene regulation.

Duties and Responsibilities

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. Current ongoing projects include: multi-omics integration-based algorithm development for transcriptional regulation prediction; model-based algorithm development for single-cell epigenomics and spatial multi-omics data analysis; statistical and computational modeling of phase-separated transcriptional condensation; global epigenetic and transcriptional regulation in T-cell immunity and various human cancer systems, etc. More information on research directions and previous publications can be found at the lab website: zanglab.org

Position Qualifications

1. To qualify for the positions, 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 start date;

2. Proficient in Python (or C/C++) & R programming;

3. Excellent communication and teamwork skills;

4. 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.);

5. 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.