Postdoc Research Associate, Genome Sciences

About the role

The Laboratory of Dr. Chongzhi Zang in the Department of Genome Sciences at the University of Virginia (UVA) is seeking to fill multiple Postdoctoral Research Associate positions. The lab's research program focuses on developing computational methods for high-throughput genomics technologies and integrating data science and experimental approaches to study chromatin and gene regulation in mammalian cells and human disease systems.

Responsibilities

• Statistical modeling and advanced machine learning/AI method development for predicting transcriptional regulation from multi-omics data
• Computational method development for single-cell epigenomic sequencing and image-based spatial-omics data analysis
• Computational and experimental studies on chromatin regulation, transcriptional condensates, and liquid-liquid phase separation
• Research on epigenetics and transcriptional regulation in human cancer and immune systems

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.

Preferred Qualifications

• Proficient in Python (or C/C++) & R programming
• 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

Qualifications

• Minimum Qualifications: 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.
• Preferred Qualifications: Proficient in Python (or C/C++) & R programming, 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.

Skills

Not specified

Benefits

This is a 12-month appointment with the possibility of renewal contingent upon satisfactory performance and the availability of funding.

Pay

Salary is commensurate with education and experience.

Schedule

This is an Exempt level, benefited position.

Internal Applicants

Search and apply for jobs on the UVA Internal Careers website.

Application Instructions

To Apply Please apply through Careers at UVA, and search for R0066281. Complete An Application Online With The Following Documents CVCover letterContact information for 3 references. Upload all materials into the resume submission field, multiple documents can be submitted into this one field. Alternatively, merge all documents into one PDF for submission. Applications that do not contain all required documents will not receive full consideration. Internal applicants: Search and apply for jobs on the UVA Internal Careers website. For questions about the application process, please contact Jessica Russo, Academic Recruiter at sxv9zv@virginia.edu. For more information about UVA and the Charlottesville community please see http://www.virginia.edu/life/charlottesville and https://embarkcva.com/ The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA’s commitment to non-discrimination and equal opportunity employment.