The Center for Public Health Genomics (https://med.virginia.edu/genome-sciences/) at the University of Virginia is looking for a Research Support Assistant Professor in the laboratory of Dr. Chongzhi Zang. Dr. Zang’s work focuses on computational biology and functional genomics at the cutting edge of genomics, epigenetics, and high-throughput molecular ‘omics research.

Duties & Responsibilities: The successful candidate will join a collegial and productive research team focused on developing computational methods for high-throughput genomics technologies using quantitative models, statistical methods, and implementation of integrative data science approaches to study chromatin epigenetics and transcriptional regulation of gene expression in model cell systems and human diseases such as cancer. Analytical responsibilities will include development and implementation of innovative computational methods, algorithms, software tools, analysis of high-throughput data from advanced genomics technologies, develop methods for single-cell multi-omics data using machine learning techniques, and develop computational models to explore mechanisms underlying transcriptional regulation.

1. Ph.D. or equivalent degree in bioinformatics, computational biology or a field related to quantitative and biomedical sciences.

2. At least 3 years of experience after completion of the doctoral degree, with research experience in computational epigenomics and high-throughput omics data analysis.

3. Experience of both independent computational biology research and collaborative biomedical research.

4. Proficient in Python and R programming and familiar with machine learning techniques.

5. Experience in mentoring junior scientists and trainees (graduate and undergraduate students).

6. At least three first-author or senior-author publications in peer-reviewed journals in the related research field.

7. Academic communication skills and teamwork skills. Experience of grant writing and grant acquisition is preferred.

Apply via Interfolio (http://apply.interfolio.com/151907) with the following documents:

• Brief cover letter outlining relevant expertise and scientific interests

• Curriculum vitae, including a full list of publications

• Contact information for three references

The University of Virginia, including the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physicians 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, pregnancy, sexual orientation, veteran or military status, and family medical or genetic information.

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