Are you interested in research at the exciting interface of computation and biology? Are you excited by the challenge of discovering new knowledge from large biological datasets to make a difference in basic science and in human health? A computational biology research group in the Center for Public Heath Genomics at the University of Virginia led by Nathan Sheffield is recruiting individuals with an interest in team-oriented computational biology.
About the lab
The group (http://www.databio.org) occupies wet and dry lab space in the Center for Public Health Genomics at UVA. We are an interdisciplinary and highly collaborative group, and therefore we are also affiliated with with several other entities at UVA, including the Department of Biomedical Engineering in the School of Engineering, and Departments of Biochemistry and Molecular Genetics and Public Health Sciences in the School of Medicine, as well as the Data Science Institute and the Child Health Research Center.
Our research is at the interface of computation and biology, drawing on techniques in computer science, data science, bioinformatics, and machine learning, and applying them to biological questions in cancer, epigenetics, single-cell analysis, development, and genomics. We collect both novel data and public data for and make use of UVA’s high-performance cluster for computational approaches to biological questions.
Our biological questions are focused on understanding gene regulation and epigenetics in cancer and development. How does DNA encode regulatory networks that enable cellular differentiation? We rely on experimental data from sequencing-based epigenome experiments like ATAC-seq, bisulfite-seq, and ChIP-seq, and we use these data to study pediatric cancer, neuroimmunology, and other models to explore fundamental principles of regulatory DNA.
Teamwork is our foundation. We are trying to build a team of intelligent, creative people who are interested in working together to accomplish great things. We collaborate with other research groups extensively. We emphasize social coding, using GitHub to share code both within the group and so others can benefit from our work. Writing readable, reusable code pays off as we accumulate useful code and re-apply it to new biological systems. We challenge the norm in academic computational research of individual scientists writing isolated code, and instead push open, multi-author code development.
About the university
The University of Virginia, founded by Thomas Jefferson in 1819, is the only collegiate UNESCO World Heritage site in the US. It located near Shenandoah National Park in the beautiful foothills of the Appalachian Mountains in Charlottesville, Virginia. UVA routinely ranks in the top 3 public universities in the United States, with a co-located School of Medicine and a top-tier environment for research. Charlottesville is also a great place to live. If you’re unfamiliar with area, please read the many reasons you should consider coming to UVA.
Interested in joining?
I’m recruiting team-oriented postdocs with experience in computational research. Applicants should be familiar with skills listed on my page of skills and training materials.
- PhD in bioinformatics, computer science, biomedical engineering, genomics, or related field.
- Computational experience with linux command-line systems, R and/or Python, and git is preferred.
- Biological understanding in epigenomics or related field, as evidenced by first-author publications in high impact journals. Exceptional applicants from other fields who wish to transition to computational genomics will be considered.
- Willingness to contribute to team projects (such as building communal software) and demonstrated commitment to sharing software and data with the community.
Include with your application:
- Your CV, including education and publication history
- Your career goals, and what you think you would gain from experience in our group
- Why you think you would fit well, and what you would contribute
- Your biggest ideas for what projects or types of projects you’d like to work on
- A link to GitHub or other public repository with code you showcase, or other demonstration of your commitment to sharing
- Contact information for 3 references
- Your ideas for sources of funds for your postdoctoral research (secured funding is not a prerequisite, but ambition is favorable)
The University of Virginia is an equal opportunity and affirmative action employer. Applications will be reviewed on a rolling basis and the position will remain open until filled.
This position is posted at http://databio.org/computational_biology_postdoc.html and is active as of December 2017.
Informal inquiries and application materials should be directed to the attention of Dr. Nathan Sheffield at , and for complete consideration, application materials must also be submitted at the official UVA application system (posting number 0619301).