| Posting Summary: A new computational biology research group in the Center for Public Heath Genomics at the University of Virginia led by Nathan Sheffield is recruiting a Wage Scientific Programmer with skills in Python and/or R.|
The group (http://www.databio.org) occupies wet and dry lab space in the Center for Public Health Genomics. We are also affiliated with the Departments of Biomedical Engineering and Public Health Sciences in the School of Medicine, as well as the Data Science Institute and the Child Health Research Center. These affiliations across Grounds demonstrate the interdisciplinarity and collaboration priority of the group. We make use of Rivanna, UVA's high-performance cluster, for computational analysis. Our research is centered around using advanced computation to answer biological questions; Projects vary in biological emphasis, including epigenomics, cancer biology, epigenetics, differentiation, and single-cell analysis. If these topics excite you, please read more about our research interests and open source philosophy.
The Scientific Programmer will have two primary responsibilities:
1. Contributing to high quality bioinformatics software. The programmer will be responsible for improving methods developed within our group, such as generalizing them to build robust software that is useful beyond the initial project. This will include code review and will potentially include building web-accessible user interfaces to increase outside access.
2. Processing large biological data sets through computational pipelines. This will require curating raw input data, documenting data in biological projects, configuring software, and using local supercomputing resources (SLURM) to process the data. This will include monitoring and improving pipeline performance and developing reports to describe data quality and summarize results. The programmer will curate hundreds of terabytes of raw and processed disk space and work with professional systems administrators.
Applicants must be team-oriented with coding experience, interested in either building bioinformatics applications or analyzing large biomedical datasets, and willing to work with biological data and communicate with biologists. Computational experience with scripting in R or Python is required. Skill with C++, object-oriented programming, and git is preferred, but not required. Knowledge of biology is a plus, but not required. Most important is a willingness to contribute to team projects (such as building communal software) and demonstrated commitment to sharing software and data with the community. Candidates at all levels are acceptable. Experience level (undergraduate, bachelor's degree, or master's degree) is less important than coding skills, work ethic, and interest in working with a team.
To apply, visit https://jobs.virginia.edu and search on Posting Number 0619750. Complete a Candidate Profile on-line. Attach 1) a CV/resume; 2) a cover letter including your career goals, what you think you would gain from experience in our group, why you think you would fit in well, what you would contribute, your biggest ideas for what projects or types of projects you find exciting, and a link to GitHub or other public repository with code you showcase; 3) a statement of Research Interest; and 4) contact information for three references.
This 40-hour/week wage position is restricted, limited to 1500 hours per year, and contingent upon the continuation of funding. The position will remain open until filled.
The University of Virginia is an equal opportunity and affirmative action employer. Women, minorities, veterans, and persons with disabilities are encouraged to apply.
Required Minimum Level of Education: High School Diploma or Equivalent Required
Required Specific Degree/Training: Candidates at all levels are acceptable. Experience level (undergraduate, bachelor's degree, or master's degree) is less important than coding skills, work ethic, and interest in working with a team.
Required Minimum Level of Experience: Some - up to 4 years
Required Specific Experience: -Computational experience with scripting in R or Python
Preferred Specific Experience: -Experience with C++, object-oriented programming, and git
Required Knowledge, Skills and Abilities: -A willingness to contribute to team projects (such as building communal software) and demonstrated commitment to sharing software and data with the community
Preferred Knowledge, Skills and Abilities: -Knowledge of biology
Required Computer Applications: -Computational experience with scripting in R or Python