Computational Scientist / Research Computing Associate
The Computational Scientist/Research Computing Associate supports the University of Virginia School of Medicine faculty and researchers by translating scientific research needs into computational solutions and providing expertise in advanced computing infrastructure.
- Support the SOM research community by providing research computing infrastructure and user services
- Develop and implement computational solutions utilizing UVA computing resources to enable and enhance analysis of data generated by the research community
- Follow new developments in bioinformatics and computational biology, and investigate new computational and data analysis technologies for the needs of the research community
- Provide training and outreach to the research community in the use of computational tools and technologies supported by Research Computing
- Will work closely with ITS-RCI (Research Computing Infrastructure) team and other research computing units at the university and develop partnership through collaboration
Required Education & Experience:
- Bachelor’s degree in life sciences, computer science, informatics, engineering, related field or equivalent work experience.
- 3 years overall experience in IT and/or Science required, including 2 years of Linux and HPC platform
- Experience with genomics, bioinformatics, and/or computational biology research
- Knowledge and experiences in bioinformatics applications and data analysis tools
- A demonstrable level of proficiency with high-level programming languages and/or Unix/Linux shell scripting
- Experience with R, Python and/or Matlab programming for statistical data analysis and/or machine learning
- Passion for providing high-quality services and supporting academic researchers
- Broad knowledge of computer science, IT technology trends and ability to effectively apply the knowledge to UVA’s HPC environment
- Ability to learn new technologies quickly and work on multiple projects simultaneously.
- Strong communications skills and must be a team player
- User training experience in computational science and bioinformatics
- Broad knowledge of computer science, IT technology trends, and ability to effectively apply the knowledge to UVA’s HPC environment
- Advanced degree in life science, computer science, or related areas is preferred
- Substantial knowledge of life sciences and excellent verbal and written communication skills for successful interaction and engagement with a demanding user community.
- Experience with high-performance computing systems and its software environment and cluster software stack management.
- Experience in GPU programming and/or other accelerator programming
- Knowledge and experiences in Cloud solution development & implementation for life science applications using AWS, GCP and/or Azure
- Experience with SQL-based RDBMS system utilization
- Experiences in image analysis & visualization programming
For more information or to apply, review the Jobs@UVa position description.