University of Virginia Hiring for Research Computing Associate/Computational Scientist at Charlottesville, Virginia Full Time

The University of Virginia’s Office of the Vice President for Research seeks a Research Computing Associate/Computational Scientist to join their team. The incumbent acts as a technical resource for University faculty and researchers, translating between scientific research needs and computing solutions for the UVa Research Computing (https://rc.virginia.edu) team.

The incumbent will provide technical support for RC’s computing and storage services, create internal and user facing technical documentation, and assist senior staff with expanding educational and consulting offerings in their field of expertise, such as bioinformatics, data science, machine/deep learning, and database usage.

The ideal candidate will have a passion for providing high-quality services and enjoy supporting and educating academic researchers, have some experience with academic computing, and be able to apply those skills to UVA’s HPC environment. We seek an energetic self-starter and quick learner who enjoys technical problem solving and working on multiple projects simultaneously, has strong communication skills, and is a team player. The ideal candidate will have research experience in at least one of these areas: bioinformatics, data science, machine learning/deep learning.

We offer flexible telecommuting options, a friendly and diverse work environment in a small group (less than 25 staff), a hands-off management style, and a supportive workplace. Funding is available for a limited amount of travel for professional development.

Minimum Requirements:

• Bachelor’s Degree in life science, data science, engineering, or a related area.

• At least three years of experience. Relevant experience may be considered in lieu of a degree.

Preferred Education and Experience:

• An advanced degree in life science, data science, engineering, or a related area is preferred.

• At least 2 years of experience with R, Python, or Matlab programming for data analysis and/or machine learning/deep learning.

• Experience with Linux, including basic shell scripting.

• Familiarity with using database management systems (e.g. SQL, PostgreSQL, or MongoDB).

• Experience with high-performance computing.

• Teaching or user training experience in any computational research domain is a plus.

• Familiarity with computational bioinformatics workflows or deep learning frameworks (e.g. TensorFlow/Keras or PyTorch) is a bonus.

• Familiarity with software container technology is a plus.

Application Instructions: Please apply through Workday (http://uva.wd1.myworkdayjobs.com/UVAJobs) and complete an application online. Include the following documents:

• A CV/resume

• a cover letter

All documents can be loaded into the resume submission field, multiple documents can be submitted into this one field. Internal applicants must apply through their UVA Workday profile. Incomplete applications will not be considered.

For questions about and assistance with the application process, please contact Margaret Weeks ([email protected]) , Academic Recruiter. Before a formal offer of employment is extended, the selected candidate will undergo a background check per university policy. This position cannot offer sponsorship.

Physical Demands

This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs.

COVID Vaccination Requirement and Guidelines

Please visit the UVA COVID-19 Job Requirements and Guidelines (https://hr.virginia.edu/uva-covid-19-job-requirements-and-guidelines) webpage prior to applying for current information regarding vaccination requirements and guidelines for employment at UVA.

The University of Virginia, i ncluding the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician’s 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 (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.

The University of Virginia is an iconic public institution of higher education, boasting nationally ranked schools and programs, diverse and distinguished faculty, a major academic medical center, and proud history as a renowned research university.

In January of 1819, the Commonwealth of Virginia’s General Assembly chartered what would become the University of Virginia. Entering our third century, the University has served Virginia, the nation, and the world by: educating responsible citizen-leaders; advancing, preserving, and disseminating knowledge; and providing world-class patient care. These responsibilities are enduring and continue to inspire our efforts.

The UVA Health System is renowned for providing outstanding patient care, educating tomorrow’s health care leaders, and discovering new and better ways to treat diseases. The UVA Medical Center and Physicians Group, School of Medicine, and School of Nursing are recognized for their excellence in patient care, education, and research.

At UVA, we offer a rich collection of benefits, which have long been recognized and valued for their comprehensiveness and competitiveness in the market. In addition to a robust array of traditional benefits such as health care, time off, and retirement, UVA offers an array of other benefits and services to support faculty, staff, and UVA Health team members with their personal and family needs.

We are committed to a policy of equal opportunity for all persons and welcome diversity in all forms. For more information on the University of Virginia and the surrounding area, visit our Why UVA (https://hr.virginia.edu/careers-uva/why-uva) and Why Charlottesville (https://hr.virginia.edu/careers-uva/why-charlottesville) webpages