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# Research Computing and Data Professional

- **Company:** The University of North Carolina
- **Location:** Gaithersburg, MD, United States
- **Experience:** Experienced
- **Salary:** $91,500.0 - $105,766.0
- **Contract:** Temporary to permanent
- **Skills:** C++ (Programming Language), Computer Programming, Linux, Fortran (Programming Language), Github, Job Scheduling, Python (Programming Language), Unix Shell, User Environment Management, Parallel Computation, Gpu Programming, Slurm, Docker, Programming Languages
- **Published:** July 28, 2026
- **Apply:** https://jobs.chronicle.com/apply/38019111/research-computing-and-data-professional?LinkSource=JobDetails

## About the Role

* Master of Science in a computational or natural sciences discipline and at least two years' of relevant experience; or a bachelor's degree and at least 3 years' of relevant experience; or an equivalent combination of education, training, and relevant experience.
 * Experience with shared memory parallel programming.
 * Experience with Python or R, particularly working in multi-user environment.
 * Proficiency with a high-level programming language such as Python, Fortran, or C++.
 * Proficiency using github and compiling software from source code.
 * Proficiency using a Linux shell environment.
 * Proficiency using a job scheduling system (such as Slurm or LSF).

Preferred Education, Knowledge, Skills & Experience:

 * PhD in computational or natural sciences discipline preferred.
 * Two years of experience using shared HPC resources and experience assisting or training others. (Experience may include time while doing graduate studies.)
 * Experience with GPU programming for scientific/engineering computations.
 * Experience using containerization software (such as docker or apptainer)
 * Two or more years of administrative experience on a Linux platform.
 * Two or more years of software programming experience.
 * Effective written and oral communication skills.
 * Experience working independently with minimal day to day management.
 * Experience working collaboratively with researchers (faculty members and students).
 * Experience working collaboratively with other university stakeholders.



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