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The successful candidate will install, configure, and maintain high-performance computing infrastructure while providing technical support to faculty and researchers. Additionally, they will develop an independent research program, pursue external grant funding, and collaborate on projects involving machine learning and data analysis.
Closing Date:
Sponsorship Available:
The University of Arkansas for Medical Sciences (UAMS) has a unique combination of education, research, and clinical programs that encourages and supports teamwork and diversity. We champion being a collaborative health care organization, focused on improving patient care and the lives of Arkansans.
UAMS offers amazing benefits and perks (available for benefits eligible positions only):
Below you will find the details for the position including any supplementary documentation and questions you should review before applying for the opening. To apply for the position, please click the Apply link/button.
The University of Arkansas is an equal opportunity institution. The University does not discriminate in its education programs or activities (including in admission and employment) on the basis of any category or status protected by law, including age, race, color, national origin, disability, religion, protected veteran status, military service, genetic information, sex, sexual preference, or pregnancy. Questions or concerns about the application of Title IX, which prohibits discrimination on the basis of sex, may be sent to the University’s Title IX Coordinator and to the U.S. Department of Education Office for Civil Rights.Persons must have proof of legal authority to work in the United States on the first day of employment.
All application information is subject to public disclosure under the Arkansas Freedom of Information Act.
For general application assistance or if you have questions about a job posting, please contact Human Resources at askrecruitment@uams.edu.
Department's Website:
Terminal degree in Biomedical Informatics, Computer Science, Data Science, or a comparable scientific or technical discipline.
Experience with system administration in a Linux environment.
Knowledge, Skills & Abilities:
Knowledge of Linux server configuration, including RHEL, CentOS, or an equivalent operating system.
Knowledge of system scripting, security practices, and network protocols.
Demonstrated analytical, troubleshooting, and problem-solving skills.
Ability to work collaboratively as part of a multidisciplinary team.
Ability to work independently, take initiative, and learn emerging technologies.
Preferred Qualifications
Experience working in an HPC environment.
Experience with cluster file systems, job scheduling, workflow management, and resource management tools.
Experience with tools such as Moab, Maui, or TORQUE.
Experience with Singularity, Docker, or other container technologies.
Knowledge of parallel computing techniques, including multithreading and Message Passing Interface (MPI).
Experience with GPU computing and optimizing software for high-performance computing environments.
Experience supporting machine learning, artificial intelligence, data-intensive research, or scientific visualization.
Demonstrated experience developing or contributing to grant-funded research.
Additional Information:
Responsibilities
Install, configure, maintain, and support HPC hardware, software, and related infrastructure.
Provide Linux system administration and operational support for research computing environments.
Troubleshoot technical issues and provide support to faculty, staff, students, and research collaborators.
Collaborate with researchers on machine learning, artificial intelligence, data analysis, data management, and visualization projects.
Assist researchers with optimizing applications and workflows for parallel and GPU-based computing environments.
Evaluate and implement emerging technologies that support advanced computing and research needs.
Develop and maintain an independent research program.
Pursue external grant funding and contribute to collaborative research proposals.
Assist with or lead funding applications supporting the growth and sustainability of the Center for High Performance Computing.
Participate in departmental, institutional, and professional service activities consistent with a faculty appointment.
Salary Information:
Required Documents to Apply:
Optional Documents:
Recruitment Contact Information:
Please contact askrecruitment@uams.edu for any recruiting related questions.
All application materials must be uploaded to the University of Arkansas System Career Site https://uasys.wd5.myworkdayjobs.com/UASYS
Please do not send to listed recruitment contact.
This position is subject to pre-employment screening (criminal background, drug testing, and/or education verification). A criminal conviction or arrest pending adjudication alone shall not disqualify an applicant except as provided by law. Any criminal history will be evaluated in relationship to job responsibilities and business necessity. The information obtained in these reports will be used in a confidential, non-discriminatory manner consistent with state and federal law.
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