- Location
- UAMS, United States of America
- Workplace
- Remote
- Type
- Full-time
- Department
- Education
- Visa
- Not sponsored
- Closing date
- Today
- Source
- Workday
Description
Current University of Arkansas System employees, including student employees and graduate assistants, need to log in to Workday via MyApps.Microsoft.com, then access Find Jobs from the Workday search bar to view and apply for open positions. Students at University of Arkansas System will also view open positions and apply within Workday by searching for “Find Jobs for Students”.
All Job Postings will close at 12:01 a.m. CT on the specified Closing Date (if designated).
If you close the browser or exit your application prior to submitting, the application process will be saved as a draft. You will be able to access and complete the application through “My Draft Applications” located on your Candidate Home page.
Closing Date:
Type of Position:
Faculty - Tenure/Tenure Track
Job Type:
Regular
Work Shift:
Sponsorship Available:
Institution Name:
University of Arkansas for Medical Sciences
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):
- Health: Medical, Dental and Vision plans available for qualifying staff and family
- Holiday, Vacation and Sick Leave
- Education discount for staff and dependents (undergraduate only)
- Retirement: Up to 10% matched contribution from UAMS
- Basic Life Insurance up to $50,000
- Career Training and Educational Opportunities
- Merchant Discounts
- Concierge prescription delivery on the main campus when using UAMS pharmacy
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 [email protected].
Department:
COM | Biomedical Informatics
Department's Website:
Summary of Job Duties:
The UAMS Department of Biomedical Informatics is a vibrant environment for research. It hosts multiple National Institutes of Health and National Cancer Institute (NIH/NCI) funded projects and provides biomedical informatics insights to the entire UAMS community. The expertise and research interests of the Department of Biomedical Informatics (DBMI) faculty cover multiple key disciplines of Biomedical Informatics, including Imaging Informatics, Bioinformatics, Clinical Research Informatics, and Semantic Web technologies in the life sciences.The University of Arkansas for Medical Sciences (UAMS) has a unique combination of education, research, and clinical programs that encourage and support teamwork and diversity. We champion being a collaborative health care organization, focused on improving the health, health care, and wellbeing of Arkansans.
The University of Arkansas for Medical Sciences (UAMS) maintains high performance computing facilities for research use by faculty and staff, as well as collaborators across the UA system. The UAMS Department of Biomedical Informatics (DBMI) provides all system administration and operations support functions for HPC on the UAMS campus. UAMS is collaborating to build statewide capacity for high-performance computing and the advanced digital infrastructure needed to support AI research. The long-term goal is to establish sustainable, powerful computing resources designed for AI workloads to support research and analytics.
The ideal candidate will assist with the installation, configuration, and maintenance of the HPC software and hardware, provide technical support and troubleshooting for the users and work with research faculty, staff, and students to provide specialized expertise in new fields such as ML/AI, data manipulation and analysis, and visualization.
As a faculty member in Biomedical Informatics the successful candidate will be expected to acquire grant funding to support their independent research agenda and to assist or lead applications for funding to support and expand the Center for High Performance computing.
Qualifications:
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:
Special Instructions to Applicants:
Recruitment Contact Information:
Please contact [email protected] 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.
Pre-employment Screening Requirements:
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.
