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Research Computing Facilitator Jobs (NOW HIRING)

Howard University

Cloud Engineer I

Washington, DC · On-site

$63 - $84/hr

Research Computing Support: Configure and manage high-performance computing (HPC) clusters ... facilitate long-term research data retention and sharing. * Performance & Cost Optimization:

Hofstra University

PEARLS Facilitator

Hempstead, NY · On-site

$100/hr

... research that lays the foundation for future personal and professional success. With a beautiful ... Must have computing experience and proficiency with MS Word and Outlook. Preferred Quals Summary

Miamioh

$200K/yr

Facilitate the integration of classical high-performance computing and AI-based GPU systems with quantum processors to support hybrid workflows for medical research. * Guide commercialization efforts ...

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How much do research computing facilitator jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for research computing facilitator in the United States is $23.93, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $26.92 per hour, depending on experience, location, and employer.

How does a Research Computing Facilitator typically support interdisciplinary research teams?

A Research Computing Facilitator plays a key role in bridging the gap between researchers and advanced computing resources. They collaborate closely with scientists from various disciplines to identify computational needs, recommend appropriate tools or platforms, and assist in optimizing workflows. Facilitators often provide training sessions, troubleshoot technical issues, and help translate research goals into technical requirements, ensuring teams can focus on their scientific objectives while leveraging high-performance computing effectively.

What are the key skills and qualifications needed to thrive as a Research Computing Facilitator, and why are they important?

To thrive as a Research Computing Facilitator, you need a strong background in computational science, research methodologies, and often an advanced degree in a STEM field. Familiarity with high-performance computing (HPC) systems, scientific software packages, and programming languages like Python or R is typically required. Excellent communication, problem-solving, and collaboration skills are crucial for effectively supporting and training researchers. These skills are important to bridge the gap between advanced computing resources and research needs, ensuring efficient and impactful scientific outcomes.

What are Research Computing Facilitators?

Research Computing Facilitators are professionals who help researchers effectively utilize advanced computing resources, such as high-performance computing clusters, cloud platforms, and specialized software. They serve as liaisons between research teams and IT staff, providing guidance on workflow optimization, data management, and troubleshooting. Their goal is to make computational tools more accessible and enable researchers to focus on their scientific goals without getting bogged down by technical challenges.

What is the difference between Research Computing Facilitator vs Research Software Engineer?

AspectResearch Computing FacilitatorResearch Software Engineer
CredentialsTypically requires a bachelor's degree in computer science, information technology, or related fieldUsually holds a master's or Ph.D. in computer science, software engineering, or related discipline
Work EnvironmentSupports research teams in academic or research institutions, providing technical assistance and trainingDevelops, maintains, and optimizes research software and computational tools
Employer & Industry UsageCommonly employed by universities, research labs, and academic institutionsFound in research institutions, tech companies, and academia focusing on software development for research

The Research Computing Facilitator primarily supports researchers by providing technical assistance and training in computational tools, while the Research Software Engineer focuses on developing and maintaining research software. Both roles are essential in research environments but differ in their core responsibilities and expertise areas.

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Research Computing Facilitator jobs near you
Infographic showing various Research Computing Facilitator job openings in the United States as of July 2026, with employment types broken down into 83% Full Time, 15% Part Time, and 2% Contract. Highlights an 80% Physical, 3% Hybrid, and 17% Remote job distribution, with an average salary of $49,766 per year, or $23.9 per hour.
Systems Administrator, Lead

Systems Administrator, Lead

Georgia State University

Atlanta, GA • On-site

$79K - $103K/yr

Full-time

Posted yesterday

Georgia State University rating

7.6

Company rating: 7.6 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

258th of 560 rated colleges and universities

Job description

Description:
Systems Administrator, Lead
Georgia State University
Instructional Innovation and Technology
Enterprise Infrastructure
Why Work at GSU?
Join a Top Five Most Innovative Public Institution (U.S. News & World Report, 2026) known for academic excellence, research, and community impact. GSU offers strong career growth, a collaborative culture, and values-driven work.
Why GSU?
• Comprehensive benefits
• Collaborative, growth-focused environment
Why IIT?
• Drives innovation in learning and student success
• Offers growth, cutting-edge tools, and a collaborative team culture
Position Overview:
Georgia State University's Instructional Innovation and Technology (IIT) division is seeking a highly skilled and motivated Systems Administrator, Lead to provide technical leadership for the design, deployment, and lifecycle management of research computing infrastructure. This role is primarily responsible for the architecture and operation of high-performance storage and networking systems , including distributed storage platforms and scale-out NAS.
Other responsibilities include ensuring infrastructure security and compliance with research data requirements, designing tiered storage strategies for home, project, scratch, and object storage, optimizing performance for research workloads, and implementing quotas, replication, lifecycle management, and disaster recovery capabilities while supporting both POSIX and S3-compatible access.
Candidates must demonstrate hand-on experience working in LINUX and High-Performance Computing environments , possess some level of scripting/coding knowledge , and demonstrate understanding of scientific computing workloads and needs - this is a strict requirement for consideration.
This role requires practical expertise in designing, deploying, and maintaining large-scale distributed storage systems and network infrastructure associated with storage systems , including experience debugging issues related to networking and storage systems. Only candidates with this level of hands-on experience will be considered.
NOTE: This role requires on-site work. Remote or hybrid work options are not available for this position.
Key Responsibilities
The scope of responsibilities for this position will include, but is not limited to, the following:
Storage, Network, and Infrastructure Standards
• Provide technical leadership for research computing infrastructure to ensure scalable, reliable, and high - performance services
• Design, deploy, and manage enterprise storage and networking solutions that support data - intensive and high - performance research
• Align infrastructure architecture and standards with evolving research and institutional needs
Enhancements
• Enhance, modify, test, analyze and adapt existing systems across multiple platforms and tools, including virtual infrastructure tools, Kubernetes, High-Performance Computing clusters, network infrastructure, storage systems, and software infrastructure including observability platforms.
• Resolve complex system issues to maintain service stability and availability, which involve capacity planning and incident response.
Documentation
• Produce and maintain clear technical documentation and procedures to support information technology tools and solutions across multiple platforms for customers.
• Implement secure infrastructure practices aligned with research data compliance requirements (e.g., NIST 800-171).
• Support identity and access integration with institutional systems and ensure secure communication, auditing, and monitoring capabilities.
Solutions
• Deliver infrastructure solutions that expand or improve research computing capabilities.
• Increase operational efficiency through automation and standardized deployment practices.
• Ensure computing, storage, and networking systems are consistently configured and maintainable across platforms.
Research
• Identify and assess emerging technologies that can advance research computing capabilities.
• Collaborate with researchers, cyberinfrastructure facilitators, and IT teams to identify and support computational research needs.
• Mentor system administrators, contribute to technical planning for research initiatives, and participate in regional or national research computing collaborations.
Application Deadline: Applications must be submitted by June 30, 2026 (subject to change without notice).
Disclaimer:
This job requisition provides a high-level job definition. It is not intended to provide a comprehensive or exclusive list of job duties.
As such, job duties and/or responsibilities within the context of this job requisition may change at the discretion the employee's direct supervisor.
Qualifications:
Minimum Hiring Qualifications:
Bachelor's degree and three years of related experience, or a combination of education and related experience.
Preferred Hiring Qualifications:
NOTE: Preference will be given to candidates who also demonstrate:
• Hands-on experience with distributed high-performance storage systems
• Hands-on experience with networking systems, such as ethernet and InfiniBand
• Hands-on experience with computing systems and observability platforms systems
• Experience with implementing, maintaining, and complying with security standards, such as NIST 800-171
• Experience working with Kubernetes, HPC Systems, OpenStacks
• Hands-on experience working with large-scale backup solutions
• Experience with Cloud and AI environments
• Exposure to National Cyberinfrastructure

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