Learning Systems Administrator

Edtech.com's Summary

Oberlin College and Conservatory is hiring a Learning Systems Administrator. The role involves managing and maintaining the campus High-Performance Computing (HPC) cluster, administering academic and research software, and collaborating closely with faculty and students in STEM and research fields to support and advance the college's research initiatives.

Highlights

Administer and optimize on-prem HPC cluster and related research computing infrastructure.
Serve as primary administrator for academic and research software including WebMO, RStudio, Prism, ChemDraw, and others.
Collaborate with faculty to support HPC needs, troubleshoot issues, and provide technical guidance.
Implement security measures aligned with IRB requirements and higher education data privacy standards.
Provide technical support for Linux-based systems and research-oriented applications.
Develop and deliver training materials, workshops, and documentation for HPC and research computing.
Participate actively in the HPC Sub-committee within the EdTech Committee and collaborate across CIT departments for data governance and cybersecurity compliance.
Required qualifications include a bachelor's degree in computer science or related field, 3 years of system administration experience focusing on Linux and HPC, and proficiency with HPC systems, job scheduling, and shell scripting.
Desired qualifications include a graduate degree, college-level teaching/research experience, and familiarity with HPC scheduling tools and software like WebMO, RStudio/Posit, Prism, MaxQDA, and MATLAB.
Compensation is commensurate with experience and includes a benefits package with tuition benefits for eligible children.

Learning Systems Administrator Full Description

Jobs at Oberlin

Learning Systems Administrator

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Posting Details

Announcement Information

Job Summary	Oberlin College and Conservatory is renowned for its commitment to academic excellence and innovation in higher education. We are seeking a skilled and dedicated Learning Systems Administrator, with a special focus on high-performance computing (HPC) for academic and research initiatives.
Responsibilities	This individual will manage and maintain the campus High-Performance Computing (HPC) cluster, serve as the primary administrator for academic learning & research software (e.g., WebMO, RStudio, Prism, ChemDraw, and others), and collaborate closely with faculty and students in Oberlin’s STEM & research fields. This role will support and advance Oberlin’s research environment, build strong partnerships with faculty, and provide a service-oriented approach integral to facilitating cutting-edge research and academic excellence at Oberlin. This isn’t just a technical role, it’s an opportunity to join a learning community, serve as a research ally, and actively contribute to shaping Oberlin’s research future through high-performance computing (HPC), academic software, and cross-functional collaboration.
Essential Job Functions	1. High-Performance Computing (HPC) and Research Support Administer and optimize Oberlin’s on-prem HPC cluster and related research computing infrastructure, ensuring the security and stability of HPC systems for research purposes. Collaborate with faculty to support the HPC needs of research groups, manage user access, troubleshoot issues, and provide technical guidance for both new and experienced users. Implement security measures and comply with institutional data governance standards for research computing, ensuring alignment with IRB requirements and higher education data privacy regulations. Assist faculty with research software installation, configuration, and executing data jobs, including terminal-based commands and shell scripting, guiding them in effective usage and troubleshooting of the cluster. Serve is primary point of contact to the college’s HPC vendor. Measures of Success in HPC & Research Support: If you’re managing the HPC cluster for users with varying experience levels, then you’ll prioritize security, stability, and approachable guidance. If a faculty member needs help configuring a complex bioinformatics workflow, then you’ll troubleshoot collaboratively, translating terminal commands into learning moments. If emerging research trends require new infrastructure, then you’ll evaluate solutions pragmatically and design implementation plans aligned with institutional goals. 2. Learning Systems Administration and Technology Support Install, configure, and maintain server hardware and software for HPC and research computing; ensure regular system updates, backups, and performance optimization. Provide technical support for academic and research-related software applications, with a focus on Linux-based systems and other research-oriented tools. Support the use and integration of academic learning applications, such as WebMO, PosIt Cloud, Prism, ChemDraw, etc. critical to courses and research initiatives. Plan and execute HPC infrastructure projects in alignment with the college’s academic and administrative goals; evaluate and recommend upgrades and improvements as needed. Measures of success in Learning Systems Administration and Academic Technology Support: If servers, research applications, and Linux-based systems demand updates or attention, then you’ll address them proactively with clean documentation and system resilience. If an instructor needs help getting with academic software for a course or research method, then you’ll not only install and configure but empower them with guidance they can pass along to students. 3. Community Building, Training, and Outreach Cultivate and maintain collaborative relationships with faculty, instructional staff, and students in the academic research community, fostering a consistent, customer-focused approach to HPC and research computing. Develop and deliver training materials, workshops, and documentation for HPC and research computing resources, ensuring accessibility for users with varied technical experience. Serve as an active member of the HPC Sub-committee as part of the EdTech Committee, participating in discussions that shape the direction of Oberlin’s research computing initiatives. Regularly engage with peer institutions, software vendors, and external contractors to stay current on trends, negotiate licensing, and promote best practices in research computing. Measures of Success in Community Building, Training, and Outreach: If students or faculty struggle with HPC onboarding, then you’ll host workshops, create documentation, and follow up with encouragement and clarity. If you join a committee discussion on campus research computing, then you’ll speak from experience, promote best practices, and advocate for accessible solutions. 4. Cross-CIT Collaboration Collaborate closely with colleagues across CIT, including Information Security, Enterprise Infrastructure, Academic Technology, Enterprise Applications, IT PMO and IT Support, to ensure research and academic computing environments align with institutional cybersecurity and data governance standards. Provide guidance on research and academic data storage, access, retention, and usage in coordination with CIT partners, ensuring compliance with institutional policies and regulatory requirements. Serve as a trusted partner to faculty and researchers navigating IRB requirements, privacy considerations, and research data compliance, coordinating as needed with Information Security, Legal, and Research Administration. Measures of Success in Cross-CIT Collaboration: Research computing environments reflect shared accountability, security, and responsible data stewardship. Faculty experience clear, supportive guidance when navigating compliance and governance requirements.
Marginal Job Functions
Required Qualifications	Education and Experience Bachelor’s degree in computer science, information technology, or a related field 3 years experience in system administration, with a focus on Linux and HPC environments Proficiency with HPC systems, including job scheduling and resource optimization Technical Skills Strong command of Linux, including terminal usage and shell scripting, with experience in server and HPC cluster administration Familiarity with virtualization and cloud-based HPC solutions is a plus (e.g. OSC usage) Solid understanding of higher education cybersecurity standards, data governance, and IRB regulations. Soft Skills Excellent verbal and written communication skills for engaging with diverse faculty, students, and administrative teams. Proven ability to explain complex technical information clearly to new or inexperienced users. Strong problem-solving and collaborative skills to meet the evolving needs of Oberlin’s research community. Physical Demands Ability to occasionally lift up-to 50 lbs. Regularly required to stand, walk, and use repetitive wrist, hand, or finger motions.
Desired Qualifications	Graduate degree in computer sciences, institutional IT systems, computational STEM, or related field. 2+ years of teaching and research experience at a college or university level. Experience with HPC scheduling or workload management solutions, particularly in research environments. Proficiency with tools and applications such as WebMO, RStudio/Posit, Prism, MaxQDA, MATLAB and others.
Quick Link for Posting	https://jobs.oberlin.edu/postings/17021
Compensation	Within the range established for this Administrative and Professional Staff position, salary will be commensurate with experience and qualifications. Compensation includes an excellent benefits package including tuition benefits for eligible children to attend Oberlin College and many other institutions.
Special Instructions to Applicants

Documents Needed to Apply

Required Documents

Resume
List of References

Optional Documents

Cover Letter

Supplemental Questions

Required fields are indicated with an asterisk (*).

Office of Human Resources
Oberlin College
173 West Lorain Street
Oberlin OH 44074

http://new.oberlin.edu/office/human-resources/

Phone: (440) 775-8430
Fax: (440) 775-8683
Hours: M-F 8:00 a.m. - 5:00 p.m.

human.resources@oberlin.edu

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Original Job Description

Jobs at Oberlin

Learning Systems Administrator

If you would like to bookmark this position for later review, click on the Bookmark link. If you would like to print a copy of this position for your records, click on the Print Preview link.

Bookmark this Posting Print Preview | Apply for this Job

Posting Details

Announcement Information

Job Summary	Oberlin College and Conservatory is renowned for its commitment to academic excellence and innovation in higher education. We are seeking a skilled and dedicated Learning Systems Administrator, with a special focus on high-performance computing (HPC) for academic and research initiatives.
Responsibilities	This individual will manage and maintain the campus High-Performance Computing (HPC) cluster, serve as the primary administrator for academic learning & research software (e.g., WebMO, RStudio, Prism, ChemDraw, and others), and collaborate closely with faculty and students in Oberlin’s STEM & research fields. This role will support and advance Oberlin’s research environment, build strong partnerships with faculty, and provide a service-oriented approach integral to facilitating cutting-edge research and academic excellence at Oberlin. This isn’t just a technical role, it’s an opportunity to join a learning community, serve as a research ally, and actively contribute to shaping Oberlin’s research future through high-performance computing (HPC), academic software, and cross-functional collaboration.
Essential Job Functions	1. High-Performance Computing (HPC) and Research Support Administer and optimize Oberlin’s on-prem HPC cluster and related research computing infrastructure, ensuring the security and stability of HPC systems for research purposes. Collaborate with faculty to support the HPC needs of research groups, manage user access, troubleshoot issues, and provide technical guidance for both new and experienced users. Implement security measures and comply with institutional data governance standards for research computing, ensuring alignment with IRB requirements and higher education data privacy regulations. Assist faculty with research software installation, configuration, and executing data jobs, including terminal-based commands and shell scripting, guiding them in effective usage and troubleshooting of the cluster. Serve is primary point of contact to the college’s HPC vendor. Measures of Success in HPC & Research Support: If you’re managing the HPC cluster for users with varying experience levels, then you’ll prioritize security, stability, and approachable guidance. If a faculty member needs help configuring a complex bioinformatics workflow, then you’ll troubleshoot collaboratively, translating terminal commands into learning moments. If emerging research trends require new infrastructure, then you’ll evaluate solutions pragmatically and design implementation plans aligned with institutional goals. 2. Learning Systems Administration and Technology Support Install, configure, and maintain server hardware and software for HPC and research computing; ensure regular system updates, backups, and performance optimization. Provide technical support for academic and research-related software applications, with a focus on Linux-based systems and other research-oriented tools. Support the use and integration of academic learning applications, such as WebMO, PosIt Cloud, Prism, ChemDraw, etc. critical to courses and research initiatives. Plan and execute HPC infrastructure projects in alignment with the college’s academic and administrative goals; evaluate and recommend upgrades and improvements as needed. Measures of success in Learning Systems Administration and Academic Technology Support: If servers, research applications, and Linux-based systems demand updates or attention, then you’ll address them proactively with clean documentation and system resilience. If an instructor needs help getting with academic software for a course or research method, then you’ll not only install and configure but empower them with guidance they can pass along to students. 3. Community Building, Training, and Outreach Cultivate and maintain collaborative relationships with faculty, instructional staff, and students in the academic research community, fostering a consistent, customer-focused approach to HPC and research computing. Develop and deliver training materials, workshops, and documentation for HPC and research computing resources, ensuring accessibility for users with varied technical experience. Serve as an active member of the HPC Sub-committee as part of the EdTech Committee, participating in discussions that shape the direction of Oberlin’s research computing initiatives. Regularly engage with peer institutions, software vendors, and external contractors to stay current on trends, negotiate licensing, and promote best practices in research computing. Measures of Success in Community Building, Training, and Outreach: If students or faculty struggle with HPC onboarding, then you’ll host workshops, create documentation, and follow up with encouragement and clarity. If you join a committee discussion on campus research computing, then you’ll speak from experience, promote best practices, and advocate for accessible solutions. 4. Cross-CIT Collaboration Collaborate closely with colleagues across CIT, including Information Security, Enterprise Infrastructure, Academic Technology, Enterprise Applications, IT PMO and IT Support, to ensure research and academic computing environments align with institutional cybersecurity and data governance standards. Provide guidance on research and academic data storage, access, retention, and usage in coordination with CIT partners, ensuring compliance with institutional policies and regulatory requirements. Serve as a trusted partner to faculty and researchers navigating IRB requirements, privacy considerations, and research data compliance, coordinating as needed with Information Security, Legal, and Research Administration. Measures of Success in Cross-CIT Collaboration: Research computing environments reflect shared accountability, security, and responsible data stewardship. Faculty experience clear, supportive guidance when navigating compliance and governance requirements.
Marginal Job Functions
Required Qualifications	Education and Experience Bachelor’s degree in computer science, information technology, or a related field 3 years experience in system administration, with a focus on Linux and HPC environments Proficiency with HPC systems, including job scheduling and resource optimization Technical Skills Strong command of Linux, including terminal usage and shell scripting, with experience in server and HPC cluster administration Familiarity with virtualization and cloud-based HPC solutions is a plus (e.g. OSC usage) Solid understanding of higher education cybersecurity standards, data governance, and IRB regulations. Soft Skills Excellent verbal and written communication skills for engaging with diverse faculty, students, and administrative teams. Proven ability to explain complex technical information clearly to new or inexperienced users. Strong problem-solving and collaborative skills to meet the evolving needs of Oberlin’s research community. Physical Demands Ability to occasionally lift up-to 50 lbs. Regularly required to stand, walk, and use repetitive wrist, hand, or finger motions.
Desired Qualifications	Graduate degree in computer sciences, institutional IT systems, computational STEM, or related field. 2+ years of teaching and research experience at a college or university level. Experience with HPC scheduling or workload management solutions, particularly in research environments. Proficiency with tools and applications such as WebMO, RStudio/Posit, Prism, MaxQDA, MATLAB and others.
Quick Link for Posting	https://jobs.oberlin.edu/postings/17021
Compensation	Within the range established for this Administrative and Professional Staff position, salary will be commensurate with experience and qualifications. Compensation includes an excellent benefits package including tuition benefits for eligible children to attend Oberlin College and many other institutions.
Special Instructions to Applicants

Documents Needed to Apply

Required Documents

Resume
List of References

Optional Documents

Cover Letter

Supplemental Questions

Required fields are indicated with an asterisk (*).

Office of Human Resources
Oberlin College
173 West Lorain Street
Oberlin OH 44074

http://new.oberlin.edu/office/human-resources/

Phone: (440) 775-8430
Fax: (440) 775-8683
Hours: M-F 8:00 a.m. - 5:00 p.m.

human.resources@oberlin.edu

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Learning Systems Administrator

Edtech.com's Summary

Learning Systems Administrator Full Description

Senior Machine Learning Scientist (USA Remote)

Senior Machine Learning Scientist (USA Remote)

Senior Machine Learning Scientist (USA Remote)

Lead Engineer, Enterprise Incident & Change Management

Systems Administrator