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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Research Computing Technical Specialist - **Company:** Marist University - **Location:** United States - **Experience:** Starter - **Salary:** $80,000.0 - $90,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Cloud Computing, Data Security, Linux, Programming Tools, Middleware, Linux System Administration, Performance Tuning, Software Maintenance, Programming Environments, Cloud Services, Virtualization Technology, High Performance Computing, Containerization, Information Technology, Performance Monitor, Data Management - **Published:** September 23, 2026 - **Apply:** https://jobs.theeduledger.com/company/marist-university-385592/job/research-computing-technical-specialist-in-poughkeepsie-ny-sdphgvoigv6joi3d2km6i6p3cmnalq/ ## About the Role Bachelor's degree in Computer Science, Data Science, or a related field 1-3 years of related experience Adaptability while working in a rapidly changing technological environment, Experience working in Linux-based systems administration or research computing infrastructure Demonstrated ability to communicate technical concepts effectively to faculty, researchers, students, and IT professionals Experience supporting academic, scientific, or research computing projects, including undergraduate research, graduate research, or grant-funded initiatives ## Description The Research Computing Technical Specialist is a member of the Infrastructure Team within Marist Information Technology. This position serves as a technical resource for faculty, students, and staff utilizing institutional research computing services and technologies. The specialist collaborates with researchers to understand project objectives, computational requirements, and data-intensive workflows, while supporting the effective use of advanced computing, artificial intelligence, data science, and cloud technologies. This position is designed as a growth-oriented technical role, providing opportunities to develop expertise in research computing, artificial intelligence, cloud technologies, and high-performance computing environments., Research Engagement and Technical Consultation: Serve as a technical resource for faculty, students, and staff utilizing research computing services and technologies. Collaborate with researchers to understand project objectives, computational requirements, data-intensive workflows, and emerging technology needs. Develop proficiency in advising researchers on the effective use of advanced computing, artificial intelligence, data science, and cloud technologies to support research activities. Administration and Operations: Partner with IT teams to administer, configure, monitor, and maintain research computing environments, including IBM zSystems, Linux-based servers, GPU and accelerator resources, cloud-based services, virtualized infrastructure, storage systems, and container platforms. Gain experience in installing, maintaining, and upgrading research software, libraries, middleware, and related tools. Assist with routine maintenance, patching, upgrades, performance monitoring, troubleshooting, and incident response activities to ensure reliable and secure operation of research computing services. Research Application Support and Performance Optimization: Support AI and other computational research applications by configuring and maintaining software environments and development tools. Develop proficiency in adapting, compiling, and optimizing applications, scripts, and programming environments to ensure compatibility with platform-specific architectures, libraries, and accelerator technologies. Assist researchers with workflow optimization, resource utilization, benchmarking, performance tuning, and efficient use of shared computing resources. Resource Planning and Lifecycle Management: Assist in the lifecycle management of research computing infrastructure, including technology evaluation, deployment, capacity monitoring, utilization analysis, refresh planning, and retirement of computing resources. Support workload scheduling, resource allocation, and fair-use practices that enable effective use of shared computing resources. Contribute technical input regarding future research computing capabilities and service improvements. Training, Documentation, and Outreach: Create and maintain technical documentation, knowledge resources, user guides, and standardized workflows that promote reproducible research and efficient onboarding. Deliver workshops, training sessions, and outreach activities that increase awareness and effective use of research computing services. Continuously develop technical competency in emerging technologies relevant to the research portfolio of Marist. Data Stewardship and Compliance: Collaborate with researchers, IT staff, and other stakeholders to support the secure and compliant use of research computing resources. Assist with data access, governance, security, and compliance practices consistent with institutional policies, regulatory requirements, grant obligations, IRB protocols, and data use agreements. Support computational resource planning and provide technical information for grant applications, research proposals and sponsored projects. Other duties as assigned., Marist University is committed to creating an inclusive workforce on our campus by ensuring that barriers to equal employment opportunity and upward mobility do not exist here. To this end, the University will strive to achieve the full and fair participation of all members of the Marist community. ## Related Videos - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Developer’s Perspective: Overview of the Tezos Blockchain Ecosystem](https://www.wearedevelopers.com/videos/237-developer-s-perspective-overview-of-the-tezos-blockchain-ecosystem) - [Crypto-secure Data Management with In-Database Blockchain](https://www.wearedevelopers.com/videos/632-crypto-secure-data-management-with-in-database-blockchain) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) ## Related Articles - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Top 6 Hackathons for Developers in 2023](https://www.wearedevelopers.com/magazine/263-top-6-hackathons-for-developers-in-2023) - [Best Coding Boot Camps in Germany](https://www.wearedevelopers.com/magazine/237-best-coding-boot-camps-in-germany) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)