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Research Computing Specialist

Smith College

Northampton, MAJobSeen todaySeen in employer's feed today

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At a glance

Compensation
No compensation found
Location
Northampton, MA
Work Authorization
Not specified

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Job overview

Reporting to the Director of Computing and Technical Services, the Research Computing Specialist supports research, teaching, and administrative computing across Smith College’s Science Center. The role assists faculty, students, and staff with cross-platform systems, scientific software, research workflows, HPC resources, and data storage. It also supports laboratory technology and provides training and documentation, with opportunities to develop expertise in research computing technologies.

Skills & qualifications

RequiredNice to have

Skills

Cross-Platform Systems SupportMacOS AdministrationWindows AdministrationDesktop ComputingEndpoint ComputingNetwork ComputingCentralized Workstation ManagementEndpoint Security ToolsSoftware DeploymentScriptingAutomationCommand-Line ToolsTroubleshootingProblem SolvingLinux SystemsLinux AdministrationScientific ComputingHPC ResourcesResearch Data StorageAI/ML ComputingSoftware PackagingCommand-Line AdministrationScientific Instrumentation SupportAnalytical SoftwareData-Intensive ResearchWeb PlatformsWordPressGoogle Workspace AdministrationTechnical CommunicationCustomer SupportOrganizational SkillsWritten CommunicationVerbal CommunicationPresentation SkillsInterpersonal SkillsTeamwork

Qualifications

Bachelor's in Scientific Discipline or Related Field or Equivalent5+ Years Computing Support Experience

Full job description

NORTHAMPTON Research Computing Specialist Reporting to the Director of the Computing and Technical Services (CATS) group, the Research Computing Specialist provides technical support for research, teaching, and administrative computing across the Science Center. This position supports faculty, students, and staff using macOS, Windows, and Linux systems in research labs, classrooms, and offices. The position supports scientific computing workflows, research software environments, high-performance computing (HPC) resources, research data storage, and emerging technologies including artificial intelligence and machine learning (AI/ML). Responsibilities include deployment and lifecycle management of research and laboratory desktop and laptop systems, support for specialized scientific software and instrumentation, participation in server and storage support, and assistance to faculty and students with research computing needs. The role also provides training and documentation related to scientific software, computational methods, data-intensive workflows, and evolving research technologies. Working collaboratively with other CATS staff, the position provides opportunities to develop additional expertise in research computing technologies including HPC, research data storage, Linux systems, and AI/ML computing. Take appropriate actions to support a diverse workforce and participate in the College's efforts to create a respectful, inclusive, and welcoming work environment. MINIMUM REQUIRED Qualifications (education, experience, certifications, licenses, knowledge, skills) Bachelor's Degree in a scientific discipline or related field, or an equivalent combination of education and experience Minimum of 5 years experience with a focus on supporting cross-platform client systems and computing technologies in a higher education, research, or enterprise environment, including experience supporting macOS and Windows systems. Familiarity with Linux systems preferred. Demonstrated knowledge of desktop, endpoint, and network computing, especially macOS and Windows systems administration and support in a managed environment. Familiarity with Linux support and administration is desirable. Familiarity with centralized workstation management systems, endpoint security tools, software deployment platforms, scripting, automation, and command-line tools. Strong troubleshooting, organizational, and problem-solving skills with the ability to quickly learn and support new technologies. Ability to communicate technical concepts effectively to non-technical audiences and provide high-quality customer support in a collaborative academic environment. Excellent written, verbal, presentation, interpersonal, and teamwork skills required. Preferred Qualifications Experience or familiarity with scientific or research computing environments, HPC resources, research data storage systems, AI/ML computing, or centralized endpoint management systems preferred. Familiarity with scripting, automation, software packaging, and command-line administration desirable. Experience supporting scientific instrumentation, analytical software, or data-intensive research environments is a plus. Familiarity with web platforms and collaboration tools, including WordPress and Google Workspace administration, is desirable.

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