{"id":2208982,"url":"https://alion.io/job/smith-college-research-computing-specialist","title":"Research Computing Specialist","company":{"id":66036,"name":"Smith College","domain":"smith.edu","url":"https://alion.io/company/smith-edu","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":11,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":37,"computed_at":"2026-10-10T05:45:15Z"}},"role":"HR","role_family":"HR","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Smith, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":76535,"max":103548,"currency":"USD","period":"year","gross":null,"usd_annual":103548},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"HPC","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"Windows","optional":false},{"name":"Google Workspace","optional":true},{"name":"PHP","optional":true},{"name":"WordPress","optional":true}],"status":"live","first_seen_at":"2026-10-09T00:00:00Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-11T02:17:27Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"If you have any questions about the position or our application process, reach out to us at .\nDepartment\nClark Science Center AdministrationJob Description\nJob Summary\nReporting 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.\nThe 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.\nWorking 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.\nTake appropriate actions to support a diverse workforce and participate in the College's efforts to create a respectful, inclusive, and welcoming work environment.\nEssential Functions\nResearch and Academic Computing Support (50%): As part of the CATS team, assist in the deployment, maintenance, and support of Science Center classroom, laboratory, research, and faculty computing environments across macOS, Windows, and Linux platforms. Provide support for centralized software deployment, operating system management, endpoint security, patching, and lifecycle management for Science Center computing devices.\nManage and support research and laboratory workstations, printers, and mobile devices including macOS, Windows, Linux, iOS, and related platforms. Support faculty and student research computing workflows, including installation and troubleshooting of scientific software, programming environments, analytical applications, AI/ML tools, and software associated with laboratory instrumentation and data acquisition systems.\nAssist faculty, students, and research groups with software and hardware selection, storage requirements, data workflows, and research computing technologies. Maintain hardware and software inventory records and technical documentation, and assist with lifecycle replacement planning. Participate in the development and implementation of standards and practices that support research and instructional computing within the Science Center.\nResearch Computing Infrastructure and Systems Administration (25%): Serve as part of the CATS team supporting Linux and Windows servers and infrastructure critical to Science Center operations and research. Under the guidance of senior CATS staff, assist with the operation and support of research computing infrastructure including HPC resources, research data storage systems, AI/ML computing resources, backups, and related services.\nSupport scientific computing services including shared storage, databases, remote access systems, web applications, research collaboration tools, and related infrastructure. Assist with monitoring, troubleshooting, maintenance, documentation, and security of server, storage, and network infrastructure.\nWork with CATS staff and central ITS to support system reliability, patching, backups, security, and disaster recovery. Participate in the testing and implementation of new research computing technologies and infrastructure upgrades.\nUser Training, Documentation, and Consulting (20%): Working with other CATS staff, develop and provide technical training, tutorials, workshops, and documentation related to research computing, scientific software, AI/ML tools, and academic technology. Assist faculty, staff, and students in adopting technologies and computational methods that support teaching and research.\nCreate and maintain technical documentation and knowledge base materials for supported systems and services. Continue professional development through coursework, conferences, workshops, and independent study to develop expertise and remain current with evolving research computing technologies and best practices.\nWeb and Digital Services Support (5%): Assist with maintenance of Science Center web services and online tools as needed, including technical support for departmental websites, online forms, Google Groups management, and related infrastructure. Provide limited support for Science Center digital signage and related communication systems.\nMINIMUM REQUIRED Qualifications (education, experience, certifications, licenses, knowledge, skills)\nBachelor's Degree in a scientific discipline or related field, or an equivalent combination of education and experience\nMinimum 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.\nDemonstrated 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.\nFamiliarity with centralized workstation management systems, endpoint security tools, software deployment platforms, scripting, automation, and command-line tools.\nStrong 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.\nExcellent written, verbal, presentation, interpersonal, and teamwork skills required.\nPreferred Qualifications\nExperience or familiarity with scientific or research computing environments, HPC resources, research data storage systems, AI/ML computing, or centralized endpoint management systems preferred.\nFamiliarity with scripting, automation, software packaging, and command-line administration desirable.\nExperience 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.\nCompensation\nIn addition to a competitive benefits package, annualized pay for this role is typically between $76,535.64 - $103,548.21 covering the middle half of market compensation. Actual compensation will vary based on individual qualifications and work schedule if less than full-time.Position Type\nRegularPlease attach BOTH a current resume and a cover letter in order for your application to be considered for this position . Be sure you have provided all attachments before submitting your application.\nYou will NOT be able to attach additional files after you have hit the Submit button.\nReview of applications will begin\nNovember 2, 2026About Smith College\nLocated in Northampton, MA, Smith College is one of the largest women’s colleges in the country and is dedicated to excellence in teaching and research across the liberal arts. A faculty of outstanding scholars interact with students in small classes, as advisors, and through student-faculty research projects. The College is a member of the Five College Consortium with Amherst, Hampshire and Mt. Holyoke Colleges, and the University of Massachusetts Amherst. Students cross-enroll and faculty cross-teach across the Five Colleges.\nConsistent with the Americans with Disabilities Act (ADA) and Massachusetts General Law, Chapter 151B, it is the policy of Smith College to provide reasonable accommodation when requested by a qualified applicant or employee with a disability, unless such accommodation would cause an undue hardship. The policy regarding requests for reasonable accommodation applies to all aspects of employment, including the application process. If reasonable accommodation is needed, please contact our recruiting team at .\nAs set forth in our mission and values, Smith College is committed to promoting a culture of equity and inclusion among students, staff and faculty. The College will not discriminate in employment on the basis of age, race, color, ethnicity, national origin, creed, religion, sex, sexual orientation, gender identity, gender expression, pregnancy, genetic information, age, veteran status, physical or mental disability, or any other classification protected by law. 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