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Research Computing Support Specialist
  • Job Number: 23797
  • Functional Area: Scientific Computing
  • Department: Office of Research Computing and Data
  • School Area: VP Research
  • Employment Type: Full-time (Hybrid)
  • Employment Category: Exempt
  • Visa Sponsorship Available: No
  • Schedule: M-F


Job Description

RESEARCH COMPUTING SUPPORT SPECIALIST, Office of Research Computing and Data (ORCD), to assume a hands-on position delivering world-class research computing customer experiences to all MIT researchers.  Will be part of a growing central team providing core research computing training and support services and platforms to the entire MIT community; interact directly with researchers and research groups to help resolve and remove their challenges around scaling reproducible digital research and data activities beyond laptop and desktop computing; create testable, repeatable, and maintainable online training material; and participate in the delivery of effective in-person training activities related to productive research computing best practices and skills. 

A full job description is available here.  

Job Requirements

REQUIRED:  bachelor’s degree and at least five years of relevant programming experience (including with at least one scripting language such as Python, R, or Julia, and/or one compiled language such as C, C++, or Fortran) or nine years of experience in lieu of a degree; willingness and ability to participate in continued personal technical learning and keeping up-to-date with evolving technology; strong interpersonal and written and oral communication skills; ability to work independently and with others; and some understanding of the character of research environments.  PREFERRED:  some exposure to some modern tools of digital research; comfort working with notebooks, VSCode, bash/Linux, parallel and math libraries, GPU toolchains, or other similar commonly used systems; experience with machine learning stacks and platforms, continuous integration and continuous deployment systems, workflow automations such as Git, and other software productivity tools; and formal or informal teaching or tutoring experience.  Job #23797-9

3/6/24