Research Computing Consultant
Brown University

Job Info

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Research Computing Consultant
Brown University

To view the full job posting and apply for this position, go to: https://brown.wd5.myworkdayjobs.com/en-US/staff-careers-brown/job/180-George-Street/Research-Computing-Consultant_REQ194428

Job Description:

Research Computing Consultant

Office of Information Technology

Working with Brown University Office of Information Technology User Support and Systems Groups within the Center for Computation and Visualization (CCV), the Research Computing Consultant is responsible for providing technical support for Brown researchers and their collaborators. This includes installing, debugging and maintaining domain specific scientific applications, and understanding best use practices needed to take full advantage of the University's high performance computing (HPC) resources, research storage systems, and secure computing enclave. The Research Computing Consultant is also responsible for teaching users to effectively use the shared computing platform, its scheduling system, and its high performance data storage systems. The incumbent will also write clear and concise web documentation for the Center's users. The Research Computing Consultant participates in a 24/7 on-call rotation.

Job Qualifications

• Bachelors in Computer Science or STEM field required. Master/PhD degree in STEM field preferred
  
• 3 - 5 years of IT related experience
  
• Exceptionally strong background in Linux/Unix
  
• Experience with a variety of build and installation tools (e.g. CMake, Makefile, scons, autoconf)
  
• Experience with building, configuring and deploying complex research software (R, MatLab, etc)
  
• Software development experience using technical computing languages (e.g. C, C++, Fortran, Julia)
  
• Scripting language experience (e.g. bash, Python)
  
• Experience using and supporting High Performance Computing and parallel systems
  
• Experience supporting a highly secure storage and computing environment for sensitive data
  
• Experience with cloud technologies including: AWS, Azure, GCP
  
• Experience with containerization technologies (e.g., Docker, Singularity)
  
• Experience with version control technology (e.g., Git)
  
• Experience with remote desktop services such as VNC and FastX
  
• Experience working in teams on multiple projects
  
• Demonstrated ability to work with groups having varied levels of technical sophistication
  
• Experience with GPU programming (e.g., CUDA, OpenCL)
  
• Experience with deep learning frameworks (e.g., TensorFlow, PyTorch)
  
• Experience with distributed programming frameworks (e.g., MPI)
  
• Experience with Jupyter Hub
  
• Experience with Globus Platform
  
• Excellent verbal, written, and interpersonal communication skills
  
• Strong problem-solving skills
  
• Experience creating technical documentation
  
• Demonstrates a willingness and ability to support a diverse and inclusive environment.
  

Successful completion of a criminal background check and education verification is required.

Benefits of Working at Brown:

Information on the Benefits of Working at Brown can be found here.

Recruiting Start Date:

2024-05-01

Job Posting Title:
Research Computing Consultant

Department:
Office of Information Technology

Grade:
Grade 10

Worker Type:
Employee

Worker Sub-Type:

Regular

Time Type:
Full time

Scheduled Weekly Hours:
37.5

Position Work Location:
Hybrid Eligible

Submission Guidelines:

Please note that in order to be considered an applicant for any staff position at Brown University you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application.

Still Have Questions?

If you have any questions you may contact employment@brown.edu.

EEO Statement:

Brown University is an E-Verify Employer.

As an EEO/AA employer, Brown University provides equal opportunity and prohibits discrimination, harassment and retaliation based upon a person's race, color, religion, sex, age, national or ethnic origin, disability, veteran status, sexual orientation, gender identity, gender expression, or any other characteristic protected under applicable law, and caste, which is protected by our University policies.









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