Jr. HPC Systems Administrator

Jun 30, 2017
Institution Type
Four-Year Institution
About The Unit: The Center for Research Informatics (CRI) is a growing organization within the Biological Sciences Division (BSD) that provides informatics resources and services to BSD faculty. Four main services comprise the CRI's operations: applications development, bioinformatics, IT infrastructure, and a clinical research data warehouse. Through these service lines, the CRI enables research of the highest scientific merit and advances the state of the art of clinical and translational informatics. The CRI recruits exceptional candidates looking to leverage state-of-the-art technologies to deliver innovative and exciting solutions in the biomedical informatics field. The Biological Sciences Division (BSD) is the largest operating unit of the University of Chicago. It includes the Pritzker School of Medicine, twenty-three academic departments, twelve interdisciplinary degree-granting committees, and more than a dozen research centers and institutes. Our mission is to discover and create new knowledge of living systems, to preserve and communicate knowledge through education, and to nurture and sustain a community of scholars. These scholars pursue this mission through research, the education of basic scientists, physicians, and others interested in living things, and through enlightened and compassionate care of patients in a humane, academic environment. We have a long and rich history of discovery. Our academic departments have each developed and sustained outstanding programs of research and training in a broad range of programs. These are further enhanced by interdisciplinary committees, centers, and institutes. Unique among our peers, our Pritzker School of Medicine and basic biological science programs are housed in one division, allowing for strong collaborations between basic science and clinical research. Faculty, staff and students interact across programs and disciplines, creating collaborative and innovative approaches to the study of complex problems.

Unit Job Summary: Jr. HPC Systems Administrator: This position will work with the Sr. HPC Systems Administrator to build and maintain the BSD High Performance Computing (HPC) environment, assist users to utilize the HPC resources, works with stakeholders and research partners to successfully troubleshoot computational applications, handle customer requests, and respond to suggestions for improvements and enhancements from end-users. In addition: Responsible for effective provisioning, configuration, and operation of computational hardware, analysis software and network infrastructure for use by research projects in the life sciences. Participate in technical development to enable continuing innovation within the infrastructure. Ensure that computational hardware, software, and related procedures adhere to organizational values and enable the research of faculty, staff, collaborators and other end-users. Please provide a link to public, personal Github or similar repository for the Other - Preferred Documents.

Unit Education: Bachelor's degree in computer science, engineering, biological sciences, or related field required. 

Unit Experience: Previous internship or entry level position in a computer science related field required. One or more years of systems administration experience preferred. Involvement in open source software development preferred.

Unit Job Function Competencies: Ability to administer GNU/Linux servers required. Ability to program and debug software in C/C++, Java and/or Fortran required. Ability to automate basic system administration tasks using a scripting language such as bash, csh, Perl, and/or Python required. Ability to provide support to software developers and scientists required. Ability to perform hardware support and cabling of physical systems required. Ability to build and install software from source required. Basic knowledge of networking required. Basic knowledge of computer security required. Integrity and credibility to work with sensitive data required. Knowledge of how High Performance Computing environments function preferred. Knowledge of parallel file systems such as Lustre or GPFS preferred. Understanding of Infiniband and/or other interconnect technologies preferred. Understanding of HPC scheduling software such at PBS, Moab, or SLURM preferred.

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