Department 2010011 BSD - Center for Research Informatics
About the Unit The Center for Research Informatics (CRI) is an 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 biomedical researchers.
HPC Systems Administrator: This position will work with the Lead HPC Systems Administrator to build and maintain the BSD High Performance Computing (HPC) environment, assist life-sciences researchers to utilize the HPC resources, work with stakeholders and research partners to successfully troubleshoot computational applications, handle customer requests, and respond to suggestions for improvements and enhancements from end-users.
Provisioning, configuration, and operation of computational hardware and analysis software for use by research projects. Participate in the technical development to enable continuing innovation within the infrastructure. Ensure that hardware, software, and related procedures adhere to organizational values and enable the research of faculty, staff, collaborators, and other end-users.
Ability to administer GNU/Linux servers. Understanding of issues in research computing. Ability to program and debug software in C/C++, Java, and/or Fortran. Ability to build and install software from source. Basic knowledge of computer and network security. Desirable: Understanding of HPC scheduling software (e.g. PBS, Moab, or SLURM), parallel filesystems (e.g. GPFS, Lustre), HPC Interconnects (e.g., Infiniband, OmniPath), and/or AI/Deep Learning/Machine Learning.
Education, Experience or Certifications:
Bachelor's degree in computer science, engineering, biological sciences, or related field required.
Two or more years work experience in a scientific computing environment required.
Cover Letter Resume Link to public, personal Github or similar repository if available
NOTE: When applying all required document MUST be uploaded under the Resume/CV section of the application
Benefit Eligibility Yes
Pay Frequency Monthly
Pay Range Depends on Qualifications
Scheduled Weekly Hours 37.5
Job is Exempt? Yes
Drug Test Required? No
Does this position require incumbent to operate a vehicle on the job? No
Health Screen Required? No
Posting Date 2018-12-10-08:00
Remove from Posting On or Before 2019-06-10-07:00
The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.
Staff Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.
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Does this position provide Sponsorhip for candidates outside North America?
For exceptional candidates
I don't normally threadcrap on job posts but it seems kind of crazy to advertise an HPC job with no cloud computing component. Do they really think bioinformatics will stay on bare metal machines? Isn't this Robert Grossman's group?
Yea, I think so. Overall, it's substantially cheaper for compute and, especially, storage. Plus, there are considerable issues with data ownership that prohibit cloud. If I put a patients data up on S3, and don't pay my bill, do I or the patient actually own that data?
cloud is relevant to burst, not tera/petascale workflows. it's also relevant for virtualization of services. but you can do that internal as well with vm farms.
That sounds like a propositional fallacy - people are already storing patient data in S3 in the present day. I don't think these are insurmountable issues.
Sure, people do it. I think you definitely pay for it above and beyond whats really required to provide HPC services to a group of researchers.
That's GDC / CDIS, and yea they work off AWS as far as I know. This is for CRI.
It works for them. Not hating or anything. Suits their needs. :)