The SciNet HPC Consortium is looking to augment their team with an HPC Analyst.

Title of job: Scientific Applications Analyst

Location: SciNet HPC Consortium, University of Toronto, Toronto, Ontario, Canada

Summary of job:

The Scientific Applications Analyst provides senior IT services and training in parallel programming, data science applications, and scientific computing workflows for the SciNet High Performance Computing (HPC) consortium which serves researchers at the University of Toronto including faculty, postdoctoral fellows and graduate students in all disciplines and fields (e.g. science and engineering, medicine, finance, languages, etc.). The incumbent is involved in massively-parallel computing (single jobs that make use of up to 40,000 cores) and data analytics and machine learning on large data sets (100TB and up). S/he works with researchers and research teams to plan, develop, install and optimize the initial SciNet systems for various research programs and provides technical consultation to researchers on their system needs for research operations. S/he also takes part in delivering and developing SciNet’s training and education program. SciNet operates large High Performance Computing (HPC) systems, and acquires the largest HPC cluster in Canada by the end of 2017. SciNet provides HPC resources and support to researchers at the University of Toronto, the affiliated research hospitals, and other Canadian universities.

Salary: CAD$94,672 with an annual step progression to a maximum of CAD$121,069. Pay scale and job class assignment is subject to determination pursuant to the Job Evaluation/Pay Equity Maintenance Protocol.

Closing date: Oct 26, 2017, 11:59:00 PM EST

For more details, see the job site of the University of Toronto.