Title:
Research Computing Facilitator
Department:
Advanced Research Computing
Reports To:
Associate Director, High Performance Research Computing
Position Type:
Staff
Position Summary:
The Research Computing Facilitator will
provide support and services to faculty and researchers leveraging the
university’s advanced computing research infrastructure and related resources
for Data Science & Engineering research. The individual will be
responsible for collaborating with faculty and student researchers across
campus to understand their needs and support by developing and conguring software
solutions and services that enable research projects.
The individual will work with peers in
the Information Services and Technology team to develop services and
solutions to meet researcher’s needs. The individual will provide ongoing
consulting and training sessions promoting the best way to use the
infrastructure and related software. The right candidate will be self
motivated, keep up with trends and emerging technologies in the eld, and
provide forward thinking ideas to the research community as applicable. As a
key member of the university’s advanced research computing team, this
individual will collaborate with academic and technical colleagues to develop
proposals and assist with securing external grants. A researcher at heart,
this individual will strengthen collaboration across the Information Services
and Technology division, with the research community, campus partners, with
vendors, and with national and global entities to facilitate shared
opportunities. All duties will need to be performed in accordance with
university policies, procedures and core values.
Essential Functions:
Research Support (45%)
– Provide consulting, programming and
other services to faculty and researchers in using research computing
resources including on-premise HPC cluster and cloud, and by providing
advanced consulting to identify, investigate and resolve problems
encountered.
– Provide guidance to existing and
potential users on how to efciently use the research computing resources for
their research projects through both one-on-one consultations and training
sessions, including assistance with scripting, programming, and debugging
services, workow management, software installation and data management.
– Build and maintain an up to date
software stack for data science & engineering that is easily accessible
by the user community.
Training & Outreach (35%)
– Develop and teach workshops, course
modules, seminars and training session in basic use of HPC, Programming
languages such as Python, R, Julia, etc, GPU Programming, and other topics
relevant to Data Science & Engineering such as JupyterLab, RStudio, cloud
computing, Apache SPARK, HIVE, Kubernetes, various visualization frameworks,
etc.
– Understand and convey current
trends in computing technology to the user community.
– Write user guides, information
material and other documentation.
Professional Development (20%)
– Maintain familiarity with emerging
techniques and technologies in data science & engineering.
– Participate in training, education
and development activities to improve knowledge and performance, and enhance
professional development.
– Maintain familiarity with data
science, analysis and visualization software and technologies.
– Attend and present at relevant
academic and professional conferences and organizations.
– Perform other duties as assigned
and as needed, including readiness to support after hours and weekends.
Prerequisite Qualifications:
– A Bachelor’s Degree in computer
science, data science, information systems, or a related eld.
– Experience using research computing
resources for Data Science & Engineering related research.
– Knowledge of Linux operating
systems, including utilities and scripting languages.
– At the
university’s discretion, the education and experience prerequisites may be
exempted where the candidate can demonstrate to the satisfaction of the
university, an equivalent combination of education and experience
specifically preparing the candidate for success in the position.
Preferred Qualifications:
– Curious and enthusiastic recent
graduate with a desire to gain expertise in a few of the areas described in
the Preferred Qualications below.
– Demonstrated experience learning new
technologies.
– Demonstrated ability to act on
tactical opportunities in an evolving, fast-paced environment, while
continuing to build long term strategies.
– Demonstrated ability to multitask
and work across multiple priorities.
– Demonstrated experience developing
and delivering training.
Bargaining Unit:
PSA
Range/Band:
27
FLSA:
Exempt
Full-Time
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