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Washington University in St. Louis seeks a mid-level computational research support specialist to assist students, clinicians, and researchers with CHPC resources, environments, and job management.
You will help configure computational pipelines, monitor jobs, manage data, and troubleshoot workflows, including AI-enabled radiology research with PyTorch and TensorFlow. Collaboration on DICOM workflows is expected.
SAINT LOUIS, MO 63110 Scheduled Hours 40
This position provides specialized support on information technology equipment and systems for the business, research, and instructional functions of customers. Position involves the advanced use of software and/or hardware tools to provide ongoing services, and responsibilities require expertise with core infrastructure elements and how they interrelate to provide a cohesive computing environment. Position may be more broadly based, requiring knowledge regarding installation, and modification of software and hardware, testing, and documentation on a variety of platforms, or may be singularly focused, requiring specialized skills as systems architect in a larger, more standardized platform.
Job Location/Working Conditions Normal office environment Physical Effort Typically sitting at a desk or table Equipment Office equipment The above statements are intended to describe the general nature and level of work performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all job duties performed by the personnel so classified. Management reserves the right to revise or amend duties at any time.
We are looking for an enthusiastic mid-level computational research support specialist to help students, clinical users, and other researchers effectively use the Research Computing and Informatics Facility (RCIF) Center for High-Performance Computing (CHPC) infrastructure. The position will provide hands-on assistance with accessing CHPC resources, configuring computational environments, submitting and monitoring jobs, managing research data, and troubleshooting and optimizing scientific computing workflows. The specialist will also support radiology studies, including AI-enabled research by assisting users with Jupyter notebooks, Python environments, and deep-learning frameworks such as PyTorch and TensorFlow. Additional responsibilities may include guidance on DICOM and medical image processing workflows. This is an excellent opportunity to work closely with cutting-edge AI tools and contribute to impactful medical research on the RCIF’s CHPC infrastructure.
Salary Range $53,100.00 - $90,600.00 / Annually
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