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Computational Research Support Specialist - Operations and System Specialist I - Radiology

WashU - School of Medicine
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We are looking for an enthusiastic mid-level computational research support specialist to assist students and clinical users in setting up and supporting radiology studies, including AI-enabled studies. This role involves hands-on support with setting up and troubleshooting Jupyter notebooks and Python code as well as guiding users on AI/deep learning workflows in radiology.

This is an excellent opportunity to work closely with cutting-edge AI tools and contribute to impactful medical research on the Research Computing and Informatics Facility (RCIF) Center for High-Performance Computing (CHPC) infrastructure.

Please apply here: https://wustl.wd1.myworkdayjobs.com/External/job/East-Building/Operations---System-Specialist-I---Radiology_JR86359

 

Primary Duties & Responsibilities:

  • Communicate features to prospective and existing users
  • Assist in conducting workshops on foundational knowledge and techniques for running computational studies.
  • Directly assist individual students and clinical researchers in configuring and running AI models for radiology studies on the RCIF
  • Provide support and troubleshooting for Jupyter notebooks and Python, including setup and basic debugging on the RCIF CHPC infrastructure.
  • Offer guidance on using PyTorch, TensorFlow, and general deep learning techniques in medical imaging contexts.
  • Collaborate on DICOM/image processing and segmentation tasks as needed.
  • Gathers customer information and determines customer’s issue by analyzing the symptoms and identifying/resolving the underlying problem.
  • Identifies what customer is trying to accomplish so time is not wasted on “attempting to solve a symptom instead of a problem”.
  • Escalates complex issues to higher level when necessary.
  • Performs other duties as assigned.

Required Skills:

  • Familiarity with Jupyter notebooks and foundational knowledge in PyTorch and TensorFlow.
  • Basic understanding of deep learning techniques, especially in image processing.
  • Strong communication skills and a patient, user-oriented approach to support.

Desired Skills:

  • Exposure to DICOM image processing and segmentation methods is a plus.
  • Experience with shared computing environments.
  • Experience with C/C++ and Python bindings