Operations & System Specialist I (Hybrid) - Radiology

Washington University in St. Louis; St. Louis (MO); On-site; USD 53,000 - 91,000; Full time

Benefits offered by this job

Health insurance

Metro transit U-Pass

Tuition assistance

Job summary

Washington University in St. Louis is seeking a mid-level computational research support specialist to assist students, clinicians, and researchers with CHPC infrastructure.

You will help configure computing environments, submit and monitor jobs, manage research data, and troubleshoot workflows. Responsibilities include supporting radiology studies with Jupyter notebooks and Python environments, offering guidance on PyTorch/TensorFlow, and assisting with DICOM workflows in a cutting-edge AI

Qualifications

• Bachelor’s degree or combination of education and/or experience may substitute for minimum education.
• Experience in operations analysis, design, or related field for computational research support.
• Familiarity with Linux, Python, Jupyter, and deep learning frameworks (PyTorch, TensorFlow).

Responsibilities

• Communicate features to prospective and existing users.
• Provide regular in-person training sessions on CHPC usage and Linux fundamentals.
• Assist students and researchers in configuring and running AI models for radiology studies on CHPC.
• Support Jupyter notebooks and Python environments, including debugging.
• Guide on using PyTorch, TensorFlow, and deep learning in medical imaging contexts.
• Collaborate on DICOM/image processing and segmentation tasks.
• Analyze customer issues and guide toward root cause resolution.
• Escalate complex issues as needed.

Skills

Python

Linux

Jupyter Notebook

PyTorch

TensorFlow

Deep Learning

DICOM

Communication

Education

Bachelor's degree

Tools

DICOM Viewer

RCIF CHPC infrastructure

Linux OS

Job description

Position Summary

SAINT LOUIS, MO 63110

Scheduled Hours

40

Position Summary

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 Description

Primary Duties & Responsibilities:

• Communicate features to prospective and existing users
• Provide regular in-person training sessions on various topics including: how to use the CHPC, introduction to Linux, transferring data on an HPC system.
• Directly assist individual students and clinical researchers in configuring and running AI models for radiology studies on the CHPC
• 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.

For Large Environment with Dedicated System Support Specialists

• Assists System Manager in maintaining system performance, system security, hardware/software utilities, capacity planning and balancing operation cycles.
• Participates in the development, implementation, installation and testing of application or service software.
• Writes documentation to describe system development, deployment, life cycle; writes corrections for users to describe installations and operating procedures.
• Conducts system administration tasks as assigned.
• Trains technical support staff.
• Performs special projects as assigned.

For Department-Level Environment with Combined Responsibilities

• Ensures technology environment is accessible and equipped with current hardware and software; primary activities include:
• Troubleshoots hardware, software and network operation system.
• Understand all hardware and software.
• Understand network operation system.
• Provides orientation to new users of existing technology.
• Provides recommendations about accessing information and support.
• Maintains current and accurate inventory of technology hardware, software and resources.
• Monitors and maintains technology to ensure maximum access.
• Troubleshoots all technology issues.
• Maintains log and/or list of required repairs and maintenance.
• Makes recommendations about purchase of technology resources.
• Connects and sets up hardware.
• Loads all required software.
• Provides network accounts and passwords as required.
• Advises staff of security breach and/or change in password or security status.
• Identifies and prepares hardware for disposal when appropriate.
• Ensures hardware is properly formatted and secure before disposal.

Working Conditions:

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.

Education:

Required Qualifications

Bachelor’s degree or combination of education and/or experience may substitute for minimum education.

Certifications/Professional Licenses:

No specific certification/professional license is required for this position.

Work Experience:

Operations Analysis And Design, Systems Programming, Or A Closely Related Field (3 Years)

Skills:

Not Applicable

Driver's License:

A driver's license is not required for this position.

More About This Job

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.

Education:

Preferred Qualifications

No additional education unless stated elsewhere in the job posting.

Certifications/Professional Licenses:

No additional certification/professional licenses unless stated elsewhere in the job posting.

Work Experience:

No additional work experience unless stated elsewhere in the job posting.

Skills:

C (Programming Language), C++ Programming Language, Client Counseling, Communication, Computer Coding, Debugging, Deep Learning, DICOM Images, Implementing Decisions, IT Solution Design, Jupyter Notebook, Linux, Operating System Software, Project Administration, Python (Programming Language), PyTorch, Shell Scripting, Software Installations, Software Migrations, Solution Finding, Strategic Planning, System Performance, Technical Knowledge, Technical Support, Tensorflow

Grade

G11

Salary Range

$53,100.00 - $90,600.00 / Annually

The salary range reflects base salaries paid for positions in a given job grade across the University. Individual rates within the range will be determined by factors including one's qualifications and performance, equity with others in the department, market rates for positions within the same grade and department budget.

Pre-Employment Screening

All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. The screenings will include criminal background check and, as applicable for the position, other background checks, drug screen, an employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening.

Benefits Statement

Personal

• Up to 22 days of vacation, 10 recognized holidays, and sick time.
• Competitive health insurance packages with priority appointments and lower copays/coinsurance.
• Take advantage of our free Metro transit U-Pass for eligible employees.
• WashU provides eligible employees with a defined contribution (403(b)) Retirement Savings Plan, which combines employee contributions and university contributions starting at 7%.

Wellness

• Wellness challenges, annual health screenings, mental health resources, mindfulness programs and courses, employee assistance program (EAP), financial resources, access to dietitians, and more!

Family

• We offer 4 weeks of caregiver leave to bond with your new child. Family care resources are also available for your continued childcare needs. Need adult care? We’ve got you covered.
• WashU covers the cost of tuition for you and your family, including dependent undergraduate-level college tuition up to 100% at WashU and 40% elsewhere after seven years with us.

For policies, detailed benefits, and eligibility, please visit: https://hr.wustl.edu/benefits/

EEO Statement

Washington University in St. Louis is committed to the principles and practices of equal employment opportunity. It is the University’s policy to provide equal opportunity and access to persons in all job titles without regard to race, ethnicity, color, national origin, citizenship (where prohibited by federal law), age, religion, sex, sexual orientation, gender identity or expression, disability, protected veteran status, or genetic information.