Computational Scientist - Image Analysis & Data Visualization
University of Chicago
The University of Chicago Research Computing Center (RCC), a unit in the Office of Research, provides high-end research computing resources to researchers at the University of Chicago. It is dedicated to enabling research by providing access to centrally managed High Performance Computing (HPC), storage, and visualization resources. These resources include hardware, software, high-level scientific and technical user support, and the education and training required to help researchers make full use of modern HPC technology and local and national supercomputing resources. The Office of Research oversees the conduct of sponsored research, research program development, and contract management functions.
About the Department
The job develops software to support the data acquisition, ingestion, and integration for research projects. Assists in the development of user interfaces and scalable back-end services to automate and accelerate the scientific output of multi-institutional research projects.
The Research Computing Center (RCC) seeks an experienced Computational Scientist with a focus on Image Analysis and Data Visualization to serve as a domain expert in supporting and advising faculty, post-docs, and graduate students on a wide range of research projects. In this role, the Computational Scientist will support faculty research projects, understand faculty’s research questions and contribute to finding solutions and implementing them. Working as part of an existing team, the successful candidate will have ample opportunity to contribute to enabling science at the University of Chicago, develop and deliver training, and other activities designed to advance research through image analysis, data visualization and beyond.
Engage the community of researchers involved in computational image analysis at UChicago across application areas (e.g. biology, physics, chemistry, medical physics).
Develop or configure software and tools for the analyzis of images from various modalities and data visualization.
Work closely with faculty to identify, develop, and implement useful computational methods and resources that support or advance their research.
Assist faculty in exploring and applying new strategies, software and tools to their research.
Install, resolve issues, and assist users with visualization software and tools.
Serve as the RCC Visualization laboratory coordinator.
Assist faculty, researchers with using visualization equipment and software available in the RCC Visualization Lab.
Keep abreast of emerging technologies. Evaluate new technologies and software products to determine feasibility and desirability of incorporating their capabilities within research projects.
Contribute to research grant proposal development.
Create and present tutorials, hands-on workshops, and documentation to train the research community.
Develops and presents technical training materials and web-based documentation. Ensures timely systems support and updates. Assists in conducting information security assessments and risk analysis of computing environment.
Evaluates past and present technologies to help develop new tools. Ensures all the new tools have been through quality control reviews.
Perform other related work as needed.
Education:Minimum requirements include a college or university degree in related field.
Ph.D degree in any discipline with a strong computational background.
Technical Skills or Knowledge:
Experience with data modeling, image analysis, and data visualization.
Experience with medical image processing and medical image tools such as 3D Slicer, Amira, ITK-Snap.
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch)for computer vision applications.
Experience with one or more high-level languages such as C/C++, Python, Matlab, or R.
Experience with data visualization tools/toolkits such as Visualization Toolkit (VTK), D3.js, VisIT, ParaView or Tableau.
Experience with Linux/Unix.
Experience with git and svn.
Expertise with software design and development methodologies and best practices.
Experience with statistical and numerical methods.
Excellent interpersonal, verbal, written, and presentation skills.
A broad knowledge of algorithms, programming languages, and libraries.
Ability to understand and translate researchers’ scientific goals into computational requirements.
Ability to identify and gain expertise in appropriate new technologies and/or software tools.
Ability to function as part of an interactive team while demonstrating self-initiative to achieve project’s goals and Research Computing Center’s mission.
Demonstrated ability to work collaboratively within cross-functional teams.
Strong analytical skills and problem-solving ability.
Ability to work well with faculty and researchers.
Experience writing or contributing to grant proposals.
Resume or CV (required)
Cover letter (preferred)
When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.
Scheduled Weekly Hours
Drug Test Required
Health Screen Required
Motor Vehicle Record Inquiry Required
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