Computational Scientist

Computational Scientist & Research Computing Services Manager

The University of Chicago Research Computing Center (RCC), a unit within the Office of Research, provides advanced research computing resources and expertise to support computational and data-intensive research across the University. RCC enables research through centrally managed high-performance computing (HPC), storage, visualization, and AI infrastructure, along with scientific consulting, user support, education, and training. RCC also helps researchers leverage local, national, and cloud-based computational resources. The Office of Research oversees sponsored research administration, research development, and contract management across the University.

The job develops front and back-end software structures that scale and integrate scientific workflows in multi-institutional research projects. Uses in-depth knowledge of software development to facilitate solutions to data acquisition, ingestion and data integration from heterogeneous sources. The University of Chicago Research Computing Center (RCC) is seeking a highly motivated Computational Scientist & Research Computing Services Manager to support faculty, post-docs, and graduate students on using advanced computing technologies in their research. The person in this position will serve as a multi-disciplinary technical expert in supporting and advising faculty on using AI, High-Performance Computing (HPC), and related technologies for their research. The successful candidate will combine technical expertise, faculty engagement, and responsibility for delivering high-quality research computing services. They will also hire, mentor and manage a team of talented UChicago students who assist with user and project support. Working as part of an existing collaborative team at the RCC, the successful candidate will have ample opportunity to advance computational research across the University and contribute to enabling science at UChicago. This is a hybrid position requiring 3 days onsite per week.

Responsibilities

• Partner with faculty and research groups, by serving as a domain expert, to identify, develop, and implement computational solutions that advance their research.
• Troubleshoot, compile, debug, profile, optimize, and port scientific applications and computational workflows on AI and HPC systems.
• Contribute to faculty projects, through the RCC Consultant Partnership Program, as assigned.
• Develop, install, test, and maintain scientific and community software in support of research projects.
• Solves user problems promptly and professionally.
• Proactively recommend appropriate RCC technologies and services.
• Create and maintain technical documentation, user guides, and knowledge-base to ensure consistent and high-quality user support.
• May manage staff, including help desk and research data scientists. Set goals and priorities for the team. Responsible for performance management and staff development.
• Hire, train, mentor, and manage a team of talented UChicago student consultant.
• Work closely with faculty to identify, proactively propose and execute solutions to support or advance their research.
• Develop documentation best practices and tools that can be used by others.
• Contribute to the development and improvement of RCC's systems, services, and operational practices.
• Create and deliver tutorials, hands-on workshops, and other training materials.
• Assist researchers with grant proposals by describing the role of AI, HPC, and related computational resources.
• Participates in the product development life cycle, providing professional assistance to the design of front-end applications and database systems back-end schema. Analyzes high-level system specifications and makes sure that all application development standards are met.
• Works independently to define and document project requirements and provides overall technical guidance in design, architecture and implementation of software solutions.
• Evaluates new technologies and software products to determine feasibility and desirability of incorporating their capabilities within research projects.
• Performs other related work as needed.

Minimum Qualifications Education: Minimum requirements include a college or university degree in related field. Work Experience: Minimum requirements include knowledge and skills developed through 5-7 years of work experience in a related job discipline. Certifications: --- Preferred Qualifications Education:

• Ph.D.

Experience:

• Experience mentoring or managing students.

Technical Skills and Knowledge:

• Proficiency in one or more programming languages such as C++, C, etc.
• Proficiency in a scripting language such as Python.
• Experience wit