Computational Scientist & Service Delivery Manager

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.

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 with Linux/Unix environments.
• Experience with software design and development methodologies and best practices.
• Experience building, installing, testing, and tuning scientific applications software.
• Experience with compiler optimization techniques, performance analysis tools, and HPC libraries.
• Familiarity with job schedulers such as Slurm.
• Experience with version-control systems such as Git.

Preferred Competencies

• Experience deploying and optimizing workloads on GPU-accelerated systems.
• Experience with AI/ML frameworks such as PyTorch or TensorFlow.
• Familiarity with scientific computing libraries such as NumPy, SciPy, pandas, xarray, and scikit-learn.
• Ability to understand and translate researchers' scientific goals into computational requirements.
• Ability to work well with faculty and researchers.
• 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.
• Strong analytical skills and problem-solving ability.