Computational and Data Science Research Specialist - 135343

Applies skills as a seasoned, experienced IT research professional. Uses computational, computer science, data science, and CI software research and development principles, with relevant domain science knowledge where applicable, along with professional programming concepts for medium-sized projects or portions of larger projects. Develops and optimizes a variety of computational, data science, and CI research tools and components. Performs research on current and future HPC, data, and CI technologies, hardware and software projects. Works on algorithm development, optimization, programming, performance analysis and / or benchmarking assignments of moderate scope where the tasks involve knowledge of either domain / computer science research requirements and / or CI design / implementation requirements.

Develops, analyzes and design functions for SBRG's system and network software. Duties include analyze and design new systems and enhancements to existing systems as well as determine source data (input), processing requirements (output), output formats, timing and cost estimate. Verify that all SBRG systems and networks meet performance criteria as well as design, implement, computational data and document procedures, installing and testing moderately complex software packages and maintaining operating systems and software for the SBRG.

• Bachelor's degree in Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization or equivalent experience.

• Intermediate knowledge of HPC / data science / CI.

• Advanced skills, and demonstrated experience associated with one or more of the following: HPC hardware and software power and performance analysis and research, design, modification, Implementation and deployment of HPC or data science or CI applications and tools.

• Demonstrated ability to regularly interface with management.

• Demonstrated ability to contribute research and technical content to grant proposals.

• Demonstrated effective communication and interpersonal skills. Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization and to external research and education audiences.

• Proven skills and experience in independently resolving broad computing / data / CI problems using introductory and / or intermediate principles.

• Self-motivated and works independently and as part of a team. Able to learn effectively and meet deadlines.

• Thorough experience working in a complex computing / data / CI environment encompassing all or some of the following: HPC, data science infrastructure and tools / software, and diverse domain science application base.

• Proven ability to successfully work on multiple concurrent projects.

• Proven ability to understand research computing / data / CI needs, mapping use cases to requirements and how systems / software / infrastructure can support those needs and meet the requirements. Demonstrated ability to develop and implement such solutions.

• Demonstrated broad experience in one or more of the following: optimizing, benchmarking, HPC performance and power modeling, analyzing hardware, software, and applications for HPC / data / CI.

• Demonstrated experience and ability to collaborate effectively with all levels of staff; technical, students, faculty and administrators

• Background check required.

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