Computational & Data Science Research Specialist 3

About the position Responsibilities • Design, develop, modify, and evaluate complex HPC, computational science, and data science software systems. • Debug, test, and optimize existing and new software, hardware, and algorithms. • Collaborate with domain scientists to adapt computational models to emerging technologies and paradigms. • Assemble, configure, and maintain scientific models in computational physics and engineering. • Participate in research and development activities and contribute to proposals. • Establish collaborations with researchers from related fields. • Benchmark and analyze HPC systems and algorithms. • Create and maintain technical documentation. • Present findings at conferences and in publications. • Lead projects of moderate scope and interact with internal stakeholders. • Support Department of Energy Fusion Energy Science (DOE FES) initiatives. • Negotiate project plans and train others on software usage. • Ensure compliance with community standards and department policies. Requirements • 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. • Working experience on submitting, canceling, updating jobs on HPC resources. • Experience in automating processes and reporting. • Advanced skills in HPC hardware and software power and performance analysis and research. • Experience in design, modification, implementation, and deployment of HPC or data science or CI applications and tools. • Proficiency in Julia and Python programming languages. • Experience with revision control tools such as git and GitHub. • Demonstrated ability to interface with management and participate in meetings with PIs and other research collaborators. • Effective communication and interpersonal skills, with the ability to communicate technical information to various audiences. • Strong written and verbal communication skills, including the ability to draft and edit manuscripts for publication. • Self-motivated and able to work independently and as part of a team. • Ability to learn effectively and meet deadlines, including grant, conference, and paper submission deadlines. • Experience in contributing research and technical content to grant proposals. • Ability to collaborate effectively with technical staff, students, faculty, and administrators. • Proven ability to manage multiple concurrent projects and perform well under pressure. • Broad experience in optimizing, benchmarking, HPC performance and power modeling, and analyzing hardware, software, and applications for HPC / data / CI. • Experience in large-scale optimization and statistical model validations. • Knowledge of large-scale data processing and integration. • Proven skills in resolving broad computing / data / CI problems. Nice-to-haves • Experience with large-scale data processing and integration tools. • Familiarity with additional programming languages or tools relevant to HPC and data science. • Experience in leading research projects or teams. Benefits • Flexible work arrangement options including remote work. • Full-time availability during assigned work hours. Apply tot his job Apply To this Job