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 Now
Apply Now
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 Now
Apply Now