Computational & Data Science Research Specialist 3
Posted 2025-08-15
Remote, USA
Full Time
Immediate Start
About the position
The Computational & Data Science Research Specialist 3 position at the University of California San Diego is centered on the design, development, modification, and evaluation of complex high-performance computing (HPC), computational science, and data science software systems. The successful candidate will engage in both existing and new software, hardware, and algorithms, undertaking tasks such as debugging, performance testing, and optimization. This role requires collaboration with domain scientists to adapt computational models to emerging technologies and paradigms, ensuring the accuracy of results and contributing to the development of integrated modeling frameworks. Additionally, the specialist will be responsible for assembling, configuring, and maintaining scientific models in fields such as computational physics and engineering. In this role, the candidate will also participate in research and development activities, contributing to proposals and establishing collaborations with researchers from related fields. Responsibilities include benchmarking and analyzing HPC systems and algorithms, creating and maintaining technical documentation, and presenting findings at conferences and in publications. The position may involve leading projects of moderate scope, interacting with internal stakeholders, and supporting Department of Energy Fusion Energy Science (DOE FES) initiatives. The specialist will negotiate project plans, train others on software usage, and ensure compliance with community standards and department policies. This position may offer a flexible work arrangement, which could include a non-standard work schedule and/or the ability to work off-site part of the time. The employee is expected to be available full-time during assigned work hours, which will be discussed with the supervisor. Remote work is also an option, requiring a remote work agreement, and can be performed from anywhere in the United States.
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
The Computational & Data Science Research Specialist 3 position at the University of California San Diego is centered on the design, development, modification, and evaluation of complex high-performance computing (HPC), computational science, and data science software systems. The successful candidate will engage in both existing and new software, hardware, and algorithms, undertaking tasks such as debugging, performance testing, and optimization. This role requires collaboration with domain scientists to adapt computational models to emerging technologies and paradigms, ensuring the accuracy of results and contributing to the development of integrated modeling frameworks. Additionally, the specialist will be responsible for assembling, configuring, and maintaining scientific models in fields such as computational physics and engineering. In this role, the candidate will also participate in research and development activities, contributing to proposals and establishing collaborations with researchers from related fields. Responsibilities include benchmarking and analyzing HPC systems and algorithms, creating and maintaining technical documentation, and presenting findings at conferences and in publications. The position may involve leading projects of moderate scope, interacting with internal stakeholders, and supporting Department of Energy Fusion Energy Science (DOE FES) initiatives. The specialist will negotiate project plans, train others on software usage, and ensure compliance with community standards and department policies. This position may offer a flexible work arrangement, which could include a non-standard work schedule and/or the ability to work off-site part of the time. The employee is expected to be available full-time during assigned work hours, which will be discussed with the supervisor. Remote work is also an option, requiring a remote work agreement, and can be performed from anywhere in the United States.
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