General Information
| Job Description | CMPTL AND DATA SCI RSCH SPEC 4 | Working Title | Senior Research Computing Facilitator |
|---|---|---|---|
| Job Code | 006028 | Grade | 26 |
| Department Name | Infrastructure and Systems Ops - D01132 | Department Head | Michael Kennedy |
| Supervisor | Charles Forsyth | Effective Date | 04/25/2023 |
Position(s) Directly Supervised
| Job Code | Title | FTE |
|---|
Generic Scope
| Technical leader with a high degree of knowledge in the overall field and recognized expertise in specific areas; problem-solving frequently requires analysis of unique issues/problems without precedent and/or structure. May manage programs that include formulating strategies and administering policies, processes, and resources; functions with a high degree of autonomy. |
Custom Scope
| Applies advanced computational, computer science, data science, and CI software research and development principles, with relevant domain science knowledge where applicable, to perform highly complex research, technology and software development which involve in-depth evaluation of variable factors impacting medium to large projects of broad scope and complexities. Designs, develops, and optimizes components/tools for major HPC/data science/CI projects in diverse research application areas. Resolves complex research and technology development and integration issues. Gives technical presentations to associated research and technology groups and management. Evaluates new hardware and software technologies for advancing complex HPC, data science, CI projects. May represent the organization as part of a team at national and international meetings, conferences and committees. Assists in the design, implementation and recommends new hardware and software technologies for advancing complex HPC, data science, CI projects. May lead a team of research and technical staff. |
Department Custom Scope
| The Senior Research Computing Facilitator position at the University of California, Riverside will play a crucial role in supporting researchers' access to and effective utilization of cutting-edge research computing resources, including the newly established Ursa Major partnership with Google Cloud Platform. The position will apply advanced computational and data science principles to partner with and support highly complex research computing technology, researchers, and research projects. This position will assist with implementing the new cutting-edge Ursa Major research computing service, providing researchers with access to high-performance workstations, auto-scaling HPC clusters, research AI and machine learning services, and secure research storage. This position will take part in the Research Computing Team's commitment to providing a secure research computing infrastructure and support services that will increase research output, grant funding, campus income, and prestige, positioning UCR as a leading R1 research university. The Senior Research Computing Facilitator will report to the Associate Director of Research Computing and occasionally stand in for the AD of Research Computing at departmental or organizational meetings. |
Education & Experience Requirements
Education Requirements
| Degree | Requirement |
|---|---|
| Bachelor's degree in Computer/Computational/Data Science, or Domain Sciences with computer/computational/data specialization or equivalent experience. | Required |
| Master's degree in Computer/Computational/Data Science, or Domain Sciences with computer/computational/data specialization. | Preferred |
Experience Requirements
| Experience | Requirement |
|---|---|
| Experience in developing and implementing policies and procedures to ensure the security and confidentiality of research data and computing resources. | Preferred |
| 6 - 10 years of related experience. | Required |
| Demonstrated experience in evaluating and implementing emerging technologies in the HPC/data science/CI space, and making recommendations to leadership on their potential value to the organization. | Preferred |
| Demonstrated experience in developing and implementing training programs for researchers on the use of research computing resources. | Preferred |
License Requirements
Certification Requirements
| Certification | Requirement |
|---|
Educational Condition Requirements
| Condition | Requirement |
|---|
Key Responsibilities
| Description | % Time |
|---|---|
| Applies advanced HPC/data/CI research and development concepts to plan, design, develop, modify, debug, deploy and evaluate highly complex HPC (software and/or hardware) or data science or computational science or CI software and technologies or combination thereof. Analyzes existing highly complex software, scientific codes, data science/analytics codes/algorithms, and HPC related hardware or works to formulate logic for new and highly complex systems and devises new algorithms. Performs highly complex analysis and tests/debugs highly complex software and hardware. Applies highly complex programming principles. Initiates large and complex research projects with multi-institutional scope in HPC/data/CI areas. May involve collaboration with domain science experts from various research areas such as bioinformatics, GIS, data analytics, computational drug discovery, where applicable to perform these. | 15 |
| Understands and applies advanced research and development practices, community standards and department policies and procedures. May serve as technical lead for multiple research and development projects of moderate to broad scope and lead a team of researchers and technical staff. Enforces and manages research and development project plans with interested collaborators, stakeholders and users as applicable. | 15 |
| Design and develop highly complex software and hardware solutions for specific research projects, working closely with domain science experts to understand their unique computational and data analysis needs and tailoring solutions accordingly. | 15 |
| Performs in depth benchmarking, profiling and analysis of HPC hardware or scientific codes, or data science/analytics codes/algorithms or tests, optimizes and develops complex CI software. Interprets results of profiling, identify inefficiencies, and develops algorithmic/coding/workflow optimizations to enhance performance and capabilities. | 10 |
| Performs in-depth evaluation of usage modes, capabilities, characteristics and performance of multiple highly complex HPC/data science/CI/domain science software and tools and makes expert usage recommendations based on analysis. Publishes and presents, based on research and development work, results about cyber-infrastructure tools, HPC systems, data science techniques and tools, performance and algorithm enhancement in research venues to attract usage from domain science communities, or to promote latest technologies within the community. May represent the organization as part of a team at national and international meetings, conferences and committees. | 10 |
| Stay current with emerging trends and best practices in HPC, data science, and CI research and development, attending relevant conferences, workshops, and training sessions to expand knowledge and skills in these areas. | 10 |
| Collaborates with cross-functional teams to develop and implement complex research and development plans for cutting-edge Ursa Major HPC, Workstation, AI/ML and data science technologies. | 10 |
| Specifies, develops, implements and executes highly complex software and hardware research and development plans. Performs or directs highly complex HPC, computational and data modeling, performance and integration testing. Works with research communities to develop, implement, and optimize computational and data analysis/analytics software/tools/algorithms/research codes with broad applicability. | 5 |
| Initiates and contributes to HPC/data science/CI research proposals with partners internal and external to the institution, in collaboration with other researchers and PIs. May lead a proposal of small to moderate size as a PI. | 5 |
| Collaborate with other members of the Research Computing team to provide technical guidance and mentorship to junior staff and student employees, helping to cultivate a community of skilled HPC/data science/CI professionals within the organization. | 5 |
Knowledge, Skills & Abilities
| Knowledge/Skill/Ability | Requirement |
|---|---|
| Demonstrated ability to initiate research proposals and acquire funding. | Required |
| In depth experience assessing a broad spectrum of technical and research needs and demands and establish priorities, delegate and/or lead development of solutions to meet such needs. | Required |
| In depth ability to successfully work and/or lead multiple concurrent projects. Demonstrated research and technology project leadership and management skills. | Required |
| Advanced 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. | Required |
| Demonstrated ability to regularly, effectively communicate with unit-level management. | Required |
| Advanced knowledge of HPC/data science/CI. | Required |
| Demonstrated advanced experience in one or more of the following: optimizing, benchmarking, HPC performance and power modeling, analyzing hardware, software, and applications for HPC/data/CI. | Required |
| Highly 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 of large-scale scope. | Required |
| Self-motivated and works independently and as part of a team. | Required |
| 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. | Required |
| In depth skills and experience in independently resolving complex computing/data/CI problems using introductory and/or intermediate principles. | Required |
| Ability to develop and maintain relationships with vendors and industry partners to stay current with the latest research computing technologies and resources. | Preferred |
| Strong project management and organizational skills to coordinate and manage multiple projects and stakeholders. | Preferred |
| Knowledge of best practices for data management, storage, and security in research computing environments, and the ability to provide guidance and support to researchers on these topics. | Preferred |
| Ability to develop and deliver training and educational materials to researchers and technical staff on the effective use of HPC, data science, and CI tools and resources. | Preferred |
Special Requirements & Conditions
| Special Condition | Requirement |
|---|---|
| Must pass a background check. | Required |
| Travel Outside of Normal Business Hours | Required |
| Occasional travel for university related business meetings, conferences and/or professional development. | Required |
Other Special Requirements & Conditions
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Level of Supervision Received
| Direction |
Environment
Working Environment
| Remote (working from home) with occasional visits to the UCR campus as required. |
Other Requirements
Items Used
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Physical Requirements
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Mental Requirements
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Environmental Requirements
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Critical Position
| Is Critical Position: Yes |