Principle AI Reproducibility Staff Researcher

Details

Posted: 19-Mar-24

Location: La Jolla, California

Salary: Open

Categories:

Other Staff/Administrative
Staff/Administrative

Internal Number: 128819

Job Description/Title is Pending Classification.

UCSD Layoff from Career Appointment: Apply by 3/20/24for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor.

Special Selection Applicants: Apply by 3/29/24. Eligible Special Selection clients should contact their Disability Counselor for assistance.

DESCRIPTION

DEPARTMENT OVERVIEW:

As an Organized Research Unit of UC San Diego, the San Diego Supercomputer Center (SDSC) is considered a leader in data-intensive computing and cyberinfrastructure, providing resources, services, and expertise to the national research community, including industry and academia. Cyberinfrastructure refers to an accessible, integrated network of computer-based resources and expertise, focused on accelerating scientific inquiry and discovery. SDSC supports hundreds of multidisciplinary programs spanning a wide variety of domains, from earth sciences and biology to astrophysics, bioinformatics, and health IT. SDSC launched Comet, a petascale supercomputer that joins the Center's data-intensive Gordon cluster. SDSC is a partner in XSEDE (eXtreme Science and Engineering Discovery Environment), the most advanced collection of integrated digital resources and services in the world.

The Research Data Services (RDS) Division of SDSC is responsible for providing a full range of CI services funded by recharge, contracts and grants and state funds. Services provided by the division include: Research data services, a Co-Location facility; server hosting and management (Windows, Linux and Solaris); Microsoft and Virtualized Services, networking; desktop support services; and data storage.

POSITION OVERVIEW:

Having wide-ranging, extensive experience with computational, computer science, data science, and CI software research and development principles, with relevant domain science knowledge where applicable, performs up to and including the most complex research, technology and software development projects with sitewide, institution-wide and / or multi-institutional scope. Represents organization at national and international meetings, conferences and committees. Considered a research and technology expert in multiple aspects of computation, data science, information science, and cyberinfrastructure. Advises on and resolves highly complex research and technology projects or issues. Directs the design, implementation and selection of new hardware and software technologies for advancing complex HPC, data science, and CI projects. Presents research and technical briefings to senior management, institution-wide, national and international audiences. Contributes to the research and technical direction in one or more technical specialties. Performs advanced research and technology development to contribute to design of future HPC, data science, and CI hardware and software systems. As a recognized national expert in CI-heavy, computational and data science offerings, the incumbent will identify gaps in the current ecosystem needed by researchers, suggesting new research data services and strategic competencies to develop. This position will find, initiate, design, and lead/co-lead data intensive research proposals with domain scientists, especially in the geosciences, astro/HEP, and biomedical sciences. The incumbent will identify, author, and host trainings and workshops to disseminate research and research products, including new platforms and services, as well as to build community and map the science landscape.

QUALIFICATIONS

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

Expert knowledge of HPC / data science / CI. Expert knowledge in computational and data science architectures, HTC/HPC architectures, and data science modeling and ontologies.

Demonstrated ability to effectively communicate with executive-level management on a regular basis as well as funding agency program managers / directors. Established relationships with funders, both government agencies and foundations.

Demonstrated ability to develop and lead one or multi-institutional national scale proposals and acquire funding. Demonstrated experience leading NIH, NSF, DOD, or other federally-funded projects.

Demonstrated expert experience in one or more of the following: optimizing, benchmarking, HPC performance and power modeling, analyzing hardware, software, and applications for HPC / data / CI. Extensive expert knowledge of cloud systems and architectures, and the interplay of cloud (HTC) and HPC.

Expert skills and experience

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