Cmptl and Data Sci Rsch Spec 3 - 139328

The incumbent will apply skills as a seasoned, experienced IT research professional using computational, computer science, data science, and CI software research and development principles, with relevant domain science knowledge where applicable, along with professional programming concepts for medium-sized projects or portions of larger projects. They will develop and optimize a variety of computational, data science, and CI research tools and components, perform research on current and future HPC, data, and CI technologies, hardware and software projects and work on algorithm development, optimization, programming, performance analysis and / or benchmarking assignments of moderate scope where the tasks involve knowledge of either domain / computer science research requirements and / or CI design / implementation requirements.

The incumbent will also be responsible for developing and implementing AI-based analytics platforms on heterogenous data as well as creating exploratory data interfaces for complex natural language question and support research by data scientists into heterogeneous data analytics is also a crucial aspect of the job.

Additionally, the incumbent will develop training materials and SOPs for the use of cyberinfrastructure related to handling heterogeneous data as well as be responsible for writing technical reports, participating in papers, proposals, and patents, and collaborating with various research groups and technical collaborators., a. "Misconduct" means any violation of the policies governing employee conduct at the applicant's previous place of employment, including, but not limited to, violations of policies prohibiting sexual harassment, sexual assault, or other forms of harassment, or discrimination, as defined by the employer. For reference, below are UC's policies addressing some forms of misconduct:

• UC Sexual Violence and Sexual Harassment Policy
• UC Anti-Discrimination Policy
• Abusive Conduct in the Workplace

• Bachelor's degree in Computer / Computational / Data Science/ Applied Mathematics or Domain Sciences with computer / computational / data specialization or equivalent experience.
• Experience with the use of large language models for multiple data applications is preferred.
• Understanding of data structures, algorithms, computational complexity, and databases.
• Understanding of AI/ML modeling, specifically with large language models.
• Proven ability to understand research computing / data / CI needs, mapping use cases to requirements and how systems / software / infrastructure can support those needs and meet the requirements. Demonstrated ability to develop and implement such solutions. Familiarity with various database classes and eager to learn about databases, indexing, and model-specific databases, as well as planning.
• Proven ability to successfully work on multiple concurrent projects.
• Demonstrated ability to understand project requirements, prepare presentations, and organize demos when necessary.
• Proficiency in Spanish, Chinese, Vietnamese, Tagalog/Filipino, Arabic, Hindi, or Korean is preferred

SPECIAL CONDITIONS

• Job offer is contingent upon satisfactory clearance based on Background Check results.
• This position has recently been accreted by UAW union and will be a part of that union moving forward.

Factors in determining the appropriate compensation for a role include experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. The Hiring Pay Scale referenced in the job posting is the budgeted salary or hourly range that the University reasonably expects to pay for this position. The Annual Full Pay Range may be broader than what the University anticipates to pay for this position, based on internal equity, budget, and collective bargaining agreements (when applicable).

The Mission of the San Diego Supercomputer Center is to translate innovation into practice. SDSC adopts and partners on innovations in industry and academia in the areas of software, hardware, computational and data sciences, and related areas, and translates them into cyberinfrastructure that solves practical problems across any and all scientific domains and societal endeavors. Cyberinfrastructure refers to an accessible, integrated network of high-performance computing, data, and networking resources and expertise, focused on accelerating scientific inquiry and discovery. With more than 250 employees and $30-50M of revenue a year, SDSC is a global leader in the design, development, and operations of cyberinfrastructure. SDSC supports hundreds of multidisciplinary programs spanning a wide variety of domains, from earth sciences and biology to astrophysics, bioinformatics, and health IT. SDSC presently operates multiple large HPC systems ranging from a 120k x86 CPU core general purpose system to a system explicitly designed for Artificial Intelligence and Machine Learning, and a nationally distributed system open for all of academia to integrate with. SDSC offers research data services across the entire vertical stack from universally scalable storage to consulting services on FAIR, Big Data, and AI. SDSC offers a rich set of cloud services both on-premise, in the commercial cloud, and as hybrid services across both. SDSC has three geographic scopes, a national scope supporting cyberinfrastructure for the entire US research and education community, a California scope with a special focus on convergence research that addresses the three dominant threats to CA: Drought, Fire, Earthquakes, and a campus scope focusing on advancing the global impact of SDSC by advancing the research objectives of the UC San Diego faculty, researchers, and students. SDSC impacts researchers at scales from 1,000's to Millions. SDSC annually trains thousands of researchers in cyberinfrastructure tools and software, and supports thousands of individual researchers via Unix accounts on its large HPC systems. SDSC was a leader developing the Science Gateway concept, and continues to be a global leader in its evolution. SDSC operates multiple major such gateways with user communities ranging from the tens of thousands to the millions. SDSC's educational programs includes online courses that have been attended by more than a million students. SDSC is committed to democratizing access to cyberinfrastructure across all of its geographic scopes. SDSC strives towards a culture that supports our employees to be their best, achieve their goals, and enjoy their lives, both professionally and personally.