Cmptl and Data Sci Rsch Spec 4 – 127682

UCSD Layoff from Career Appointment: Apply by 1/24/24 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor.

Special Selection Applicants: Apply by 2/2/24. Eligible Special Selection clients should contact their Disability Counselor for assistance.

DEPARTMENT OVERVIEW:

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.

At SDSC, the Cyberinfrastructure and Convergence Research and Education (CI-CRE) Division combines broad expertise in cyberinfrastructure with deep, domain specific expertise in AI-enabled science to build use-inspired solutions to grand societal challenges at scale with partners in research communities, practical communities, and industry. The Division is committed to providing online, post-doctoral, and experiential education opportunities with a focus on broadening participation for underrepresented groups.

POSITION OVERVIEW:

The incumbent will apply 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. They will design, develop, and optimize components / tools for major HPC / data science / CI projects, resolve complex research and technology development and integration issues and give technical presentations to associated research and technology groups and management. They will also evaluate new hardware and software technologies for advancing complex HPC, data science, CI projects and may represent the organization as part of a team at national and international meetings, conferences and committees. The incumbents will also assist in the design, implementation and recommends new hardware and software technologies for advancing complex HPC, data science, CI projects and may lead a team of research and technical staff.

The incumbents will serve as a technical lead in the research and development of multiple research projects in computational data science, enhance and develop techniques for modeling, querying and integrating scientific data including biological, social media and environmental sensor information and work with international science collaborators to develop requirement specifications for their data science and computing tasks, and develop a research and development plan to execute the tasks. Additionally, they will develop architectures for data storage, access, integration by storing the information on multiple standard DBMS platforms including Oracle, DB2, PostGres, SQL Server, MySQL etc., as well as semistructured and textual data using XML, graph and Text data management platforms.

The incumbents will also further UCSD’s educational goal of becoming a worldwide leader in educational innovation, by designing and developing online training programs and hands on material on complex data science and computing topics, to accelerate wide spread use of Computer Science tools and infrastructure in diverse fields.

They will use data mining and graph analytics methods and software libraries, computational workflows, cloud computing middleware and visualization software, administer data systems and platforms in including Spark, STORM, and Hadoop on an application basis and interact with end-users, to assess the data science and computational capabilities of users; collaborate with scientific research faculty to develop both new research and novel data science applications that are maximally useful for the science research community; collaborate with other local and national and international online science data resources to optimize for interoperability with these sites; and interact with other Computer Science researchers in the field to incorporate or extend their research tools for our applications.

For more information, please visit: https://www.sdsc.edu/

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

Demonstrated knowledge of design principles and guidelines for area of expertise (i.e., visual design, interaction design, information / data visualization, user interface software). Attention to detail and mastery of information design. Understanding of the user-centered design process (user research, user needs assessment, user modeling, design, usability evaluation and developer relations).

Demonstrated experience implementing user interface design best practices and guidelines in websites and / or production software. Working experience in web application development and programming. Excellent programming skills and in-depth knowledge of Python, PHP, MySQL, Javascript, JQuery, and HTML5/CSS.

Working knowledge of GIS data formats and tools. Experience with open source GIS tools such as Leaflet, GeoServer, and GDAL is a plus. Experience in data modeling.

Demonstrated skills and knowledge of web design and software development as it relates to client/server models, data-entry forms, and the browser as an application platform. Understanding of design principles, guidelines and relevant policies including web accessibility standards.

Experience with general purpose object-oriented programming, including Java, Python, Scala, or JavaScript and ability to build working prototype solutions.

• Job offer is contingent upon satisfactory clearance based on Background Check results.

• Must be willing and able to travel.

Pay Transparency Act

Annual Full Pay Range: $112,100 – $216,500 (will be prorated if the appointment percentage is less than 100%)

Hourly Equivalent: $53.69 – $103.69

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).

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