New

Cmptl and Data Sci Rsch Spec 3 - 138415

University of California - San Diego Medical Centers
United States, California, San Diego
9500 Gilman Drive (Show on map)
Feb 18, 2026
This position has recently been accreted by RP union and will be a part of that union moving forward. This is a UC San Diego Internal Recruitment open to UCSD and UCSD Health System Staff Only UCSD Layoff from Career Appointment: Apply by 02/19/2026 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor. Reassignment Applicants: Eligible Reassignment clients should contact their Disability Counselor for assistance. This position will work a hybrid schedule which includes a combination of working both onsite at La Jolla and remote. DESCRIPTION Established in 1978 at the UC San Diego Medical Center, the Department of Emergency Medicine (DEM) combines the benefits of an internationally renowned university with a large academic hospital. The UC San Diego Medical Center and the DEM is leading an effort, funded by the Federal Office of the National Coordinator, to foster data exchange, interoperability, and clinical integration to improve healthcare efficiency and patient outcomes among San Diego County community healthcare providers. Applies skills as a seasoned, experienced IT research professional. Uses 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. Develops and optimizes a variety of computational, data science, and CI research tools and components. Performs research on current and future HPC, data, and CI technologies, hardware and software projects. Works 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. Under general supervision, this position will be responsible for executing complex data science, data visualization, software development, backend infrastructure development, and data analysis/heuristics tasks related to a prototype system funded by the Advanced Research Projects Agency for Health (ARPA-H) designed to assess and monitor the availability of critical connected infrastructure. Responsibilities include continuous iteration and cleaning of source data set, development and utilization of new digital signal categories, refinement of database architecture, directing development of dashboard UI, communicating importance of work to stakeholders, and guiding development of future iterations of the prototype technology stack. Performs other duties as assigned. MINIMUM QUALIFICATIONS Seven years of related experience, education/training, OR an Bachelor's degree in related area plus three years of related experience/training. Intermediate knowledge of HPC / data science / CI. 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. Demonstrated ability to regularly interface with management. Demonstrated ability to contribute research and technical content to grant proposals. Demonstrated effective communication and interpersonal skills. 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. Proven skills and experience in independently resolving broad computing / data / CI problems using introductory and / or intermediate principles. Self-motivated and works independently and as part of a team. Able to learn effectively and meet deadlines. Thorough 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. Proven ability to successfully work on multiple concurrent projects. 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. Demonstrated broad experience in one or more of the following: optimizing, benchmarking, HPC performance and power modeling, analyzing hardware, software, and applications for HPC / data / CI. Demonstrated experience and ability to collaborate effectively with all levels of staff; technical, students, faculty and administrators Proficient with Python, SQL, InfluxDB, DuckDB, and Grafana SPECIAL CONDITIONS Employment is subject to a criminal background check. Pay Transparency Act Annual Full Pay Range: $97,200 - $182,000 (will be prorated if the appointment percentage is less than 100%) Hourly Equivalent: $46.55 - $87.16 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).