The Department of Anesthesiology employs over 200 academic and staff personnel and has an annual operating budget of $40 million in annualized resources between Practice Plan Revenues, VAMC funding, Hospital and Medical Group Funding, UC Foundation, Research Sources and School of Medicine Funds. There are over 60 clinical faculty, 12 Ph.D, faculty and post docs, 36 residents, 8 clinical fellows, 27 Certified Nurse Anesthetists, 1 Physician Assistant and four bargaining units represented. The Department provides Clinical Anesthesia, Critical Care and Pain Services at Hillcrest, Thornton, Shiley, Children's and the VAMC. The Department operates a Pain Clinic at Perlman. The Department's research programs include bench and clinical research programs located at the VAMC, MTF, CTF, Hillcrest, Thornton and Sanford Consortium for Regenerative Medicine.

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.

• Seven years of related experience, education/training, OR an Bachelor's degree in related area plus two 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

• Demonstrated experience with python and machine learning libraries and familiarity with AWS

• Employment is subject to a criminal background check.