University of California, San Francisco · 16 hours ago
006028 CMPTL AND DATA SCI RSCH SPEC 4
The University of California, San Francisco is a leading university dedicated to promoting health worldwide. The Director, Imaging IT Innovation will play a key role in advancing AI by translating research discoveries into clinical radiology practice and education, while collaborating with department leadership to enhance data-driven approaches and promote translational initiatives.
AssociationBiotechnologyEducationMedicalPharmaceutical
Responsibilities
Applies 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
Designs, develops, and optimizes components / tools for major HPC / data science / CI projects
Resolves complex research and technology development and integration issues
Gives technical presentations to associated research and technology groups and management
Evaluates new hardware and software technologies for advancing complex HPC, data science, CI projects
May represent the organization as part of a team at national and international meetings, conferences and committees
Assists in the design, implementation and recommends new hardware and software technologies for advancing complex HPC, data science, CI projects
May lead a team of research and technical staff
Qualification
Required
Bachelor's degree in computer / computational / data science, or Domain Sciences with computer / computational / data specialization or equivalent experience
Minimum of 5 years of related experience
Advanced knowledge of HPC / data science / CI
Highly 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 of large-scale scope
Demonstrated ability to regularly, effectively communicate with unit-level management
Demonstrated ability to initiate research proposals and acquire funding
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
In depth skills and experience in independently resolving complex computing / data / CI problems using introductory and / or intermediate principles
Self-motivated and works independently and as part of a team
Advanced 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
In depth ability to successfully work and / or lead multiple concurrent projects. Demonstrated research and technology project leadership and management skills
In depth experience assessing a broad spectrum of technical and research needs and demands and establish priorities, delegate and / or lead development of solutions to meet such needs
Demonstrated advanced 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 understanding of healthcare IT standards (DICOM/DICOMweb, HL7, FHIR and IHE)
Familiarity with the day-to-day operational issues associated with clinical PACS and RIS environment
Extensive familiarity and experience with reporting and analytics tools such as Tableau, Altosoft Insight, Epic Clarity/Caboodle, etc
Extensive familiarity and experience with development programming: Development (Java, JavaScript, HTML/CSS, C#, C++, Python, PowerShell and more)
Experience with imaging AI development, data pipelines, or enterprise-level informatics platform design in an academic medical center (OpenAI, vector databases, etc.)
Strong understanding of database design and management, with experience in PostgreSQL, MySQL, Oracle and SQL Server
Demonstrated success in integrating research innovations and IT systems into clinical imaging operations
Clinical Data Model certification (Epic)
Caboodle Data Model certification (Epic)
Clarity Data Model certification (Epic)
Tableau Developer certification
Preferred
Master's degree in computer / computational / data science, or Domain Sciences with computer / computational / data specialization preferred
PhD in health care information technology, computer science, medical informatics or related area
Minimum of 10 years of progressively responsible experience in imaging informatics, translational research, or clinical data science within an academic or healthcare environment
Strong leadership and project management skills with a record of fostering multidisciplinary collaboration
Company
University of California, San Francisco
University of California, San Francisco is an educational institution that focuses on medical courses.
H1B Sponsorship
University of California, San Francisco has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (365)
2024 (342)
2023 (308)
2022 (306)
2021 (241)
2020 (268)
Funding
Current Stage
Late StageTotal Funding
$52.45MKey Investors
California Institute for Regenerative MedicineBaldrick's FoundationNational Institute on Aging
2025-01-30Grant· $11.9M
2023-11-21Grant
2023-10-03Grant
Leadership Team
Recent News
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