Director, Imaging IT Innovation

University of California San Francisco•San Francisco, CA

About The Position

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. The Director, Imaging IT Innovation will play a key role in advancing AI by the clinical translation of research discoveries, including artificial intelligence (AI) applications, into routine clinical radiology practice and education. This position will support the development and implementation of education and research platforms that integrate with clinical operations, such as systems for education file management, data curation, and anonymization. This position will collaborate closely with the Department Chair and Vice-Chair for Research to lead the department’s Center for Intelligent Imaging in promoting translational initiatives; the position will partner with the Director for Clinical Analytics to enhance data-driven approaches that strengthen clinical care, education, and scientific productivity across the department. Furthermore, the position will provide strategic partnership to the department leadership to complete clinically focused research projects and contributes to departmental strategy to advance imaging research integration, clinical excellence, and digital innovation in an academic setting. The final salary and offer components are subject to additional approvals based on UC policy. Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification at UCSF. For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement. The salary range for this position is $121,900 - $277,100 (Annual Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html

Requirements

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

Nice To Haves

Clinical Data Model certification (Epic)
Caboodle Data Model certification (Epic)
Clarity Data Model certification (Epic)
Tableau Developer certification
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

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