In addition to the salary range listed below, we offer a wealth of benefits to make working at UCI even more rewarding. These benefits may include medical insurance, sick and vacation time, retirement savings plans, and access to a number of discounts and perks. Please utilize the links listed here to learn more about our compensation practices and benefits.

Center for Artificial Intelligence in Diagnostic Medicine (CAIDM)

• Bachelor's degree in Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization or equivalent experience.
• High capacity for critical thinking and independent analysis in solving new problems
• BA degree and 3 years of experience or equivalent combination of education and experience
• Minimum 3 years of experience in radiology IT, PACS networking, and DICOM standards
• Minimum 3 years of experience in extraction, anonymization and processing of medical images
• Expertise in developing new and improving existing automated software data pipelines
• Expertise in data provisioning including access logging, authentication and authorization
• Expertise in manipulation of high-dimensional data using Python (NumPy, scipy, skimage)
• Experience in discovering latent patterns in large datasets
• Experience with software databases such as SQL and MongoDB
• Experience with writing concise and understandable technical documentation
• Experience with source control system such as Git or Subversion
• Demonstrated ability to work collaboratively with a multidisciplinary team
• Demonstrated ability to educate trainees and teach in an academic setting
• Demonstrated clear communication across varying audiences with range of technical skills
• Demonstrated excellent interpersonal skills

• Master's degree in Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization preferred.
• Familiarity with popular machine learning frameworks including Tensorflow, Keras or PyTorch
• Familiarity with programming languages including C/C , Java, HTML, Javascript, Matlab
• Familiarity in common medical imaging research formats (DICOM, Nifti, Analyze, etc)
• Familiarity in image processing software (FSL, ANTs, FreeSurfer, etc)
• Familiarity in advanced imaging processing techniques (coregistration, normalization, etc)
• Experience with working within institutional research or related, higher-education area
• Familiarity with organizational software frameworks including Agile, Lean and/or Kanban
• Knowledge of UC policies and procedure 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.