AI Research Scientist
Listed on 2026-07-25
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IT/Tech
Data Scientist, AI Engineer (Applied/Software)
AI Research Scientist
The Office of Responsible AI (ORAI) at the University of Arizona is looking for an AI Research Scientist. This position will lead the development, oversight, and management of AI/ML and data science training initiatives across the University of Arizona. The incumbent will work onsite at the University of Arizona serving as a technical leader and consultant by developing predictive models, operationalizing generative AI frameworks, and applying advanced NLP and unstructured text analytics to extract strategic insights from complex datasets.
Outstanding U of A benefits include health, dental, and vision insurance plans; life insurance and disability programs; paid vacation, sick leave, and holidays; U of A/ASU/NAU tuition reduction for the employee and qualified family members; retirement plans; access to U of A recreation and cultural activities; and more! The University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocations services, please .
Duties & Responsibilities
- Advanced AI/ML Development & Technical Consulting
- Educational Programming, Curriculum Design & Assessment
- Responsible AI, Governance & Strategic Alignment
- Grant Writing & Program Sustainability
Knowledge, Skills, and Abilities:
- Comprehensive understanding of AI ethics, including bias mitigation, model reproducibility, transparency, data governance, and policy compliance.
- Skilled in drafting high-quality, multidisciplinary grant proposals.
- Skilled in utilizing real-world case studies, accessible analogies, and practical applications to help understand and ethically apply AI tools.
Minimum Qualifications
- Bachelor's degree or equivalent advanced learning attained through professional level experience required. Master's Degree required.
- Minimum of 8 years of relevant work experience, or equivalent combination of education and work experience.
Preferred Qualifications
- Experience with demystifying advanced AI/ML concepts - such as deep learning, predictive modeling, and algorithmic bias - for non-technical audiences.
- Experience in planning, delivering, and managing high-impact synchronous workshops and self-paced learning modules for various university audiences - faculty, staff, and students.
FLSA
- Exempt
Full Time/Part Time
- Full Time
Number of Hours Worked per Week - 40
Job FTE - 1.0
Work Calendar
- Fiscal
Job Category
- Research
Benefits Eligible
- Yes
- Full Benefits
Rate of Pay - $86,870 - $112,932
Compensation Type - salary at 1.0 full-time equivalency (FTE)
Grade - 11
Career Stream and Level - PC4
Job Family
- Research & Data Analysis
Job Function
- Research
Type of criminal background check required:
- Name-based criminal background check (non-security sensitive)
Number of Vacancies - 1
Contact Information for Candidates
- Julie Emms | jemms
Open Date - 7/22/2026
Open Until Filled
- Yes
Documents Needed to Apply
- Resume and Cover Letter
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