Research Scientist Visa Sponsorship Jobs in Arizona
Research scientist roles in Arizona are concentrated around the Phoenix metro, Tucson, and major research institutions including the University of Arizona, Arizona State University, and Banner Health. Employers like Intel, Honeywell, and Raytheon regularly hire research scientists and have established track records of sponsoring work visas for qualified international candidates.
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Get Access To All JobsINTRODUCTION
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.
Duties & Responsibilities
Advanced AI/ML Development & Technical Consulting:
- Develop, validate, and deploy advanced statistical, machine learning, and deep learning predictive models to generate actionable insights for institutional and research stakeholders.
- Design and implement Natural Language Processing (NLP) pipelines, text vectorization methods, and unstructured data workflows to extract strategic value from large-scale textual datasets and institutional documents.
- Serve as an internal consultant for campus researchers and units, advising on model selection, feature engineering, fine-tuning LLMs with custom datasets, validation frameworks, and production deployment strategies.
- Systematically evaluate model performance utilizing advanced testing and verification frameworks to ensure accuracy, stability, and operational efficiency.
Educational Programming, Curriculum Design & Assessment:
- Design, implement, and facilitate high-impact AI/ML, data science, and generative AI training programs, workshops, and self-paced learning modules tailored for various university audiences (faculty, staff, and students).
- Create rigorous educational materials focused on applied machine learning, prompt engineering frameworks, transformer dynamics, and responsible AI development.
- Establish institutional benchmarks and best practices for AI/ML education that seamlessly align with the Office of Responsible AI (ORAI) governance principles.
- Deploy robust formative and summative learning assessment tools to measure AI literacy gains, track training efficacy, and continuously refine programming to reflect evolving industry standards.
Responsible AI, Governance & Strategic Alignment:
- Operationalize responsible AI practices across the institution, directly guiding stakeholders on algorithmic bias mitigation, model reproducibility, transparency, and data privacy.
- Partner with colleges, research units, and administrative divisions to identify emerging AI/ML needs, influence data governance policies, and develop collaborative, data-driven solutions.
- Translate highly complex, technical AI/ML and NLP concepts into accessible, strategic guidance and executive summaries for university leadership and non-technical audiences.
- Contribute actively to AI strategy alignment and knowledge exchange with external and internal academic, research, and industry partners.
Grant Writing & Program Sustainability:
- Draft and co-author high-quality, multidisciplinary grant proposals and technical funding applications to secure external resources for programmatic sustainability.
- Partner with cross-functional campus investigators to seamlessly integrate technical data specifications, AI/ML research objectives, budget justifications, and educational project milestones into compelling reviewer narratives.
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.
This job posting reflects the general nature and level of work expected of the selected candidate(s). It is not intended to be an exhaustive list of all duties and responsibilities. The institution reserves the right to amend or update this description as organizational priorities and institutional needs evolve.
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
Compensation Guidance The Rate of Pay Field represents the University of Arizona’s good faith and reasonable estimate of the range of possible compensation at the time of posting. The University considers several factors when extending an offer, including but not limited to, the role and associated responsibilities, a candidate’s work experience, education/training, key skills, and internal equity.
The Grade Range represent a full range of career compensation growth over time. The university offers compensation growth opportunities within its career architecture. To learn more about compensation, please review our Applicant Compensation Guide and our Total Rewards Calculator.
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@arizona.edu
Open Date 7/22/2026
Open Until Filled Yes
Documents Needed to Apply Resume and Cover Letter
Special Instructions to Applicant
Notice of Availability of the Annual Security and Fire Safety Report In compliance with the Jeanne Clery Campus Safety Act (Clery Act), each year the University of Arizona releases an Annual Security Report (ASR) for each of the University’s campuses. These reports disclose information including Clery crime statistics for the previous three calendar years and policies, procedures, and programs the University uses to keep students and employees safe, including how to report crimes or other emergencies and resources for crime victims. As a campus with residential housing facilities, the Main Campus ASR also includes a combined Annual Fire Safety report with information on fire statistics and fire safety systems, policies, and procedures.
Paper copies of the Reports can be obtained by contacting the University Compliance Office at cleryact@arizona.edu.
INTRODUCTION
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.
Duties & Responsibilities
Advanced AI/ML Development & Technical Consulting:
- Develop, validate, and deploy advanced statistical, machine learning, and deep learning predictive models to generate actionable insights for institutional and research stakeholders.
- Design and implement Natural Language Processing (NLP) pipelines, text vectorization methods, and unstructured data workflows to extract strategic value from large-scale textual datasets and institutional documents.
- Serve as an internal consultant for campus researchers and units, advising on model selection, feature engineering, fine-tuning LLMs with custom datasets, validation frameworks, and production deployment strategies.
- Systematically evaluate model performance utilizing advanced testing and verification frameworks to ensure accuracy, stability, and operational efficiency.
Educational Programming, Curriculum Design & Assessment:
- Design, implement, and facilitate high-impact AI/ML, data science, and generative AI training programs, workshops, and self-paced learning modules tailored for various university audiences (faculty, staff, and students).
- Create rigorous educational materials focused on applied machine learning, prompt engineering frameworks, transformer dynamics, and responsible AI development.
- Establish institutional benchmarks and best practices for AI/ML education that seamlessly align with the Office of Responsible AI (ORAI) governance principles.
- Deploy robust formative and summative learning assessment tools to measure AI literacy gains, track training efficacy, and continuously refine programming to reflect evolving industry standards.
Responsible AI, Governance & Strategic Alignment:
- Operationalize responsible AI practices across the institution, directly guiding stakeholders on algorithmic bias mitigation, model reproducibility, transparency, and data privacy.
- Partner with colleges, research units, and administrative divisions to identify emerging AI/ML needs, influence data governance policies, and develop collaborative, data-driven solutions.
- Translate highly complex, technical AI/ML and NLP concepts into accessible, strategic guidance and executive summaries for university leadership and non-technical audiences.
- Contribute actively to AI strategy alignment and knowledge exchange with external and internal academic, research, and industry partners.
Grant Writing & Program Sustainability:
- Draft and co-author high-quality, multidisciplinary grant proposals and technical funding applications to secure external resources for programmatic sustainability.
- Partner with cross-functional campus investigators to seamlessly integrate technical data specifications, AI/ML research objectives, budget justifications, and educational project milestones into compelling reviewer narratives.
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.
This job posting reflects the general nature and level of work expected of the selected candidate(s). It is not intended to be an exhaustive list of all duties and responsibilities. The institution reserves the right to amend or update this description as organizational priorities and institutional needs evolve.
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
Compensation Guidance The Rate of Pay Field represents the University of Arizona’s good faith and reasonable estimate of the range of possible compensation at the time of posting. The University considers several factors when extending an offer, including but not limited to, the role and associated responsibilities, a candidate’s work experience, education/training, key skills, and internal equity.
The Grade Range represent a full range of career compensation growth over time. The university offers compensation growth opportunities within its career architecture. To learn more about compensation, please review our Applicant Compensation Guide and our Total Rewards Calculator.
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@arizona.edu
Open Date 7/22/2026
Open Until Filled Yes
Documents Needed to Apply Resume and Cover Letter
Special Instructions to Applicant
Notice of Availability of the Annual Security and Fire Safety Report In compliance with the Jeanne Clery Campus Safety Act (Clery Act), each year the University of Arizona releases an Annual Security Report (ASR) for each of the University’s campuses. These reports disclose information including Clery crime statistics for the previous three calendar years and policies, procedures, and programs the University uses to keep students and employees safe, including how to report crimes or other emergencies and resources for crime victims. As a campus with residential housing facilities, the Main Campus ASR also includes a combined Annual Fire Safety report with information on fire statistics and fire safety systems, policies, and procedures.
Paper copies of the Reports can be obtained by contacting the University Compliance Office at cleryact@arizona.edu.
Research Scientist Job Roles in Arizona
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Search Research Scientist Jobs in ArizonaResearch Scientist Jobs in Arizona: Frequently Asked Questions
Which companies sponsor visas for research scientists in Arizona?
Intel, Honeywell, and Raytheon are among the largest employers of research scientists in Arizona with documented histories of H-1B visa sponsorship. The University of Arizona and Arizona State University also sponsor research scientists, particularly through academic and postdoctoral appointments. Biotechnology firms in the Phoenix area and semiconductor companies tied to TSMC's expanding Chandler campus have also increased research hiring in recent years.
Which visa types are most common for research scientist roles in Arizona?
The H-1B is the most common visa for research scientists in Arizona, as these roles typically require a bachelor's degree or higher in a specific scientific field, meeting the specialty occupation standard. Academic research positions at the University of Arizona or Arizona State University may also use the J-1 visa exchange visitor visa for postdoctoral researchers. Scientists with exceptional credentials may qualify for the O-1A or EB-1A, which do not require employer sponsorship in the same way.
Which cities in Arizona have the most research scientist sponsorship jobs?
Phoenix and its surrounding metro area, including Tempe, Chandler, and Scottsdale, account for the majority of research scientist sponsorship jobs in Arizona, driven by aerospace, semiconductor, and technology employers. Tucson is the second most active market, anchored by the University of Arizona and defense contractors such as Raytheon. Flagstaff has a smaller but active research community tied to Northern Arizona University and environmental science.
How to find research scientist visa sponsorship jobs in Arizona?
Migrate Mate is built specifically for international job seekers and filters research scientist roles in Arizona by visa sponsorship history, so you are not sorting through listings that offer no sponsorship. The platform draws on employer H-1B filing data, which is particularly useful for identifying which Arizona labs, universities, and technology companies have sponsored research scientists in the past. Filtering by location and role on Migrate Mate gives you a targeted list to focus your applications.
Are there any Arizona-specific considerations for research scientist visa sponsorship?
Arizona's growing semiconductor industry, accelerated by TSMC's fabrication plant in Chandler, has increased demand for research scientists in materials science, electrical engineering, and related fields, which may expand sponsorship opportunities beyond traditional academic pipelines. Research scientists at Arizona public universities are often sponsored under cap-exempt H-1B petitions, meaning they are not subject to the annual lottery. Candidates coming through university postdoctoral programs should confirm with their institution whether their appointment qualifies for cap-exempt status.
What is the prevailing wage for sponsored research scientist jobs in Arizona?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.