Research Analyst, Radiology & Imaging Sci

Arizona International; Tucson (AZ); On-site; USD 66,000 - 85,000; Part time

Benefits offered by this job

Full Benefits

Job summary

The University of Arizona is seeking a Research Analyst in Radiology & Imaging Sciences to support prototype AI tool development, data collection, and analysis under close supervision. You will help draft research materials and publications while gaining exposure to blinded data curation and basic model validation.

Entry-level role with detailed instruction; visa sponsorship is not available. Competitive benefits and a collaborative lab environment are offered to support your growth in

Qualifications

• Bachelor's degree or equivalent experience required.
• Up to 1 year of relevant work experience required.

Responsibilities

• Develop, implement, and test prototype AI tools for healthcare research.
• Prepare datasets, run tests, and document model performance.
• Maintain documentation and records of data processing methods.

Skills

Python

Machine Learning

LLMs

Computer Vision

Written Communication

Education

Bachelor's degree in Computer Science or related field

Master's degree (preferred)

Job description

Research Analyst, Radiology & Imaging Sci

Job Details

• Posting Number: req27242
• Department: Radiology & Imaging Sci Dept
• Location: Tucson Campus
• Address: Tucson, AZ USA

Position Highlights

This position supports research activities within the Tushar Lab, Department of Radiology and Imaging Sciences. Under the direction of the Principal Investigator, the Research Analyst will assist with building and testing prototype AI tools, support data collection and analysis, and contribute to drafting research materials and publications. This is an entry-level position performed with detailed instruction and close supervision.

Visa sponsorship is not available for this positions.

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,

Duties & Responsibilities

• Assist with the development, implementation, and testing of prototype AI, machine learning, and intelligent software tools to support healthcare and medicine research objectives.
• Support model evaluation activities by preparing clinical, simulated, and synthetic datasets; running tests; and documenting system performance and results.
• Assist with troubleshooting, debugging, and refining prototype tools under the direction of the PI.
• Maintain documentation of development activities, testing procedures, and technical findings related to research prototypes and data-centric AI tools.
• Collect, organize, and maintain research datasets from approved sources in accordance with project protocols.
• Perform data cleaning, validation, and preprocessing activities to prepare data for analysis and model development.
• Conduct basic data analysis and prepare summaries, visualizations, and reports to support research activities.
• Maintain accurate records of data processing methods and ensure compliance with established data management practices and project protocols.
• Assist with literature reviews and contribute to the preparation of manuscripts, abstracts, technical reports, and other scholarly materials related to data-centric AI, healthcare, and medicine.
• Draft and edit research documentation, reports, figures, and presentation materials under the guidance of the PI.
• Support the preparation and communication of research findings related to AI tools, data discovery, and integrated datasets for publication and presentation at conferences, meetings, and other dissemination activities.
• Coordinate revisions and maintain organized records of references, citations, and publication-related materials.

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 experience required.
• Up to 1 year of relevant work experience required.

Preferred Qualifications

• Proficient in Python programming; familiar with machine learning, LLMs, and computer vision; strong written communication skills for research documentation and publications; able to work well in a lab setting; strong programming skills.
• Bachelor's/Master's degree in Computer Science, Data Science, or a related field (or equivalent combination of education and experience).

Compensation & Benefits

• FLSA: Exempt
• Full Time/Part Time: Part Time
• Number of Hours Worked per Week: 36
• Job FTE: 0.9
• Work Calendar: Fiscal
• Job Category: Research
• Benefits Eligible: Yes - Full Benefits
• Rate of Pay: $65,687 - $85,393
• Compensation Type: salary at 1.0 full-time equivalency (FTE)
• Grade: 9
• 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: PC1
• 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

Other Information

• Contact Information for Candidates: Fakrul Islam Tushar, [e-mail] and Maria Telles, [e-mail]
• Open Date: 10/2/2026
• Open Until Filled: Yes
• Documents Needed to Apply: Resume and Cover Letter