Research Analyst, Radiology & Imaging Sci

University of Arizona College of Medicine - Phoenix; Tucson (AZ); On-site; USD 66,000 - 85,000; Part time

Benefits offered by this job

Full Benefits

Tuition reduction for employee

Job summary

University of Arizona is seeking a Research Analyst in Radiology & Imaging Sciences to assist with AI tool development, data collection, analysis, and scholarly writing. This entry-level role requires close supervision and supports prototype healthcare AI work at the Tucson Campus.

Key duties include data preparation, model evaluation, literature reviews, and preparation of manuscripts. The position offers part-time hours and full benefits with opportunities for growth in a research-focused

Qualifications

• Bachelor's degree or equivalent advanced learning attained through experience.
• Up to 1 year of relevant work experience.

Responsibilities

• Assist with development, implementation, and testing of prototype AI and ML tools for healthcare research.
• Prepare clinical, simulated, and synthetic datasets; run tests and document outcomes.
• Troubleshoot, debug, and refine prototype tools under PI supervision.
• Maintain documentation of development activities and data-centric AI findings.
• Collect, organize, and maintain research datasets per project protocols.

Skills

Python programming

Machine learning

LLMs

Computer vision

Technical writing

Education

Bachelor's degree or equivalent

Job description

Research Analyst, Radiology & Imaging Sci

Research Analyst, Radiology & Imaging Sci

Posting Number req27242

Department Radiology & Imaging Sci Dept

Department Website Link https://radiology.medicine.arizona.edu/

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, please

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).

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

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

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Paper copies of the Reports can be obtained by contacting the University Compliance Office at [e-mail].