Research Analyst, Radiology & Imaging SciThis 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 position. 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:
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.
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:
ExemptFull Time/Part Time - Part TimeNumber of Hours Worked per Week - 36 Job FTE - 0.9Work Calendar - FiscalJob 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: 9Career Stream and Level - PC1Job Family - Research & Data Analysis
Job Function: Research
Type of criminal background check required: - Name-based criminal background check (non-security sensitive) Number of Vacancies - 1Contact Information for Candidates - Fakrul Islam Tushar, fitushar@arizona.edu and Maria Telles, telles@arizona.eduOpen Date - 10/2/2026 Open Until Filled - YesDocuments Needed to Apply - Resume and Cover Letter Special Instructions to Applicant - Application: The online application should be completed in its entirety. Blank or missed information may be considered an incomplete submission. Cover Letter: Should clearly indicate how your skills and professional employment experience meet the Minimum and the Preferred qualifications (if applicable).
