Post Doctoral Associate-Radiology AI

Postdoctoral Associate - Radiology AI

The Department of Radiology at the University of Pittsburgh is seeking a highly motivated Postdoctoral Research Associate to join an interdisciplinary research team focused on artificial intelligence and computational methods for medical data analysis.

About the Role

This position is designed for researchers with doctoral training in fields such as computer science, biomedical engineering, applied mathematics, or statistics who seek advanced research experience, close mentorship, and opportunities to develop an independent academic research career. The postdoctoral researcher will work with faculty investigators, clinicians, and other research collaborators.

Key Responsibilities

• Conduct original research under the guidance of the principal investigator while progressively developing research independence.
• Develop, implement, and evaluate machine learning and computational methods for the analysis of medical data.
• Prepare, preprocess, organize, and integrate medical datasets; maintain reliable and reproducible analysis workflows.
• Design and conduct experiments, evaluate model performance, perform statistical analyses, and interpret research findings.
• Collaborate with faculty, clinicians, and other researchers to define research questions and align computational methods with biomedical needs.
• Prepare and submit scientific manuscripts and conference abstracts; communicate results through presentations and research meetings.
• Participate in laboratory discussions, scientific seminars, and collaborations with other research groups.
• Contribute to grant proposals, research protocols, technical reports, and the development of new research directions.
• Maintain research code and documentation and follow applicable standards for research integrity, privacy, and data security.
• Provide guidance to students and junior researchers and assist with collaborative projects when appropriate.

Requirements & Tech Stack

• PhD or equivalent degree in computer science, artificial intelligence, biomedical engineering, electrical engineering, applied mathematics, statistics, or a closely related field.
• Strong foundation in machine learning, deep learning, computational image analysis, statistical modeling, or medical data analysis.
• Demonstrated independent research ability and scholarly productivity, including peer-reviewed publications or comparable research output.
• Experience with scientific programming and computational research tools; proficiency in Python or similar languages is preferred.
• Strong motivation to develop reliable and clinically relevant AI methods and pursue an independent research career.
• Excellent written and oral communication skills in English, with the ability to work effectively in multidisciplinary teams.

Qualifications

• Applicants must hold a PhD or equivalent degree before the appointment begins.
• Candidates should demonstrate strong computational and analytical skills.
• A clear interest in medical AI research.
• Ability to work independently while contributing effectively to multidisciplinary teams.
• The position offers access to collaborative research resources, computing infrastructure, and faculty mentorship.