Postdoctoral Researcher - Data Science and AI Core Population Research - Xiao Lab Req Position

Position: POSTDOCTORAL RESEARCHER - Data Science and AI Core for Population Research - Xiao Lab [Req#: 931349, Position#: 118398]
Description

The Postdoctoral Fellow will play a key role in the CPRIT-funded Data Science and AI Core for Population Research (DAICOR), contributing to the development and deployment of advanced imaging-based AI tools to improve early cancer detection and population-level cancer research. Responsibilities include designing and implementing machine learning and deep learning models for medical image analysis across diverse cancer screening modalities (e.g., mammography, CT, ultrasound);

developing pipelines for image preprocessing, harmonization, and integration with the DAICOR secure digital platform; and conducting rigorous validation studies to assess performance, bias, and generalizability of AI tools. The fellow will collaborate closely with clinicians, data scientists, and population researchers to extract imaging-derived biomarkers, support multimodal data integration, and contribute to scientific manuscripts and grant reports. Additional duties include assisting with training sessions and providing technical support to healthcare providers and researchers across Texas to facilitate the responsible and effective use of AI tools.

Qualifications

The ideal candidate will have a PhD in biomedical engineering, computer science, medical physics, or a related field, with strong experience in medical image analysis, machine learning, and coding in Python.

Experience with large-scale imaging datasets and AI deployment in clinical or research environments is preferred.

Application Instructions

Interested individuals must upload a CV, cover letter, and a list of three references and email Guanghua.

Xiao.