Publisher
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St. Jude Children's Research Hospital

Just Landed

Postdoctoral Research Associate in AI for Medical Imaging and Biomedical Informatics St. Jude Children's Research Hospital in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full-time postdoctoral appointment with salary commensurate with experience. The appointment is expected to last 2–3 years. The position provides access to St. Jude's high-performance computing resources and supports career development, including potential independent funding applications such as K99/R00.

Deadline

Jan 2, 2027

Country flag

Country

United States

University

St. Jude Children's Research Hospital

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Keywords

Computer Science
Biomedical Engineering
Radiology
Medical Imaging
Deep Learning
Artificial Intelligence
Computer Vision
Medical Science
Quantitative Imaging
Bioinformatic
Large Language Models
ML

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About this position

St. Jude Children's Research Hospital is seeking a Postdoctoral Research Associate to join Dr. Pritam Mukherjee's lab in AI for medical imaging and biomedical informatics. The research focuses primarily on radiology and applies machine learning, deep learning, and foundational AI models to clinically relevant imaging problems.

The postdoctoral researcher will develop 2D and 3D architectures, including convolutional neural networks, transformers, and vision-language or other foundation models. Projects may address segmentation, detection, quantitative imaging, volumetric and density measurements, and image-based biomarker discovery across CT, MRI, and X-ray data. The role also includes exploring large language models for biomedical and imaging-adjacent applications, from training and fine-tuning to inference and deployment.

The lab works with large, multi-institutional datasets in a data-rich research environment. Depending on the project, the researcher may contribute to data curation and annotation, build reproducible preprocessing and model-development pipelines, and use high-performance computing resources. Collaboration with radiologists, clinicians, and engineering teams is intended to connect technical advances with practical clinical needs.

This environment supports publication, multi-institutional collaboration, translational AI research, and academic career development. Postdoctoral researchers may pursue first-author manuscripts, independent funding opportunities such as K99/R00 awards, and optional mentoring experience with junior lab members.

Funding details

Full-time postdoctoral appointment with salary commensurate with experience. The appointment is expected to last 2–3 years. The position provides access to St. Jude's high-performance computing resources and supports career development, including potential independent funding applications such as K99/R00.

What's required

Applicants must hold a PhD, MD, or MD/PhD in Computer Science, Data Science, Biomedical Engineering, Medicine, or a related field. Required experience includes medical imaging segmentation, detection, and/or quantitative imaging algorithms; strong Python and deep learning framework skills such as PyTorch or TensorFlow; familiarity with modern architectures including U-Net variants, detection frameworks, transformers, or foundation models; current knowledge of AI research, foundation models, and/or LLMs; understanding of imaging-AI evaluation metrics such as Dice, IoU, ROC/AUC, sensitivity, and specificity; and experience with version control and collaborative development such as Git. Preferred qualifications include LLM training or deployment, additional biomedical imaging modalities, clinician collaboration or clinical exposure, DICOM, biomedical informatics, multi-institutional datasets and data curation, cloud or high-performance computing, model deployment, and translational or regulatory-aware AI research.

How to apply

Apply through the external application page linked from the job advert. Submit the application materials requested by the St. Jude hiring system before 2 January 2027.

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