Lead AI Scientist for Medical Imaging & Informatics

St Jude Children's Research Hospital

Memphis (TN)

Vor Ort

USD 104.000 - 186.000

Vollzeit

Vor 2 Tagen
Sei unter den ersten Bewerbenden
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Zusammenfassung

St. Jude Children's Research Hospital is seeking a Senior Scientist to lead development of ML/DL and foundation AI models for medical imaging, focusing on radiology and biomedical informatics.

You will oversee end-to-end model development, data preprocessing, evaluation, and deployment in a data-rich environment with HPC resources. You will design state-of-the-art architectures, translate research into clinically relevant tools, and mentor postdocs and PhD students while publishing in top

Qualifikationen

  • Bachelor's degree in a relevant scientific area is required.
  • Ten years of relevant work experience; or eight years with a Master’s; five years with a PhD.
  • Experience training, fine-tuning, or deploying LLMs is preferred.

Aufgaben

  • Lead development of ML/DL models for medical imaging (CT, MRI, X-ray).
  • Design 2D/3D model architectures (CNNs, transformers, foundation models).
  • Apply LLMs to biomedical imaging problems and deployment.
  • Mentor postdocs and PhD students; ensure reproducibility and code quality.
  • Collaborate with radiologists and clinicians to ensure clinical usefulness.

Kenntnisse

ML/DL expertise
Medical imaging
Radiology collaboration
Python
Research leadership
Publication track record

Ausbildung

PhD in Computer Science or related field
Bachelor's degree in a relevant scientific area
Postdoctoral research experience

Tools

PyTorch
TensorFlow
DICOM workflows
Cloud/ HPC environments

Jobbeschreibung

St. Jude Children's Research Hospital is seeking a Senior Scientist to lead development of ML/DL and foundation AI models for medical imaging, focusing on radiology and biomedical informatics.

You will oversee end-to-end model development, data preprocessing, evaluation, and deployment in a data-rich environment with HPC resources. You will design state-of-the-art architectures, translate research into clinically relevant tools, and mentor postdocs and PhD students while publishing in top

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