GE HealthCare Visiting Research Scholar - AI 

Remote, Remote 

611665561

Responsibilities

• Worked with AI scientists in designing and developing foundation models using large-scale medical imaging datasets, and other side information.
• Lead end-to-end project lifecycles for imaging foundation models, including model design, experimentation, evaluation, prototyping, and production.
• Research and evaluate emerging technologies, industry trends, and academic advancements to drive innovation in imaging foundation models.
• Collaborate with cross-functional teams to translate research into impactful solutions for healthcare.

Qualifications

The ideal candidate will have:

• A Ph.D. in Computer Science or a related field and currently hold a tenure-track faculty position in a leading Computer Science program.
• A strong publication record in areas such as Computer Vision, Machine Learning, Deep Learning, Natural Language Processing, or Optimization, with papers published in top conferences such as NeurIPS, ICML, ICLR, CVPR, AAAI, KDD, EMNLP, or ACL.
• Proficiency in at least one general-purpose programming language (e.g., Python, Java, C/C++) and experience with deep learning frameworks like PyTorch or TensorFlow.
• Experience with building and deploying data analytics or AI applications in production environments.
• (Preferred) Extensive experience working with noisy, real-world medical and patient data.
• (Preferred) Expertise in large-scale AI training and handling computational challenges.

Application Deadline: May 02, 2025