Postdoctoral Fellow – AI & Computational Hematology

Memorial Sloan Kettering Cancer CenterNew York, NY
22h$72,000 - $87,000

About The Position

We are seeking highly motivated postdoctoral fellows to join our interdisciplinary team led by Gregory Goldgof, MD, PhD, MS, Director of Artificial Intelligence for the Hematopathology Service. This is a paid postdoctoral position offering substantial independence, access to large-scale real-world clinical datasets, and close integration with clinical practice. Postdoctoral fellows will play a central role in developing and validating AI systems for medical image analysis, LLM-based tooling, and multimodal clinical data integration, with opportunities to lead projects, publish in high-impact journals, and contribute to clinically deployed and commercial-grade systems.

Requirements

  • PhD, MD/PhD, or equivalent doctoral degree in computer science, biomedical engineering, computational biology, medical physics, or a related field
  • Prior experience in deep learning, computer vision, or medical imaging.
  • Demonstrated ability to conduct independent research and publish in peer-reviewed venues
  • Demonstrated ability to leverage AI-assisted programming to rapidly prototype, iterate, and deploy beta versions of research tools

Nice To Haves

  • Experience with pathology images strongly preferred.

Responsibilities

  • Developing and validating AI systems for medical image analysis
  • Developing and validating AI systems for LLM-based tooling
  • Developing and validating AI systems for multimodal clinical data integration
  • Lead projects
  • Publish in high-impact journals
  • Contribute to clinically deployed and commercial-grade systems

Benefits

  • Strong translational and clinical deployment focus
  • Opportunities for first-author publications
  • Mentorship toward academic, industry, and entrepreneurial career paths
  • Direct access to large-scale, real-world clinical data
  • Exposure to regulatory and commercialization pathways

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What This Job Offers

Education Level

Ph.D. or professional degree

Number of Employees

5,001-10,000 employees

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