Postdoctoral Fellow – AI & Computational Hematology

The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized compassionate expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent diagnose and treat it. MSK is dedicated to training the next generation of scientists and clinicians who go on to pursueour missionat MSK and around the globe.

The HemeAI Lab at Memorial Sloan Kettering Cancer Center (MSKCC) is a clinical translational research laboratory focused on transforming cancer diagnosis risk stratification and disease monitoring through artificial intelligence. Our mission is to improve patient outcomes in leukemias and other hematologic diseases by developing clinically deployable AI-powered tools that not only benefit MSKCC patients but also have strong potential for global clinical adoption and commercialization.

MSKCC is a world-leading cancer center with unparalleled clinical data infrastructure and multidisciplinary expertise providing an exceptional environment for high-impact translational research.

Position Overview

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.

Research & Technical Focus Areas

Applicants should have strong interest and experience in one or more of the following areas:

Technical Areas

• Deep learning for medical image analysis (Python PyTorch)
• Multiple instance learning for pathology whole slide images (WSIs)
• Classical computer vision
• Multimodal data integration for outcome prediction
• AI model calibration to real world deployments
• Full-stack web development for clinical and research applications (JavaScript HTML CSS Django)
• MLOps / DevOps (Docker Unix-based systems)
• Cloud-based deployment and scalable infrastructure (Docker AWS)
• HumanComputer Interaction (HCI) and clinical interface design
• Data science and analytics (Python SQL)
• Collaborative software development (GitHub)

Medical AI & Translational Product Development

• Automated detection quantification and qualitative characterization of cancer cells in blood bone marrow H&E tissue and cytology specimens from whole-slide and microscope images
• Clinical outcome prediction using multimodal clinical data (images genetics laboratory values etc.)
• Discovery of novel morphologic and computational biomarkers
• Transformation of unstructured clinical data into structured datasets
• Clinical validation and trials of diagnostic prognostic and medical decision-support algorithms

Collaborative Environment

Postdoctoral fellows will work closely with MSKCC clinical services and maintain active collaborations with external partners at UC San Francisco and UC Berkeley Statistics providing exposure to diverse datasets methodologies and interdisciplinary mentorship.

Qualifications

• 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. Experience with pathology images strongly preferred.
• 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

Why Join the HemeAI Lab

• 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

Salary Range $72000-$87000

How to Apply

Interested candidates should contact Dr. Gregory Goldgof directly at with a CV and brief statement of research interests.

Closing:

At MSK we believe in fair competitive pay that reflects your job experience and skills.

MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race color gender gender identity or expression sexual orientation national origin age religion creed disability veteran status or any other factor which cannot lawfully be used as a basis for an employment decision.

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