We are excited to announce an opening for a postdoctoral researcher in the Departments of Pathology and Medical Physics. The selected candidate will join a pioneering project utilizing deep learning methods, including recent advanced Large Language Models (LLMs), to develop AI tools that facilitate clinical practice in hematopathology. This includes applications in flow cytometry analysis and digital pathology.
This is an excellent opportunity for individuals passionate about developing novel AI methods to tackle challenging problems in hematopathology, directly impacting clinical decision-making processes. Researchers with a PhD in biomedical engineering, computer science, physics, or mathematics/engineering background who are interested in working on AI in healthcare using cutting-edge deep learning methods are ideal candidates. The job will involve working with a multi-disciplinary team of computer scientists and pathologists led by Dr. Harini Veeraraghavan, a computer scientist; Dr. Anyi Li, a Medical Physicist; and Dr. Menglei Zhu, a pathologist. Excellent communication skills to work with a multi-disciplinary team and a keen interest in learning and building expertise in deep learning and clinical data analysis are essential.
Ideal candidates must have a strong programming background (Python and R) and be familiar with deep learning libraries (e.g. Pytorch/Tensorflow). Knowledge of machine learning, computer vision and/or medical image analysis is preferred. Excellent written and communication skills are required. Successful completion of the project is expected to result in two or more high-quality technical and clinical publications.
Memorial Sloan Kettering Cancer Center is located on the Upper East Side of Manhattan, NY, and is recognized as a world leader in clinical cancer care and research. Interested candidates should send a resume and list of three references via e-mail to:
Anyi Li Ph.D.
Chief of Computer Service
Associate Attending Physicist
Memorial Sloan Kettering Cancer Center
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