POSTDOCTORAL FELLOW - DEVELOPING DEEP LEARNING METHODS APPLIED TO FLOW CYTOMETRY DATASETS FOR HEMATOPOIETIC DISEASES
Wednesday 8th June 2022
Organization Memorial Sloan Kettering Cancer Center
Location New York
Title POSTDOCTORAL FELLOW - DEVELOPING DEEP LEARNING METHODS APPLIED TO FLOW CYTOMETRY DATASETS FOR HEMATOPOIETIC DISEASES
Email Address firstname.lastname@example.org
An opening is now available for a postdoctoral researcher in the department of pathology and medical physics for individuals interested in developing deep learning methods for analyzing flow cytometry datasets applied to disease diagnosis in hematopoietic diseases. The two-year project will focus on the development of advanced deep learning and machine learning classifiers to detect minimal residual disease (MRD) from single time and serially acquired flow cytometry datasets. This is an excellent opportunity for individuals interested in developing novel AI methods for solving challenging problems in hematopathology that impact clinical decision making. Researchers with a PhD in biomedical engineering, computer science, medical physics, or mathematics/engineering background interested in working on big data image analysis problems using cutting edge deep learning methods are ideal candidates. The job will involve working with a multi-disciplinary team of computer scientists and pathologists. Excellent communication skills to work with a multi-disciplinary team and keen interest in learning and building expertise in both deep learning and histopathology image analysis is essential.
Ideal candidates must have a strong programming background (Python and Matlab) and be familiar with deep learning libraries (e.g. Pytorch/Keras). Knowledge of machine learning, computer vision and/or medical image analysis is required. Prior experience in histopathology image analysis experience is highly desirable. 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:
Harini Veeraraghavan, Ph.D.
Associate attending computer scientist
Department of Medical Physics
Memorial Sloan Kettering Cancer Center
1275 York Ave.
New York, NY 10065
e-mail: veerarah at mskcc.org