Details
Posted: 19-Jun-22
Location: New York, New York
Salary: Open
Job Description
Post Doc/Research Fellow - Pathology Digital Imaging Lab (Yukako Yagi's Lab), Department of Pathology and Lab Medicine
Memorial Sloan Kettering Cancer Center
Memorial Sloan Kettering Cancer Center (MSK) is one of the world's premier cancer centers, committed to exceptional patient care, leading-edge research, and superb educational programs. The blending of research with patient care is at the heart of everything we do. The institution is a comprehensive cancer center whose purposes are the treatment and control of cancer, the advancement of biomedical knowledge through laboratory and clinical research, and the training of scientists, physicians and other health care workers.
The Yukako Yagi's Lab is seeking a highly motivated candidate, interested in machine learning applied to medical problems, for an NIH-funded position as a postdoctoral fellow. This position will focus on machine learning-based modeling of outcomes using genetic information, but will also provide opportunities to work on emerging problems of interest in cancer research.
The ideal candidate should have:
- PhD degree in bioinformatics, computer science, biostatistics, statistics, physics or a related field
- An interest in biological/patholgical problems
- Experience in predictive modeling using machine learning techniques
- Track record of research and publications
- Experience in analyzing large data sets, be proficient in at least one of the statistical programming languages Python/C#/C++ and have experience working on Unix/Linux systems and basic shell scripting
Experience in pathology imaging would be advantageous, but is not necessary.
Please include CV and letter outlining your interest as well as names/contact information of two references. Any questions can be directed to:
Jung Hun Oh, PhD, Assistant Attending Computer Scientist, Service for Predictive Informatics, Department of Medical Physics. ohj@mskcc.org
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