Faculty Position in Computational Pathology Department of Pathology and Laboratory Medicine

3 weeks ago


New York, New York, United States Memorial Sloan Kettering Cancer Center Full time
Job Description

The Department of Pathology and Laboratory Medicine at Memorial Sloan Kettering Cancer Center is seeking an exceptional faculty candidate to fill a position dedicated to digital and computational pathology research. The successful candidate will have expertise in machine learning, computer vision, and image analysis, with a strong track record of obtaining competitive grant funding.

Key Responsibilities
  • Conduct independent research in computational pathology, with a focus on precision pathology and cancer care.
  • Develop novel research programs to drive translational computational methods in Pathology, serving as a liaison between Pathology faculty and Computational Oncology, Clinical Bioinformatics, Medical Physics, and Radiology informatics.
  • Plan and execute research projects, with a focus on precision pathology and cancer care.
  • Have educational responsibilities for medical and graduate students, post-doctoral students, and fellows.
  • Be eligible to hold appointments in the Gerstner Sloan Kettering Graduate School of Biomedical Sciences, the Weill Cornell Medical College (WCMC) Graduate School and/or the Tri-Institutional Computational Biology for Medicine program across MSK and WCMC.
Requirements
  • PhD, MD, or equivalent degree.
  • Expertise in machine learning, computer vision, and image analysis.
  • Strong track record of obtaining competitive grant funding.
  • Ability to conduct independent research and lead a research program.
  • Excellent communication and collaboration skills.
What We Offer

Memorial Sloan Kettering Cancer Center offers a competitive compensation package with exceptional benefits based on experience and accomplishments. The successful candidate will have the opportunity to work with a talented team of researchers and clinicians, and contribute to the development of innovative computational methods in pathology.



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