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Faculty Position in Computational Pathology Department of Pathology and Laboratory Medicine
2 months ago
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.
- PhD, MD, or equivalent degree.
- Expertise in machine learning applied to image analysis.
- Strong problem-solving skills, with the ability to manage complex, high-quantity, and sometimes contradictory information.
- Excellent decision-making skills, with a proven track record of making timely decisions that keep the organization moving forward.
- Commitment to diversity, equity, and inclusion in research collaborations.
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 to contribute to the development of innovative computational methods in pathology.
