Research Fellow (Pathology)
- Memorial Sloan Kettering Cancer Center
- Location: New York, NY
- Job Number: 7061874
- Posting Date: Oct 29, 2019
- Application Deadline: Open Until Filled
Job DescriptionMemorial Sloan Kettering Cancer Center is seeking a Research Fellow (Pathology) to join our team. Under supervision of the group leader, the Research Fellow will provide support to research at the Center by assisting in the design, development, and implementation of imaging, deep learning and multi-modality projects in pathology.
• Be a part of large inter- and intra-department multi-modality imaging projects to build new medical imaging modalities to support the diagnosis process;
• Be a part of large machine learning projects and deep learning projects for multimodality imaging;
• Work with a unique team of medical imaging experts, machine learning experts, software engineers and medical doctors to build a new generation of artificial intelligence;
• Process and analyze data from multi-modalities medical imaging and high-throughput next-generation sequencing with an emphasis in pathology;
• Design and manage your own projects with supervision from faculty and Laboratory staff;
• Provide consultation and guidance to all members at the Center.
• Candidates must be an MD, specifically, a Board certified-board pathologist/resident in good standing who has completed residency (AP) training requirements by the start of the fellowship. (Computer programming experience is not required)
• Cross-disciplinary and strong analytic skills
• Ability to manage projects effectively
• Great communication skills
• Interest in learning digital imaging and computational pathology
• Ability to work in multidisciplinary environment
• Interest in becoming a leader in pathology, informatics and imaging
To apply, please send a cover letter and resume/ CV to Christina M. Virgo, Esq. at firstname.lastname@example.org.
MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision.
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