Tenure Track Faculty Positions Computational & Systems Biology Program
The Computational & Systems Biology Program of the Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center (www.ski.edu) seeks innovative investigators for tenure-track positions at the Assistant, Associate, or Full Member level. Pursue basic research and solve fundamental biological problems with emphasis on computational, data science and quantitative experimental methods for biomedical science. Desired interests include: computational, systems, quantitative, technology development or single-cell approaches with applications to genetics, developmental biology, immunology, cancer research, evolution, gene regulation, imaging, epigenetics, biophysics, cell biology, metabolism, genomics and clinical questions.
Candidates will have a strong interest in interdisciplinary research, a doctoral-level degree and the potential to develop an independent, collaborative research program. MSK offers a highly interactive, collaborative, supportive, and dynamic research environment with basic and translational programs in Computational & Systems Biology, Developmental Biology, Molecular Pharmacology & Chemistry, Cancer Biology & Genetics, Structural Biology, Immunology, Cell Biology, Molecular Biology, and Human Oncology and Pathogenesis, as well as unparalleled clinical programs in cancer research, treatment, and prevention.
Application deadline: November 1, 2017
Apply at: https://facultysearch.ski.edu
Inquiries can be sent to: Dana Pe’er, Chair, Computational & Systems Biology Program, via Benjamin Hegel, Program Coordinator, at: email@example.com
Please visit the site as soon as possible, as it contains important information on the required application materials, including deadlines for submission of letters of reference.
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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