The Computational & Systems Biology Program
- Employer
- sloan kettering institute
- Location
- New York City, New York (US)
- Salary
- Salary commensurate with experience.
- Closing date
- Oct 17, 2020
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- Discipline
- Life Sciences, Cell Biology, Genetics, Cancer Research
- Position Type
- Full Time
- Job Type
- Faculty
- Organization Type
- Academia
The Computational & Systems Biology Program at MSK seeks innovative investigators for tenured or tenure-track positions at the Assistant, Associate, or Full Member level.
We seek applicants interested in solving fundamental biomedical problems using computational approaches, quantitative experimental methods, or both. Desired interests include: machine learning, technology development, single-cell approaches, imaging and quantitative modeling applied to genetics, developmental biology, immunology, cancer research, evolution, gene regulation, epigenetics, biophysics, cell biology, metabolism, genomics and clinical questions.
We are particularly interested in candidates with experience using modern machine learning techniques or microscopy in their biomedical research.
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 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.
The deadline for applications is October 15, 2020. Interested candidates should apply online at: https://facultysearch.ski.edu.
Memorial Sloan Kettering Cancer Center 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.
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