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Postdoctoral Fellow
Dana-Farber Cancer Institute and Harvard School of Public Health

Company Information: Dana–Farber Cancer Institute is a comprehensive cancer treatment and research center in Boston, Massachusetts. It is a principal teaching affiliate of Harvard Medical School, and a founding member of Dana–Farber/Harvard Cancer Center, a Comprehensive Cancer Center designated by the National Cancer Institute. The Harvard T.H. Chan School of Public Health (formerly Harvard School of Public Health) is the public health graduate school of Harvard University, located in the Longwood Medical Area of Boston, Massachusetts adjacent Harvard Medical School.

Position Title: Postdoctoral Fellow

Duties and Responsibilities: We are looking for highly motivated and qualified postdoctoral fellows to join a dynamic and interdisciplinary team. Our long-term goal is to develop systems biology approaches to gain mechanistic insights into development and cancer. Two positions are currently open, each focusing on one of the following areas.
1. Single Cell Genomics. The postdoctoral fellow will develop and apply computational methods for analyzing single-cell gene expression data (including both sequencing and imaging based data types). The objectives are to systematically characterize cellular state heterogeneity dynamics in development and cancer, to investigate cell state-environment interactions, and to study cancer treatment response at the single-cell resolution.
2. Systems Biology. The postdoctoral fellow will develop and apply computational methods for analyzing and integrating transcriptomic, genomic, and epigenomic information. The objectives are to elucidate gene regulatory networks underlying cell-type and developmental-stage specificity and to characterize the biological function of human genome. A current focus is to dissect the structural and functional organization of 3D chromatin.

Position Qualifications: We encourage candidates with diverse background to apply. The applicant may either hold a PhD degree in quantitative science with strong interest to develop computational methods for solving biomedical problems, or hold a PhD/MD degree in biology/medicine with strong interest to develop/apply systems biology approaches. The ideal candidates will have strong programming and communication skills and prior experience in analyzing omic scale data.

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