Postdoctoral Fellow in Computational Epigenomics

Organization
Dana-Farber Cancer Institute/Harvard T.H. Chan School of Public Health.
Job Location
450 Brookline Ave
Boston, MA 02215
Job Description

One postdoctoral position in computational biology focused on epigenetics and gene regulation is available at the Guo-Cheng Yuan Lab in the Department of Biostatistics and Computational Biology at Dana-Farber Cancer Institute/Harvard T.H. Chan School of Public Health.

The goal of the Yuan Lab is to develop computational approaches to analyze and integrate genomic data with the aim to elucidate systems-level gene regulatory mechanisms in development and disease. Current projects include single-cell analysis, genome-wide chromatin state characterization, inference of gene regulatory networks, and functional characterization of genetic variants. Detailed description of our research can be found at our group website: http://bcb.dfci.harvard.edu/~gcyuan

The candidate will develop systems biology approaches and software packages to classify chromatin states, to integrate gene expression, DNA sequence, and epigenomic data, to construct and dissect gene regulatory networks, with the goals to gain mechanistic insights into cell-state transitions during stem cell differentiation and disease progression, and to systematically characterize the biological function of the disease-associated genetic variants.

Requirements

The successful applicant(s) should be highly motivated to solve biological problems and to develop novel computational tools. He/she should hold a doctoral degree or equivalent qualification in computational biology, (bio)statistics, applied mathematics, computer science, or a similar field. Strong analytical, programming (in Python, R, Matlab, or C/C++) and communication skills are required. Experience in analysis, interpretation, and integration of genomic-scale data is required.

How to Apply

Interested applicants please send CV and at least two recommendation letters to Dr. Guo-Cheng Yuan (gcyuan at jimmy dot harvard dot edu)

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