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Computational Biologist - Genome Instability, DNA Repair & Replication in Breast Cancers and Leukemias

National Cancer Institute, Bethesda, MD and surrounding area

Position Description:

One post-doctoral position is immediately available in the Laboratory of Genome Integrity, Center for Cancer Research (CCR), National Cancer Institute (NCI), National Institutes of Health (NIH), to use computational methods in the study of mechanisms involved in DNA double-strand break repair and the roles of repair proteins in a variety of cancers that include leukemias and breast cancers. The position will emphasize efforts to understand gene regulation, DNA replication, chromatin, regulatory and structural variation and its relation to cancer. The position will involve analysis of applications involving high-throughput DNA sequencing methods for a variety of assays, including RNA-seq, exon sequencing, ATAC-seq, DNase-seq, ChIP-seq, END-seq and newer, cutting-edge methodologies that are in development. The ideal candidate will play a leading role in providing computational and biological insight by analyzing large data sets derived from genomics and epigenetics experiments.

Investigator's Home Page:
Dr. Andre Nussenzweig


  • a recent Ph.D. in computational biology, bioinformatics, mathematics or related field
  • an ability to program in Python/Perl and R/Matlab in Unix environment are required
  • knowledge of SQL will be considered a plus
  • demonstrated applied bioinformatics/computational proficiency as evidenced by relevant publications in peer-reviewed journals

The candidate will have a strong computational as well as a strong biological background, an interdisciplinary background in bioinformatics and computational biology, and expertise in the analysis and interpretation of sequencing data generated in-house and its integration with other “omics” data sources such as ENCODE and TCGA.

To Apply:

CV and 3 letters of reference can be emailed directly to Sam John,


This post will be available until September 11, 2020 or until filled.

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