Postdoctoral Fellow - Computational biology, genomics

Date Posted
Position is with
Name of Hiring Official/Investigator

Job Description

One post-doctoral position is immediately available with Dr. Andre Nussenzweig 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, using mouse models. The position will emphasize efforts to understand gene regulation, 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.

Qualifications and Job Details

Degree Required
Ph.D. or equivalent
Job Location
Appointment Type
Training Position (Starting stipend: $65,100, bonuses may apply)
Work Schedule
Full-time (In-Person)
US Citizenship not required - (ie, permanent resident, visa)

Required and Preferred Skills

Required Skills

Qualified candidates should have 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; knowledge of SQL will be considered a plus; and demonstrated applied bioinformatics/computational proficiency as evidenced by relevant publications in peer-reviewed journals.

Preferred Skills

The ideal candidate will play a leading role in providing computational and biological insight by analyzing large data sets derived from genomics, epigenetics and proteomics experiments. The candidate will have a strong computational as well as a strong biological background, an interdisciplinary background in bioinformatics and computational biology, and advanced 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.

About the NCI Center for Cancer Research

The Center for Cancer Research (CCR) is home to nearly 250 basic and clinical research groups located on two campuses just outside of Washington, D.C. CCR is part of the National Cancer Institute (NCI) and makes up the largest component of the research effort at the National Institutes of Health (NIH). Centrally supported by long-term funding and a culture of complete intellectual freedom, CCR scientists are able to pursue the most important and challenging problems in cancer research. We collaborate with academic and commercial partners and advocacy groups across the world in efforts to prevent, diagnose and treat cancer and HIV/AIDS. The CCR research portfolio covers the full spectrum of biological and biomedical research. Our work ranges from basic to translational and clinical, and our clinical trials are conducted in the NIH Clinical Center, the world’s largest hospital dedicated to clinical research that offers a robust infrastructure to support CCR’s patients on an estimated 250 open studies. The success of CCR is grounded in an exceptionally strong discovery research program that provides the foundation for the seamless translation of insights from bench to bedside. Read more about CCR, the benefits of working at CCR and hear from our staff on their CCR experiences.


Bethesda is one of the most highly educated communities in the United States and has a nationally renowned school system. The city is a thriving suburban center close to Washington, D.C., and home to many restaurants, retailers and a flourishing arts and entertainment district.

How to Apply
  • CV/Resume
  • 3 References
Contact Information
Contact Name
Sam John
E-mail Address
DHHS, NIH and NCI are equal opportunity employers. The NCI and CCR are deeply committed to diversity of thought, equity and inclusion and encourage applications from qualified women, underrepresented minorities and individuals with disabilities.