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Staff Scientist Position in Bioinformatics/Computational Biology

National Cancer Institute, Bethesda, Maryland

Position Description:

The HIV and AIDS Malignancy Branch (HAMB), Center for Cancer Research (CCR), National Cancer Institute (NCI), National Institutes of Health (NIH), Department of Health and Human Services (DHHS) in Bethesda, Maryland, is recruiting a Staff Scientist/Biologist with demonstrated expertise in bioinformatics and computer science. The candidate will work in collaboration with HAMB principal investigator (PI) labs on analysis and integration of quantitative translational and clinical research data. The candidate will also be able to pursue independent research projects.

The candidate will be embedded in the HAMB: a diverse, interactive, collaborative, and highly supportive basic, translational, and clinical research department. The candidate will work with HAMB PI teams in support of their studies. Primary responsibilities will be to consult and provide bioinformatics and computational support for HAMB PI teams using high throughput sequencing and clinical research (e.g., bulk and single-cell RNA-seq, single-cell DNA-seq, CITE-seq, spatial transcriptomics, high-parameter flow analysis), to collaborate on projects focused on signaling pathways and pathogenesis of cancer viruses. The scientist will also be responsible for supervising and helping to train junior fellows in basic bio-informatic tools to assist in analyses for these projects, which will extend their ability to oversee multiple projects simultaneously.


A strong background in computational skills is essential, including familiarity with Unix OS; programming languages such as R, Python, Perl; biostatistics; machine learning; algorithms. Some background in translational biology is also highly desirable. Analyses may include bulk and single-cell transcriptomics, whole genome sequencing, high-parameter flow cytometry, and multi-omics data integration. Analyses may use existing bioinformatics pipelines or may require development of modified computational approaches. The candidate is expected to apply and modify existing pipelines for machine learning, deep learning, statistical inferences, and bioinformatics methods in analytical approaches, and should be familiar with strategies for genome analysis adapted to a human and viral systems.

The position requires the ability to work semi-independently on multiple projects and to interact closely with, and be highly responsive to, the HAMB research teams. As a close collaborator and co-author, the Staff Scientist will be an integral part of the research teams, will meet regularly with the PIs, will make informal presentations in PI lab and HAMB meetings, and participate in the writing of manuscripts. Applicants should hold a Ph.D. or equivalent doctoral degree, or masters in areas related to computer sciences or statistics as well as a strong record of publications that provide evidence of their collaborative abilities and expertise.

To Apply:

For additional information on this position and informal inquiries, applicants can contact Joseph Ziegelbauer ( directly.

For additional information about the HAMB, please visit

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