Staff Scientist - Bioinformatics, computational biology

Date Posted
Position is with
Name of Hiring Official/Investigator

Job Description

The HIV and AIDS Malignancy Branch (HAMB), CCR, NCI, NIH, DHHS in Bethesda, Maryland, is recruiting a Staff Scientist 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.

Qualifications and Job Details

Degree Required
Ph.D. or equivalent
M.D. or equivalent
Job Location
Appointment Type
Government Position (Salary commensurate with experience)
Work Schedule
US Citizenship not required - (ie, permanent resident, visa)

Required and Preferred Skills

Required Skills

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.

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
  • Statement of Research Goals
  • References
  • Summary of Research Experience
Additional Application Information
Contact Information
Contact Name
Dr. Joseph Ziegelbauer
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.