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Bioinformatics Analyst III

Job ID: req997
Facility: Rockville: 9609 MedCtrDr
Location: 9609 Medical Center Dr, Rockville, MD 20850 USA

The Frederick National Laboratory is dedicated to improving human health through discovery and innovation in the biomedical sciences, focusing on cancer, AIDS, and emerging infectious diseases. 

Position Overview:

The Cancer Genomics Research (CGR) laboratory in Gaithersburg, MD, is a fast-paced, high-throughput organization dedicated to the support of molecular, genetic and epidemiologic studies for investigators at the National Cancer Institute's Division of Cancer Epidemiology & Genetics (DCEG).  The Division includes over 70 principal investigators in epidemiology, genetics, and biostatistics who conduct multidisciplinary family- and population-based research to discover the genetic and environmental determinants of cancer, and new approaches to cancer prevention. This includes the design and analysis of high throughput studies using various types of “–omics” technologies such as array- and sequence-based genome-wide association studies, studies of tumor characteristics using integrated genomic data analysis and molecular epidemiologic studies based on novel metabolomic and macrobiotic assays. Within DCEG, the Radiation Epidemiology Branch (REB) conducts studies to quantify long-term cancer and other health risks among populations exposed to ionizing radiation from medical, environmental, and occupational sources. Genomics studies focus on identifying whether some individuals are particularly susceptible to developing cancer following radiation exposures and identifying whether there are signatures of prior radiation exposure in the tumors themselves. Because children are particularly susceptible to radiation-related health risks, much of the genomics research is focused on individuals exposed to ionizing radiation during childhood. DCEG/REB is requesting the addition of computational support, to be provided through CGR, to support additional analyses of long-term genomics studies of radiation-related and pediatric cancers. We are seeking a highly motivated bioinformatics analyst to join the bioinformatics team at the CGR and provide dedicated analytical support to REB within DCEG. Working with DCEG investigators, external collaborators, CGR management and staff, the successful incumbent will provide leadership and support to the extensive DCEG analytical efforts. 


  • Provide support to REB studies and stay current with CGR and other division-wide bioinformatics activities/processes
  • Review, QC, and integrate data from multiple sources (multi-omic studies), primarily focused on germline genotyping and sequencing data, with some additional somatic sequencing, transcription, and methylation data
  • Contributing to the solutions of -omics analysis pipelines through exploring novel software, benchmarking, comparisons, testing, and troubleshooting
  • Organizing results into clear presentations and concise summaries of work, in formats useful for scientific interpretation
  • Facile use of computational resources both within DCEG, CGR and in the cloud
  • Document all analyses and pipelines used in support of reproducible research
  • Develop and execute advanced analyses including multiplicative interaction analyses, pathway-based analyses, integrative analyses
  • Work closely with DCEG PIs in support of scientific manuscript development, submission, revision activities with significant coauthorship opportunities 


  • Possession of a bachelor’s degree from an accredited college or university according to the Council for Higher Education Accreditation (CHEA) in bioinformatics, computer science, computational biology or related field. Foreign degrees must be evaluated for U.S. equivalency
  • In addition to educational requirements, a minimum of five (5) years of related analytical or bioinformatics software development experience
  • Hands-on experience in processing sequencing, genotyping, expression and other data utilizing bioinformatics tools
  • The ability to construct practical computational tools for data parsing, quality control, modelling and analysis for large-scale genetic or genomics datasets
  • Demonstrable shell scripting skills (e.g. bash, awk, sed)
  • Strong programming skills (e.g., in one or more of Perl, Python, C/C++, Java)
  • Experience with design and use of relational SQL databases 


  • Familiarity with public genomic tools, databases and utilities
  • Experience managing large datasets and computational tasks, experience working in a Linux environment (especially a computational cluster environment)
  • Experience in the field of molecular and population genetics with a strong publication record.
  • Expertise in statistical programming and data manipulation (e.g. R, MATLAB) is desired
  • Team oriented with demonstrated ability to mentor others as well as self-educate in current bioinformatics techniques and resources
  • Excellent written and oral communication-ability to communicate clearly and effectively with staff and other groups within CGR and DCEG, and able to interpret data and write scientific reports as well as other written communications