We are seeking an enthusiastic, creative, and collaborative bioinformatics software engineer to support pipeline development and analysis for our broad portfolio of genomic studies. If you have experience designing and deploying robust, reproducible, production-quality pipelines, then come join our talented team of bioinformaticians dedicated to understanding the genetics of cancer!
The Cancer Genomics Research Laboratory (CGR) investigates the contribution of germline and somatic genetic variation to cancer susceptibility and outcomes in support of the NCI's Division of Cancer Epidemiology and Genetics (DCEG), the world's most comprehensive cancer epidemiology research group. CGR is located at the NCI-Shady Grove campus in Gaithersburg, MD and operated by Leidos Biomedical Research, Inc. We care deeply about discovering the genetic and environmental determinants of cancer, and new approaches to cancer prevention, through our contributions to the molecular, genetic, and epidemiologic research of the 70+ investigators in DCEG. Our bioinformaticians have both the passion to learn and the opportunity to apply their skills to our rich and varied short- and long-read sequencing datasets, generated in support of DCEG's multidisciplinary family- and population-based studies. Working in concert with the epidemiologists, biostatisticians, and basic research scientists in DCEG's intramural research program, CGR conducts genome wide association studies (GWAS), targeted, whole-exome, and whole-genome sequencing studies, including analysis of germline and somatic variants, structural variation, copy number variation, metagenomics, transcriptomics, and more.