Bioinformatics Research Scientist - Computational Biology Epigenetics

St. Jude Children's Research Hospital, founded by the late entertainer Danny Thomas, is one of the world's premier centers for the research and treatment of pediatric cancer and other catastrophic childhood diseases.

St. Jude Children’s Research Hospital’s Computational Biology Department is looking for a highly motivated bioinformatics research scientist as the key analyst to integrate epigenetic, genomic and transcriptome data in the analysis of pediatric cancer. The Department has a well-established track record in leading bioinformatics analysis for high-profile genomic and translational research projects such as the St. Jude/Washington University Pediatric Cancer Genome Project which has resulted in multiple, high impact publications in the journals of New England Journal of Medicine, Nature, Nature Genetics, Nature Methods, JAMA and Cancer Cell. Computational Biology provides a highly collaborative teamwork environment, access to state-of-art computation infrastructure and visualization tools, highly automated analytical pipeline, and mentorship from senior scientists with deep experience in data analysis, data management and delivery of high-quality results for highly competitive projects. The bioinformatics research scientist will work on integrative analysis of whole-genome, whole exome and transcriptoming sequencing data with epigenetic data including ChIP-seq and ATAC-seq, and possibly incorporating DNase-seq, 4C-seq, ChIA-PET, and other methods to understand the role of epigenetic regulation in childhood cancer.This may include development of novel computational methods to facilitate clinical decision making, immunotherapy and pharmacogenomics. Candidates with deep understanding of cancer genomics, genetics or epigenetics, strong problem solving skills, attention to detail, critical thinking, and expertise in next-generation sequencing data analysis are highly encouraged to apply for this position. (MJP)

EDUCATION/EXPERIENCE REQUIREMENTS: * Ph.D. in Molecular Biology, Biochemistry, Computer Science, Statistics, Mathematics, Bioinformatics or related field required. * Ph.D. which must include research related to bioinformatics (such as analysis of sequence data, microarrays, SNPs, image data, proteomics data, or biological pathways; development of algorithms, statistical methods, or scientific software). OR * If Ph.D. with no bioinformatics research, then two (2) years of pre-or postdoctoral experience in Computational Biology or Bioinformatics research is required. * Experience with programming languages such as Perl, C, or Java required. Preferred skills: * Experience with Python and knowledge on statistical analysis package such as R and Matlab is highly desired. * Experience in epigenetics analysis such as ChIP-seq, ATAC-seq, DNase-seq, 4C-seq, ChIA-PET, WGBS is preferred. * Knowledge about neurobiology is also a plus. LICENSURE REQUIREMENTS: None OTHER CREDENTIAL REQUIREMENTS: None