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Provides expert bioinformatics support for pediatric oncogenomics research. Collaborates with Oncology investigators to enhance understanding of cancer biology through in-depth computational analysis of genomic datasets obtained from primary cancer samples and experimental models. Applies known methods and/or develops novel computational and statistical methods to help analyze genomic data and associated information, including gene expression, SNP chip, array-CGH, epigenetic, microRNA and high-throughput sequencing data. Assists in building necessary software infrastructure and tools to facilitate analysis. Assists in preparing and submitting manuscripts for publication and participates in independent bioinformatics research.


Minimum Education

  • Ph.D. in Bioinformatics, Computational Biology, Biochemistry, Molecular Biology or related field required

Minimum Experience

  • 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