BACKGROUND

The Computational Biology (CompBio) Department focuses on the development and application of innovative approaches for analyzing high-throughput; multi-dimensional genomic and epigenetic data generated from basic and clinical research groups studying pediatric cancer, gene therapy and infectious disease. The Department has a well-established track record in developing state-of-art computational methods for analyzing next-generation sequencing (NGS) data with high impact publications in the journals of Nature, Nature Genetics, Nature Methods, JAMA and Cancer Cell. We are looking for highly motivated and talented bioinformatics scientists who are interested in working on a large-scale clinical sequencing project with responsibilities for data QC, in-depth analysis of whole-genome, exome and RNASeq data of pediatric cancer patients, and developing genomic report for clinicians at St. Jude. CompBio provides a highly collaborative teamwork environment, access to state-of-art computational infrastructure and deep experience in analyzing, managing, visualizing and delivering data and results generated from NGS technology.

The Bioinformatics Research Scientist in the Computational Biology Department takes a lead role in data analysis, data visualization, statistical analysis, experimental design and database development. Provides bioinformatics analysis for interdepartmental investigators and communicates and discusses with investigators on analytical process and results. Develops and participates in Computational Biology Department's independent research project. Actively participates in preparing and submitting manuscripts for publication. Contributes ideas to automate or improve existing analysis methods. May act as a project manager of designated research computing applications. Provides project oversight, scientific advice, programming support or other necessary input to achieve established objectives. Ensures that efficient and prompt help is provided to the SJCRH investigators.

REQUIREMENTS

PhD in Molecular Biology, Biochemistry, Bioinformatics, Evolutionary Biology, Computer Science, Statistics, Mathematics, or related field plus three (3) years of postdoctoral and/or job experience in Computational Biology or Bioinformatics research required.
Analytical experience in sequencing data, microarrays, SNPs, proteomics data or biological pathways.
Experience with programming languages such as Perl, C, C++, SQL, PHP, or Java required.
Experience in development of algorithms, statistical methods or scientific software is preferred.

BACKGROUND

REQUIREMENTS

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