Department Computational Biology
Job Number 31376
Location Memphis, TN
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 is the first and only pediatric cancer center to be designated as a Comprehensive Cancer Center by the National Cancer Institute. Children from all 50 states and from around the world have come through the doors of St. Jude for treatment, and thousands more around the world have benefited from the research conducted at St. Jude - research that is shared freely with the global medical community. St. Jude is the only pediatric cancer research center where families never pay for treatments that are not covered by insurance. No child is denied treatment because of a family's inability to pay.
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 in the last three years. We are looking for highly motivated and talented bioinformatics scientists who are interested in working on highly competitive projects and solving challenging problems in genomic and epigenetic studies of pediatric cancer and other childhood malignancies. 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 Associate Research Scientist in the Computational Biology Department is expected to participate in data analysis, data visualization, statistical analysis, experimental design, and database development. Provides bioinformatics analysis for interdepartmental investigators and communicate and discuss with investigators on analytical process and results. Participates in the Computational Biology Department's independent research. Assists in preparing and submitting manuscripts for publication. Contributes ideas to automate or improve existing analysis methods. Assists with establishing and documenting protocols or best practices for common research tasks. Ensures that efficient and prompt help is provided to the SJCRH investigators. (MJP)