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)
PhD in Molecular Biology, Biochemistry, Computer Science, Statistics, Mathematics, Bioinformatics
or related field required.
PhD 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 PhD 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.
OTHER CREDENTIAL REQUIREMENTS: