The University of Virginia Bioinformatics Core is seeking a full-time position as a bioinformatics analyst. The analyst will work with other core staff on grant-funded and chargeback-based projects to manage and analyze large-scale datasets produced by next-generation sequencing. The analyst will identify opportunities and implement solutions for managing, visualizing, analyzing, and interpreting genomic data, including studies of gene expression (RNA-seq and microarrays), pathway analysis, protein-DNA binding (e.g. ChIP-seq), DNA methylation, and DNA variation, using Affymetrix, Illumina, Nimblegen, Agilent, Roche 454, Ion Torrent, and other high-throughput platforms in both human and model organisms. The analyst will work closely with the core director to assist in experimental design and provide expert consultation, technical, and scientific support for UVA investigators, and assist in outreach and training activities. The analyst will organize large-scale sequence data sets, manipulate and format data with perl, python, or other scripting languages, use established software to assess quality and analyze data, schedule and run jobs on a high-performance computing cluster, use Unix or a scripting language to extract meaningful results from output, use software or genome browsers for visualization, and use established databases and techniques for annotating genetic variants and results from expression/DNA-binding experiments. The successful candidate will have a demonstrated ability to translate biological questions into technical designs, and to identify, prioritize, and execute bioinformatics tasks to meet project goals and deadlines. An M.S. in Bioinformatics, Genomics, Biostatistics, or a related field is required for this position.