June 2018. We are seeking a computational postdoctoral fellow to drive a research program on search engines for genomic data. The Langmead Lab, together with other labs at JHU (e.g. Leek, Hansen, Jaffe) and OHSU (Nellore) have developed tools (Rail-RNA, Snaptron) and resources (recount2) that altogether constitute a powerful search engine for public RNA sequencing data. The fellow will take these efforts to the next level and apply them to new data types and scientific questions.
The fellow should have experience in areas relevant to the lab’s agenda, e.g. (a) efficient software for analyzing high-throughput biological data, especially sequencing data, (b) scalable software for analyzing many datasets at once, and (c) indexing, sketching and other techniques for making large datasets — raw or summarized — easy and efficient to query.
Johns Hopkins has a large and diverse community of researchers studying methods and software for genomics. We are spread across diverse departments and centers including: