Applications are invited for a computational postdoctoral fellow to drive a research program on search engines for genomic data. The Langmead Lab has 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.
Recent publications from lab members can be viewed at www.langmead-lab.org/publications/. There will be opportunities to collaborate with the excellent biomedical researchers at JHU, as well as opportunities for teaching and mentoring.
Ideal applicants will have * A Ph.D. in Computer Science, Bioinformatics, or related field * Strong programming skills in relevant languages and frameworks such as C/C++, Python, Hadoop and Spark * Experience analyzing sequencing data * Published papers in English * Excellent communication skills
The Langmead lab has a track record of developing usable, high-impact software tools for studying big genomic datasets. Projects of current and former lab members include Bowtie, Bowtie 2, Crossbow, Myrna and Rail-RNA, which together have been cited over 20,000 times.
JHU has a large community of researchers studying methods and software for genomics. Computational genomics researchers at JHU publish in the most competitive journals in the field. For more details about the genomics community at JHU, see http://ccb.jhu.edu.
To apply, send langmea (at) cs.jhu.edu a letter of interest and current CV. Please also arrange for two letters of recommendation to be sent to that address. Applications will be reviewed until the position is filled. Questions should be directed to langmea (at) cs.jhu.edu.
The Johns Hopkins University is an EEO/AA employer.
A Ph.D. in Computer Science, Bioinformatics, or related field * Strong programming skills in relevant languages and frameworks such as C/C++, Python, Hadoop and Spark * Experience analyzing sequencing data * Published papers in English * Excellent communication skills
To apply, send langmea (at) cs.jhu.edu a letter of interest and current CV. Please also arrangefor two letters of recommendation to be sent to that address. Applications will be reviewed until the position is filled. Questions should be directed to langmea (at) cs.jhu.edu.
Internal Number: A-51556-3
About Johns Hopkins University
Johns Hopkins University remains committed to its founding principle, that education for all students should be grounded in exploration and discovery. Hopkins students are challenged not just to learn but also to advance learning itself. Critical thinking, problem solving, creativity, and entrepreneurship are all encouraged and nourished in this unique educational environment. After more than 130 years, Johns Hopkins remains a world leader in both teaching and research. Faculty members and their research colleagues at the university's Applied Physics Laboratory have each year since 1979 won Johns Hopkins more federal research and development funding than any other university. The university has nine academic divisions and campuses throughout the Baltimore-Washington area. The Krieger School of Arts and Sciences, the Whiting School of Engineering, the School of Education and the Carey Business School are based at the Homewood campus in northern Baltimore. The schools of Medicine, Public Health, and Nursing share a campus in east Baltimore with The Johns Hopkins Hospital. The Peabody Institute, a leading professional school of music, is located on Mount Vernon Place in downtown Bal...timore. The Paul H. Nitze School of Advanced International Studies is located in Washington's Dupont Circle area.