JHU Computer Science: Postdoc in analysis of big sequencing data

[Ben Langmead]

Applications are invited for an open Postdoctoral Fellow position. The postdoc will work with myself (Langmead) and colleagues at Johns Hopkins University, including in our schools of Public Health and Medicine, on the application of parallel programming and big data methods to the analysis of very large collections of DNA and RNA sequencing data. The applicant need not have deep knowledge of biological fields or statistics, though both will be involved to some degree in the postdoc's day-to-day work. Prof. Langmead's group has an excellent track record of publishing high-impact articles and releasing software tools that are widely used in the genome community, including highly efficient and scalable tools. Examples include:

• Bowtie: website, GitHub, paper
• Bowtie 2: website, paper
• Crossbow: website, GitHub, paper
• Myrna: website, GitHub, paper
• ReCount: website, paper

Ideal applicants will have:

• Ph.D. in Computer Science, Bioinformatics, Computational Biology, or related field
• Excellent programming skills, especially in Python and C/C++
• Demonstrable skills working with large datasets; e.g. parallel programming, especially using Hadoop and Elastic MapReduce, streaming algorithms, sketches, compression, indexing
• Published papers and excellent communication skills

Relevant websites:

• http://www.cs.jhu.edu/~langmea
• http://ccb.jhu.edu
• http://www.biostat.jhsph.edu

To apply, please email langmea (at) cs.jhu.edu a letter of interest, a current CV, and the names of two references. Please include "Postdoc applicant" in the email subject line.