Posted August 2021 Applications are invited for a computational postdoctoral fellow to drive a research program in algorithms and data structures for pan genomics. In collaborations with colleagues, we have developed efficient algorithms and tools (e.g. r-index, MONI, SPUMONI) for indexing and analyzing large collections of similar genome sequences, e.g. dozens, hundreds, or even thousands of human genomes.
We are working to make these tools more scalable, practical, and widely applicable across the field of genomics. We are doing so in close collaboration with fellow computer scientists like Drs. Christina Boucher, Travis Gagie, Dominik Kempa and others.
Applicants should have experience in relevant areas such as algorithms and data structures for indexing genomes and collections of genomes, pattern matching, and efficient software for analyzing high-throughput sequencing data. Recent publications from lab members can be viewed at Google Scholar. Ideal applicants will have:
- A Ph.D. in Computer Science
- Strong skills in relevant languages and frameworks such as C/C++, Rust, Python
- Experience analyzing sequencing data
- Published papers in English
- Excellent communication skills
Our group has a track record of developing usable, high-impact software tools for studying big genomic datasets. Projects of current and former lab members (e.g. Bowtie, Bowtie 2, HISAT, Kraken 2) have altogether been cited over 50,000 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 email@example.com 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 firstname.lastname@example.org. The Johns Hopkins University is an EEO/AA employer.
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: