Johns Hopkins University


The successful applicant will maintain and organize all computational data in the Institute. Additionally, the successful applicant will work closely with the PIs, fellows, and students to facilitate interactions at all levels of project planning, analysis, and pipeline development, and maintain lab code. The Institute is committed to using free and open-source software programs and bioinformatics tools and to maintaining the highest standards of reproducible research. The successful candidate should have broad experience with these tools.


MasterĂ¢ s degree, in an area of computational biology, bioinformatics, computer science, math, or statistics. Experience managing data storage and analysis pipelines on high performance computing clusters and cloud computing environments. Knowledge of next generation sequencing pipelines and experience manipulating, analyzing, and annotating very large biological sequence data sets, both in exploratory and pipelined fashions. Experience running and disseminating pipelines, leveraging best practices for version control (e.g., Git) and container tools (e.g, Docker). Established commitment to industry standards of reproducible data analysis and management. Highly capable of being involved collab

How to Apply

A complete application should include Current CV Three letters of recommendation Examples of bioinformatics software development/implementation Cover Letter Send application materials to


Kristin Kearney/ Alisa Moore /