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The Interactive Genomics Lab at George Washington University’s Computational Biology Institute is looking to fill an unusual and exciting software engineering position working on the Galaxy project (http://galaxyproject.org). Galaxy software engineers have broad impact across the world and work on advanced technologies in diverse areas such as cloud computing, Web-based visualization, user analytics, and genomic analysis.
Galaxy is a Web-based software framework that (a) enables researchers to store, analyze, visualize and share genomic data and (b) provides genomic tool developers with the ability to deploy their tools within a complete analysis framework. Thousands of researchers worldwide use Galaxy on a daily basis, and Galaxy is an open source project committed to the openness of scientific enterprise.
We are looking for a candidate with expertise in one or more of the following areas:
User analytics and human-computer interaction. We are creating large-scale user analytics systems to understand how Galaxy is being used to accomplish high-throughput biological data analysis and how Galaxy can be made more useful.
Distributed computing and systems programming. We are engaged in the development of workflow systems, cloud computing based solutions, and other projects involving high performance and data intensive computing.
Web-based visualization and visual analytics. We are building novel interactive visualizations for very large genomics datasets that leverage cutting edge web technologies.
Genome informatics, data analysis, and integration. We build and use tools to analyze large datasets generated by high-throughput sequencing of DNA to understand genomes and genome function.
However, regardless of area of expertise we seek talented, self-motivated individuals to join our team. Galaxy is developed in an academic research environment, and members of the Galaxy team work closely with experimentalists on projects at the leading edge of data-intensive biological research.
Python (server) and JavaScript (client) are the primary implementation languages for the Galaxy framework. Galaxy’s user interface is Web-based, and makes substantial use of HTML5, D3, Backbone, and other modern Web technologies. Many of the analysis components of Galaxy are performance critical, implemented largely in C, C wrapped in Python, or other languages as appropriate.
These positions are located at George Washington’s Virginia Science and Technology campus in Ashburn, VA, which is located about 35 miles northwest of Washington, D.C. Note that these are full time positions located in Ashburn — we cannot take on contractors at this time.
Applicants should submit a cover letter and resume to [email protected]
Galaxy is a Web-based software framework that (a) enables researchers to store, analyze, visualize and share genomic data and (b) provides genomic tool developers with the ability to deploy their tools within a complete analysis framework. Thousands of researchers worldwide use Galaxy on a daily basis, and Galaxy is an open source project committed to the openness of scientific enterprise.
We are looking for a candidate with expertise in one or more of the following areas:
User analytics and human-computer interaction. We are creating large-scale user analytics systems to understand how Galaxy is being used to accomplish high-throughput biological data analysis and how Galaxy can be made more useful.
Distributed computing and systems programming. We are engaged in the development of workflow systems, cloud computing based solutions, and other projects involving high performance and data intensive computing.
Web-based visualization and visual analytics. We are building novel interactive visualizations for very large genomics datasets that leverage cutting edge web technologies.
Genome informatics, data analysis, and integration. We build and use tools to analyze large datasets generated by high-throughput sequencing of DNA to understand genomes and genome function.
However, regardless of area of expertise we seek talented, self-motivated individuals to join our team. Galaxy is developed in an academic research environment, and members of the Galaxy team work closely with experimentalists on projects at the leading edge of data-intensive biological research.
Python (server) and JavaScript (client) are the primary implementation languages for the Galaxy framework. Galaxy’s user interface is Web-based, and makes substantial use of HTML5, D3, Backbone, and other modern Web technologies. Many of the analysis components of Galaxy are performance critical, implemented largely in C, C wrapped in Python, or other languages as appropriate.
These positions are located at George Washington’s Virginia Science and Technology campus in Ashburn, VA, which is located about 35 miles northwest of Washington, D.C. Note that these are full time positions located in Ashburn — we cannot take on contractors at this time.
Applicants should submit a cover letter and resume to [email protected]