BACKGROUND

RESPONSIBILITIES

• Lead a team of bioinformatics specialists working on scientific projects, many of which leverage NIAID's High Performance Computing (HPC) infrastructure
• Work cooperatively with a team of bioinformatics software developers
• Report directly HPC-related projects to the Branch Chief
• Interface with systems administrators, project managers, and computational biologists
• Work on any software-related issues in the HPC environment, which includes the cluster, the NIAID UCSC genome browser mirror, a custom-developed web interface to the cluster, and a LIMS system
• Collaborate with individual scientists to develop novel bioinformatics packages using scripting languages, and web-enable them for use by the NIAID and NIH research communities
• Troubleshoot technical issues, for example with the HPC system administrators, and provide hardware requirements for any new infrastructure-related initiatives
• Customize command-line applications to run in a cluster computing environment
• Participate in basic requirements collection, design review, coding, testing, troubleshooting, and support for custom-developed software solutions
• Remain current on existing and emerging software development technologies and tools

REQUIREMENTS

• Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related computational discipline
• A minimum of 3 years of work experience in a bioinformatics research and software development environment, including at least 2 years of team lead or management experience
• Author or co-author on peer-reviewed journal publications related to bioinformatics or computational science research
• Ability to address business needs with effective and efficient technical solutions
• Must be able to work independently and collaboratively
• Understand principles of business and project management and effectively communicate technical concepts
• Ability to grasp the broader picture of a subject, but also give attention to detail
• Must be able to adapt in a dynamic work environment and co-operate with team members and clients from a broad range of disciplines and subject level expertise

• Ability to develop technical specifications and to construct web applications
• Solid ability to create workflows in Perl, Python, for the automation of bioinformatics processes, preferably using BioPerl and/or BioPython packages
• Good programming experience with Java to collaborate with the software development team.
• Programming experience in statistical package such as R or Matlab
• Documented expertise in handling large volumes of data in relational databases
• Solid experience with Unix systems and the use of Torque or Grid Engine to distribute and manage large-scale computing jobs in a high-performance computing environment

LOCALE

HOW TO APPLY