BACKGROUND

RESPONSIBILITIES

• Design and implement computational pipelines for tracking and the analysis of high-throughput sequencing data, including building databases and software infrastructure to handle large data sets processed by in-house and third party algorithms;
• Gather user requirements, design, implement and maintain data storage and management solutions.
• Develop graphical user interfaces and web-based application for analysis of high-throughput sequencing data.
• Develop algorithms and software tools for the analysis of new experimental techniques and provide computational support for the scientific development of the Epigenomics core.

REQUIREMENTS

• Bachelor's degree in computer science, engineering, mathematics, or bioinformatics, with a strong programming background; a graduate degree is preferred.
• Expert-level knowledge of the UNIX/Linux environment, including shell scripting, a high-level scripting language (Perl, Python, or Ruby), and a low-level, object-oriented programming language (C/C++ or Java).
• Experience in using and programming relational databases, including schema design.
• Experience in development and deployment of parallel algorithms in high-performance and cluster computing environments.
• Experience developing web-based applications by PHP, Rails and java scripts.
• Familiarity with the use of open source software libraries in software development.
• Knowledge of a scientific data analysis package such as R or MATLAB, as well as background in the biological sciences, is highly desirable.

HOW TO APPLY