SUMMARY

RESPONSIBILITIES

• Develop computational tools for high-throughput analysis of large-scale genomic data, including sequence-based, structure-based, array-based, and proteomic data
• Build web-based, n-tiers high-performance applications
• Enhance existing codes
• Support active collaborations on scientific projects across diverse professional domains

• Create project planning full-lifecycle timetables
• Write robust documentation for all software projects in a timely fashion, written in proper English

REQUIREMENTS

• Masters or Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related computational discipline
• Minimum 5 years of work experience with full software development life cycle
• Ability to address business needs with effective and efficient technical solutions
• Must be able to work independently and collaboratively
• Have an understanding of 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 cooperate with team members and clients from a broad range of disciplines and subject-level expertise
• Required experience includes:
  
  • At least 3 years of professional programming experience with Java EE (EJB 3.x, JPA 2.x, Servlet 2.x, JSP 2.x, JSF 2.x, EL, JAX-WS, JAX-RS, XML, etc.) and Python
  • Familiarity with development tools: Eclipse, NetBeans, Ant, Maven, SVN, JIRA / BugZilla, Hudson/Jenkins
  • Practical experience with Tomcat, JBoss, GlassFish, MySQL, Apache web in RHEL 5+
  • Experience with modern frameworks such as GWT, JUnit, Hibernate, Strut 2, Spring , Lucene
  • Prior use and knowledge of scripting languages: Perl, Python, and/or Shell
  • Familiarity with high performance computing (e.g. SGE, DRMAA)
  • Experience with Web Service implementation
  • Practical ability to document requirements and design
• Optional experience includes:
  
  • Experience with cloud computing
  • Working knowledge of major public bioinformatics databases and tools
  • Knowledge of statistics using R
• Good communication skills, both written and verbal
• Demonstrated initiative in experimenting with new technologies

HOW TO APPLY