BACKGROUND

RESPONSIBILITIES

• Use IT and scientific computing to drive computational analysis of scientific data sets across a variety of biomedical science domains at the National Institutes of Health, often by adapting algorithms to fit research analysis needs.
• Develop software applications and pipelines using a variety of programming languages working collaboratively in an agile-like environment.
• Develop and maintain extensions for a MediaWiki-based platform.
• Need to be well-rounded and adaptable to a small team environment, with excellent oral and written communication skills.
• Conduct unit- and integration-tests to achieve acceptable software quality.
• Decompose high-level business and user requirements into functional requirements.
• Resolve technical issues through debugging, research, and investigation.
• Responsible for version control / documentation of artifacts produced through approved procedures and protocols.
• Work closely with technical project leadership and client to plan, develop, and deliver system modernization, enhancement, and operations and maintenance capabilities.

REQUIREMENTS

• Bachelors degree and 3+ years relevant professional experience in variety of bioinformatics, computational analysis, and/or grant data analysis (ideally with NIH). Equivalent combination of education and experience will be considered.
• Position requires a variety of software development skills - including database skills in PostgreSQL and Oracle, as well as knowledge of multiple programming languages such as more than 1 of the following programming languages: Python, Perl, Java, R, or PHP, etc.
• Experience working in a Unix or Linux environment
• End-to-end development experience in an Agile environment
• Proficiency in object-oriented and responsive web design
• SQL design skills and experience with MySQL, PostgreSQL, or other relational database products. Working knowledge of NoSQL database technologies is a plus.
• Hands on experience with additional tools such as - Subversion (SVN), PHPUnit, Selenium, Lucene, and/or Ant.
• Strong problem identification and analytical skills
• Possession of excellent oral and written communication skills including the ability to create and deliver clear reports and documentation.

PREFERENCES

• Experience working in small teams
• Experience working with scientific data a plus
• Knowledge of computational biology and bioinformatics is a plus.
• Working knowledge of PHP, Javascript (jQuery/AJAX), HTML5, and CSS3 (additional skills in SVG is a plus)
• Degree in computer science, information systems, bioinformatics or related fields is preferred.

LOCALE

COMPENSATION

HOW TO APPLY