• Working across the software life cycle, with an emphasis on design and development. • Systems may include scientific applications that search for data in large datasets which include biological, genomic and/or proteomic data. • Contributing to all parts of the application and testing stack. • Collaborating with the team to best realize system requirements, and providing custom implementations to create a compelling experience for system users. • Facilitating and explaining high-leverage decisions about architecture and software development. • Supporting a development team’s activities for writing clean, maintainable, testable, and extensible code. • Contributing to all aspects of the Software Development Lifecycle (e.g. Requirements, Design, Development, and Testing) • Collaborating with the team on Agile activities, including estimation, iterative planning and retrospectives. • Managing code and other artifacts using GitHub.