The incumbent will be responsible for contributing to all aspects of scientific and bioinformatics software developing, testing, and validation within the Institute for Evolutionary Genomics and Medicine at Temple University (iGEM). Working within an agile development framework, you will help to develop, improve, and maintain standalone and web-based applications, libraries, standards, and bioinformatics tools. You will work in a cross functional team of academic and research faculty, postdoctoral fellows, and scientific software developers on genetic and sequence analysis and interpretation software, modern web-applications, and sophisticated back-end computational infrastructure for Big Data scale problems.
One of the key areas of focus for the newly established Institute for Evolutionary Genomics and Medicine at Temple University igem.temple.edu) is the development and dissemination of computational tools that are essential for advancing modern biomedical research and enabling precision and personalized medicine. The team at iGEM is responsible for developing popular software tools and platforms, including MEGA megasoftware.net), and HyPhy www.hyphy.org), which jointly account for up to 40% of scientific citations worldwide in their field, and have well over a hundred thousand users. Web services provided by iGEM (e.g., datamonkey.org) process tens of thousands of complex analysis requests monthly delivering free high-throughput computational facilities to researchers worldwide. Performs other duties as assigned.
Required Education & Experience:
- Bachelor's in Bioinformatics, Computer Science, Computational Biology, or related field.
- At least 2 years of related technical experience. Demonstrated experience in programming in Python and C++.
- Experience troubleshooting and resolving technical issues.
- An equivalent combination of education and experience may be considered.
Required Skills & Abilities:
- Familiarity with software development best practices: source control systems, unit testing, documentation, automated build environments, and agile software development.
- Proficiency with Linux and/or Mac OS X, including configuration, troubleshooting, and tuning.
- Strong verbal and written communication skills along with the ability to effectively interact with a diverse group of individuals.
- Ability to work nights and/or weekends, if necessary.
- Master’s degree
- Knowledge of key modern libraries for data manipulation and interface design (e.g. BioPython, jQuery, D3, Node.js).
- Solid understanding of genetics, modern sequencing techniques, and genome analysis.
- Previous working experience involving bioinformatics software development or testing.