Greg Cooper, Ph.D.
Education Level: Undergraduate, Graduate
Hours per Week: 30
Number of Positions Anticipated: 1
Description:
This computational internship position requires an upper-level undergraduate or Master’s level student. The opportunity will involve programming to support a clinical genetics research project. Particular focus will be given to the development of computational tools to track and manage analyses. Additionally, the intern will help with the construction of project-specific relational databases. As this position requires both biological and computer science concept mastery, applicants should have a strong interest in both.
Specific Requirements:
- Fluency in multiple computational environments, especially OS X and command line interfaces with UNIX-like operating systems.
- Experience with database construction and SQL.
- Experience with one or more scripting languages like Perl, Python, or others.
- Comfort manipulating large text files and datasets from diverse information sources.
- An ability to write clear, stable, and documented code
- Strong communication skills and a readiness to work with others.
- Web programming experience is also desired.