Opportunities for Student Assistants
Computational Biology Student Assistant
Are you interested in applying your computational and statistical skills to challenging computational biology problems? Our research group develops and applies advanced methodology to mine large volumes of molecular and clinical data to understand and model mechanisms of molecular processes, diseases, and treatments. The assistant will work in a small group focusing on gene expression changes pertaining to cancer, and normal tissue growth.
The assistant will support in the analysis of the following projects:
- Identifying how gene expression changes in endothelial tissue as it is grown in preparation for implantation.
- Identifying major changes in tumor and the surrounding tissue during tumor development.
- Identifying splicing changes in pancreatic cancer.
- Extending statistical models for identifying genes that are under translational control.
Each of these projects already have pre-processed data available and are ready to be worked on immediately.
The position offers ample opportunities for contributing to the research in the group and co-authorships of peer-reviewed publications. Successful candidates will show a strong work ethic and be enthusiastic about working in a highly interdisciplinary environment with computer scientists and computational biologists. Excellent communication skills (written and verbal) in English are essential.
The assistant will also need to have the following skills:
- Experience in Linux environment
- Strong programming skills (at least 1-2 years of experience)
- Some exposure to the programming language R
- Basic understanding of statistics
- Interest in biology