The Ohashi Lab at the Princess Margaret Cancer Centre (https://www.ohashilab.ca/) has openings for two CSC494/495 students interested in the scientific analysis of cancer immunology data to help decipher how immune systems and cancers interact in patients. You will work at the intersection of computer science, applied statistics and cancer molecular biology. Under the supervision of an experienced bioinformatician, you will help analyze RNA Sequencing data to understand similarities and differences between cancer samples from different patients.
What you’ll be exposed to in this project:
- The full data analysis lifecycle
o Data wrangling
o Exploratory data analysis and visualization (including summary statistics, visualizations, dimensionality reduction and clustering)
o Application and interpretation of published statistical models
o Presentation/report writing and communication with scientists - Lots of R programming
- Reproducible research methods and collaborative programming
- Statistical concepts and tests applied to modern, high-throughput cancer immunology data
You would greatly benefit from:
- A strong drive to learn: this is an interdisciplinary field with a steep learning curve, and you’ll be exposed to concepts and data from the beginning, so you’ll have to constantly apply your curiosity and drive to learn around the concepts and methods you’ll be exposed to (with our help)
- An existing interest in or experience with applied data analysis, especially in R
- Previous exposure to the Linux/Mac OS shell command-line environment
If you meet the qualifications for enrolling in CSC494/5 and you are interested in this project, please get in touch with us and let’s chat!
Who: Azin Sayad
Email: asayad@gmail.com
Email subject line: “Ohashi lab bioinformatics” (or comparable description)