Post-Doctoral Fellow in Computational Cancer Biology
- Institution/Company:
- Princess Margaret Cancer Centre - UHN
- Location:
- Toronto, ON, Canada
- Job Type:
-
- Postdoctoral
- Degree Level Required:
- PhD
- Apply Now
Post-Doctoral Fellow in Computational Cancer Biology
The Kridel lab is seeking a talented postdoctoral fellow to lead an ongoing project that aims to establish a definitive, molecular classification system of follicular lymphoma. The ultimate goal is to develop biology-driven biomarkers that will improve patient outcomes. To this effect, we are leveraging large cohorts of primary patient samples from retrospective and clinical trials series for multi-omics characterization and integration. The sample resources are complemented by a large cohort of plasma samples which will allow to translate findings from tissue samples into liquid biopsy-based biomarkers. This project is linked to other similar efforts at our institution, and collaboration with other internal and external groups is ongoing. The successful candidate will be embedded in a rich scientific environment that provides ample opportunities for development of technical, as well as leadership skills. Highly motivated individuals with a desire to make an impact in the field of cancer genomics are encouraged to apply.
Responsibilities:
- processing of genomic data across multiple data dimensions (DNA methylation, targeted DNA sequencing, RNAseq, single-nuclei RNAseq) in collaboration with our bioinformatics staff
- integration of data types using clustering approaches
- critical analysis of results in light of the ambient literature
- development of a classification model using machine learning
- liaising with internal and external collaborators
- summarizing project output for presentations at lab meetings, as well as for external dissemination
- manuscript writing
- while funding for this position is available, the successful candidate will be encouraged to apply for internal and external fellowships
- independent thinking and involvement in the design of future research projects will be strongly encouraged
Qualifications:
- PhD degree in bioinformatics, computer science, statistics or molecular biology
- exceptional computational skills
- experience with cancer genomics
- excellent communication skills are required
- willingness to work in a team environment.