How to Apply

Applicants interested in any training position in the Terry Fox Laboratory, including graduate students, are encouraged to email the faculty member directly with whom they would like to work with. Please include the following documents when applying:

  • Statement of your research interests and experience
  • CV
  • Transcripts (for graduate student applicants) and
  • Contact information for three references

Students interested in graduate training may apply directly to  a specific graduate program (e.g.  Medical Genetics, Interdisciplinary Oncology, Experimental Medicine, Cell & Developmental Biology, Bioinformatics and Genome Science & Technology) at UBC and indicate interest in a research project or specific supervisor in the Terry Fox Laboratory.

Current Open Positions

Graduate / Postdoctoral

Ongoing recruitment.

Possible projects: Role of leukemia stem cells in T-ALL, examining the tumor ecosytem in lymphomas, or pathogenetic mechanisms in T-ALL.

Interested applicants may submit letter of interest and CV to

Big Data Genome Studies

A graduate student position is available for students interested in pursuing MSc or Phd studies in Bioinformatics at the University of British Columbia. The project is aimed at characterizing the function of every mammalian gene through thorough analysis of every known and predicted gene in the mouse genome via “Big Data” analysis. To address this critical gap in biomedical research, the International Mouse Phenotyping Consortium was created to generate a null mutation for every gene in the mouse genome, to collect phenotypic data for each mutation, and to disseminate the data to the broader scientific community. Immunophenotyping by flow cytometry (FCM), is one of the 30 core phenotyping assays of this global effort. However, the full quantitative potential of the IMPC FCM effort can only be realized with mechanisms to effectively share, analyze and interpret the data.

The selected candidate will develop and use state-of-the-art computational methodologies for supervised and unsupervised clustering and classification to systematically analyze tens of thousands of high-dimensional samples to help understand the function of each gene. The candidate will also be supported to attend bioinformatics workshops and conferences to advance and disseminate their research.

Qualifications: The ideal candidate will have a strong background in Computational Biology, Bioinformatics, or equivalent with strong experience in handling high-throughput data sets as well as statistics and programming skills (we love R here). The individual will have strong verbal and written skills and the ability to work efficiently in a team environment.
In addition to the outstanding research opportunities available in this setting, students also enjoy the many cultural and sporting amenities provided in Vancouver.

Please contact Dr. Brinkman directly at and provide the following information:

– Short cover letter explaining your interest in the lab
– Resume
– Scanned copy of transcript or listing of course grades
– Names and contact information for two individuals who will be willing to provide letters of reference

Co-op Position

1 positions available Jan 2020 – Aug 2020 (8 months)

Investigating the inter/intra-tumor heterogeneity in follicular lymphoma and diffuse large B-cell lymphoma and their accompanying reactive immune components. This project utilizes state-of-the-art single cell analysis (mass cytometry (CyTOF), single cell RNA sequencing), and variety of bioinformatics tools (high dimensional data analysis, machine learning, Bayesian statistics and some deep learning method such as variational auto encoder) . This work is of direct clinical relevance in providing detailed phenotypic characterizations that are required in order to define biomarkers for lymphoma classification and prognosis, and monitoring of patient-specific responses to therapy. In this position you will have opportunities to learn and practice on: 1) handling and processing clinical samples; 2) maintaining and operating the CyTOF and multi-parameter flow cytometry; 3) Multi-dimensional data analysis. We prefer applicants who are detail-oriented and have a strong interest in bioinformatics/programming as such skills will allow for more involvement in data analysis.  Applicants may apply via their school's co-op program.

The candidate will work on pathogenetic mechanisms in T-ALL and/or analysis of tumor ecosystem in human lymphoma by mass cytometry (CyTOF).

Please contact your university Co-op program to apply.  

Back to top