Katey Enfield
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Spatial organisation of the lung tumour microenvironment and associations with clinical outcomes.
My current research positions seek to understand how lung tumour, immune and stromal cells interact to enhance or repress the anti-tumour immune response. This position offers the unique opportunity to work in a translational research environment at the BC Cancer Research Institute, and be part of a collaborative team of interdisciplinary cancer researchers and clinicians.
Successful applicants will work with data from state-of-the-art technologies and apply statistical methods and machine learning to quantify the spatial organisation of cells in the lung tumour environment. These spatial metrics will be correlated with cancer and immune phenotypes to derive a mechanistic understanding of the factors influencing lung cancer patient outcomes.
Applicants should have a background in bioinformatics, math and/or physics and be comfortable with coding. A strong interest in cancer research and a desire to work collaboratively are essential.
Required skills
- Experience in coding (e.g. python, R, bash)
- Knowledge of statistics
- Excellent writing and presentation skills
- Capacity to work both independently and part of a team
- Strong desire to work in cancer research
Desired skills
- Fundamentals in molecular biology, immunology and/or genetics
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ADVICE AND INSIGHTS FROM UBC FACULTY ON REACHING OUT TO SUPERVISORS
These videos contain some general advice from faculty across UBC on finding and reaching out to a potential thesis supervisor.
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