The Ali group invites applications for a computational post-doctoral research associate. Our research aims to understand how the multicellular structure of breast tumours determines relapse, metastasis, and therapeutic response. We characterise human breast tumour ecosystems using highly multiplexed tissue analysis via imaging mass cytometry and sophisticated image processing. Quantitative analysis of these data is used to understand tumours as complex, dynamic heterocellular ecosystems1-3.
We are assembling tissue imaging datasets of unprecedented depth and size in both observational studies and clinical trials. This will enable us to unmask spatial phenotypic traits that emerge during disease progression and treatment, and to identify those that drive prognosis and therapeutic response. The main aim of this project is to characterise regulators of an immunosuppressive TME and their impact on immunotherapy response. To address this question reliably, we have generated a novel highly curated dataset using samples from a major breast cancer immunotherapy trial. The project would particularly appeal to computational biologists experienced in immunology or analysis of the TME.
As a member of our team, you would contribute to cutting-edge translational research designed to unravel the complex multicellular ecosystems that drive breast cancer.
Fixed-term: The funds for this post are available for 3 years in the first instance.
Once an offer of employment has been accepted, the successful candidate will be required to undergo a basic disclosure (criminal records check) check and a security check.
We welcome applications from individuals who wish to be considered for part-time working or other flexible working arrangements.
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Please quote reference SW43061 on your application and in any correspondence about this vacancy.
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