The Ali group invites applications for a Research Assistant. 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 suitable candidate should have an MSc degree in computational biology degree or equivalent, with machine learning and artificial intelligence background. Previous experience in cancer research and immunology would be advantageous but is not essential.
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. The position would suit a candidate with a strong interest in cancer research.
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.
Applications are welcome from internal candidates who would like to apply for the role on the basis of a secondment from their current role in the University.
We welcome applications from individuals who wish to be considered for part-time working or other flexible working arrangements.
We particularly welcome applications from women and /or candidates from a BME background for this vacancy as they are currently under-represented at this level in our department.
Click the ‘Apply’ button below to register an account with our recruitment system (if you have not already) and apply online.
Please ensure that you upload a 2-page Curriculum Vitae (CV), a covering letter and publications list in the Upload section of the online application. If you upload any additional documents that have not been requested, we will not be able to consider these as part of your application.
Please quote reference SW43235 on your application and in any correspondence about this vacancy.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.
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