Research Associate

Cancer Research UK Cambridge Institute; Cambridge; On-site; GBP 35,000 - 45,000; Full time

Job summary

The Cancer Research UK Cambridge Institute invites applications for a post-doctoral research associate position in the Ali group. This role focuses on computational analysis of breast tumor ecosystems to enhance understanding of disease progression and treatment responses, utilizing advanced imaging techniques and data analysis.

Benefits

Flexible working arrangements

Support for equality, diversity and inclusion

Qualifications

• Experience with tissue imaging datasets.
• Ability to analyze complex biological data.
• Knowledge of the tumor microenvironment and immunotherapy.

Responsibilities

• Characterize human breast tumor ecosystems using multiplexed tissue analysis.
• Conduct quantitative analysis to understand tumor dynamics.
• Contribute to translational research and assist with data management.

Skills

Computational Biology

Immunology

Data Analysis

Education

PhD in Computational Biology or related field

Job description

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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.

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 SW43061 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.