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Research Associate (Ali Group) (Fixed Term)

  • Job
    Full-time
    Entry, Junior & Mid Level
  • Research & Development
  • Cambridge
    Remote

AI generated summary

  • You must be a computational biologist with immunology or TME analysis experience, eligible to work in the UK, and able to pass background checks. Flexible working options available.
  • You will analyze human breast tumor ecosystems using imaging mass cytometry, conduct quantitative data analysis, and uncover phenotypic traits influencing prognosis and treatment response.

Requirements

  • - Computational biologists experienced in immunology or analysis of the TME
  • - 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
  • - 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
  • - 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

Responsibilities

  • - Characterise human breast tumour ecosystems using highly multiplexed tissue analysis via imaging mass cytometry and sophisticated image processing.
  • - Conduct quantitative analysis of imaging mass cytometry data.
  • - Assemble tissue imaging datasets of unprecedented depth and size in both observational studies and clinical trials.
  • - Unmask spatial phenotypic traits that emerge during disease progression and treatment.
  • - Identify spatial phenotypic traits that drive prognosis and therapeutic response.
  • - Characterise regulators of an immunosuppressive TME and their impact on immunotherapy response.
  • - Contribute to cutting-edge translational research designed to unravel the complex multicellular ecosystems that drive breast cancer.

FAQs

What is the main focus of the research associated with this position?

The main focus is to understand how the multicellular structure of breast tumours determines relapse, metastasis, and therapeutic response, particularly by characterising regulators of an immunosuppressive tumor microenvironment (TME) and their impact on immunotherapy response.

What are the primary responsibilities of the Research Associate?

The primary responsibilities include contributing to cutting-edge translational research, analysing highly multiplexed tissue datasets, performing quantitative analysis, and helping to identify spatial phenotypic traits that drive prognosis and therapeutic response.

Is this position a full-time or part-time role?

The position is fixed-term for 3 years, and we welcome applications from individuals who wish to be considered for part-time working or other flexible working arrangements.

What qualifications are needed for this role?

We are looking for candidates with experience in computational biology, specifically in immunology or analysis of the tumor microenvironment (TME). A Ph.D. in a relevant field is typically required.

What kind of datasets will the successful candidate be working with?

The successful candidate will be working with a novel, highly curated dataset generated from samples of a major breast cancer immunotherapy trial, which includes tissue imaging datasets of unprecedented depth and size.

Are there any specific requirements for the application process?

Yes, applicants are required to upload a 2-page Curriculum Vitae (CV), a covering letter, and a publications list during the online application process. Additional documents outside of these requests will not be considered.

What is the application reference number for this position?

The application reference number is SW43061, and it should be quoted in your application and in any correspondence regarding this vacancy.

Will the successful candidate have to undergo any checks?

Yes, once an offer of employment has been accepted, the successful candidate will be required to undergo a basic disclosure (criminal records check) and a security check.

Is there support for diversity and inclusion in the hiring process?

Yes, the University actively supports equality, diversity, and inclusion and encourages applications from all sections of society.

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The University of Cambridge is one of the world's foremost research universities. The University is made up of 31 Colleges and over 150 departments, faculties, schools and other institutions. Its mission is 'to contribute to society through the pursuit of education, learning, and research at the highest international levels of excellence'​.