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Research Assistant (Fixed Term)

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University of Cambridge

Cambridge

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Research Assistant (Fixed Term)

30 April 2026

Location

Cambridge

University of Cambridge

Type

Fixed Term Staff

Salary

£33,002-£35,608

Required Qualifications

First or Master's degree (computer science, bioinformatics, life sciences)
Single-cell computational methods
Immunology experience
Seurat and Scanpy pipelines
Coding skills
Independent and team work

Research Areas

Bioinformatics
Single-cell RNA-seq (scRNAseq)
TCR-seq
CITE-seq
T cell immunity
Tissue resident T cells
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Research Assistant (Fixed Term)

We are looking for a Research Assistant in bioinformatics with experience in single-cell computational methods and immunology. The Research Assistant will be a junior team member with a First or Master's degree in a related subject (e.g. computer science, bioinformatics, life sciences) and will join Prof. Christina Zielinski's group to unravel how the regulation of human tissue resident T cells across organs and to decode their tissue specific functions.

Using multimodal state-of-the-art single-cell technologies (scRNAseq, TCR-seq, CITE-seq), high-dimensional flow cytometry and other high-throughput cell culture technologies for the analysis of human tissues from multi-organ donors and from patients after allogeneic stem cell transplantation, we have generated data sets for our ERC-funded project ORGANise-T to leverage the dynamics by which different T cell types (etc. CD8, CD4, gd T cells, MAIT cells) adapt to distinct tissue microenvironments and compartmentalize across the human body (function, TCR-repertoires). The candidate will have the possibility to analyze additional transcriptomic data sets related to the regulation of T cells in health and disease in collaboration with other team members and external partners.

Overall, ORGANise-T will establish first-of-its-kind insights into the spatio-temporal dynamic organisation of human T cell immunity in tissues. This will bring the next generation of immunotherapies to the level of tissue selectivity.

The post is a unique opportunity for an enthusiastic computational scientist or an immunologist with solid bioinformatic skills (coding, Seurat and Scanpy pipeline usage) with an aptitude for semi-independent work. It provides multiple opportunities for collaboration on other single-cell genomic projects. The research assistant position might also allow transition to a PhD position.

The ability to work both independently and as part of a team, coupled with excellent communication, organizational and problem-solving skills is required. Other duties/responsibilities include contributing to research and publications and writing up own research

Once an offer of employment has been accepted, the successful candidate will be required to undergo a health assessment.

Please ensure that you upload your Curriculum Vitae (CV), a motivation letter detailing project and career development plans and include a publications list in the upload section of the online application. Please provide contact details, including an email address of two referees. At least one of your referees should be someone who is familiar with your work in your primary research field. If you upload any additional documents that have not been requested, we will not be able to consider these as part of your application.

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.

Informal enquiries and requests for further information are very welcome and should be addressed to Prof. Christina Zielinski cez22@cam.ac.uk

If you have any queries regarding the application process, please contact: hr@path.cam.ac.uk

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

Please quote reference PK49364 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.

Apply online

Key information

  • Department/location: Department of Pathology
  • Salary: £33,002-£35,608
  • Reference: PK49364
  • Category: Research
  • Date published: 9 April 2026
  • Closing date: 30 April 2026

Download further information: Further Particulars

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Frequently Asked Questions

📚What qualifications are required for this Research Assistant position?

Candidates need a First or Master's degree in a related field such as computer science, bioinformatics, or life sciences. Experience in single-cell computational methods and immunology is essential. Explore similar roles on our research assistant jobs page for preparation tips.

🛠️What key skills and tools are needed for bioinformatics analysis?

Proficiency in coding, Seurat and Scanpy pipelines is required for analyzing scRNAseq, TCR-seq, and CITE-seq data. Strong problem-solving, communication, and organizational skills are also vital. Check postdoctoral success tips for skill-building advice.

📋How do I apply for this University of Cambridge Research Assistant role?

Upload your CV, motivation letter (detailing project and career plans), publications list, and contact details for two referees (one from primary research field). Quote reference PK49364 and apply via the online system. Visit free resume template and cover letter template for support.

💼What is the salary, duration, and any PhD transition opportunities?

Salary is £33,002-£35,608. This is a fixed-term position with potential transition to a PhD. It offers collaboration on single-cell genomic projects in Prof. Zielinski's group. See research jobs for comparable opportunities.

🔬What is the research focus of the ORGANise-T project?

The ERC-funded ORGANise-T project investigates human tissue resident T cells (CD8, CD4, γδ T, MAIT) using multimodal single-cell technologies like scRNAseq, flow cytometry from multi-organ donors and transplant patients. Aims to decode tissue-specific functions for next-gen immunotherapies. Learn more via clinical research jobs.

📧Who should I contact for enquiries about this bioinformatics role?

Direct informal enquiries to Prof. Christina Zielinski at cez22@cam.ac.uk. For application queries, contact hr@path.cam.ac.uk. Applications from women and BME candidates are encouraged.
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