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Immunology and Computational Biology● OpenResearch staff★ EU-FUNDEDPreview

Research Assistant/Associate in Computational Immunology

Join an ERC-funded project at the University of Cambridge to decode human tissue-resident T cell regulation using single-cell genomics.

Best for:Best for computational scientists or immunologists with experience in single-cell genomics and a strong interest in human immunology.

University of Cambridge · Cambridge, United Kingdom · R2 · Recognised researcher
More professors at University of Cambridge
single-cell genomicsT cell immunologyspatial transcriptomicstranscriptomic data analysistissue microenvironment
This is a research staff position — not a PhD studentship.
Deadline
Nov 9, 2026
20 days
Funding
Salaried
£33.0k–£46.0k/yr
Start date
2026-12-01
Fixed-term
Location
Cambridge
United Kingdom

Overview

The Department of Pathology at the University of Cambridge is seeking a computational scientist or immunologist for a fixed-term position within Professor Christina Zielinski's research group. The successful candidate will contribute to the ERC-funded project ORGANise-T, analyzing multimodal single-cell datasets to understand how human T cells adapt to distinct tissue microenvironments. Responsibilities include developing research objectives, analyzing large-scale transcriptomic data, and preparing findings for publication. This role offers an exciting opportunity to collaborate with multidisciplinary teams and advance next-generation immunotherapies.

single-cell RNA sequencingTCR-seqCITE-seqspatial transcriptomicsimmunologycomputational biologyERC projectUniversity of Cambridge

What you'll do

  • Analyze multimodal single-cell datasets including scRNA-seq, TCR-seq, CITE-seq, and spatial transcriptomics.
  • Investigate the regulation and tissue-specific functions of human tissue-resident T cells across various organs.
  • Develop and drive independent research objectives within the ORGANise-T project framework.
  • Collaborate with internal team members and external partners on genomic and transcriptomic studies.
  • Prepare research findings for presentation at academic conferences and publication in peer-reviewed journals.

Requirements

Degree required: BSc/MSc for Research Assistant level, or a PhD in a relevant scientific discipline for Research Associate level

Language: English

Instruction: English

Publications: Not specified

Required skills
  • Demonstrated experience in single-cell computational methods or immunology
  • Proficiency in analyzing high-throughput transcriptomic or genomic data
  • Ability to work effectively both independently and as part of an interdisciplinary team
  • Strong communication and problem-solving skills
  • Demonstrated organizational skills for managing research goals
Nice to have
Experience with spatial transcriptomics data analysisBackground in high-dimensional flow cytometry data analysisPrior research publication record in immunology or genomics
Eligibility
  • Must be eligible to live and work in the UK

Funding & terms

Type
Salaried
Amount
£33.0k–£46.0k/yr
Duration
2 years
Programme
ORGANise-T
EU-FUNDEDEuropean Research Council

How to apply

Deadline: 2026-11-09

Candidates must submit their application online through the university portal by the specified deadline. The submission must include a detailed Curriculum Vitae, a motivation letter outlining project and career development plans, and a complete publications list. Applicants should also arrange for two referees to provide contact details, with at least one familiar with the candidate's primary research field.

Documents required
  • CV
  • Motivation letter
  • Publications list
  • Contact details of two referees
↗Apply on site

Contact

Christina Zielinski· Professor

cez22@cam.ac.uk

CZ
Prof.
Christina Zielinski
Department of Pathology
Lab
Christina Zielinski Group
University of Cambridge
ORGANise-TUnited Kingdom
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