Computational Immunologist – Single-Cell T Cell Dynamics

University of Cambridge; Cambridge; On-site; GBP 35,000 - 46,000; Full time

Job summary

University of Cambridge invites applications for a fixed-term Research Associate/Assistant to explore regulation of human tissue-resident T cells using state-of-the-art single-cell technologies. The successful candidate will work within Prof.

Christina Zielinski's group on multi-organ datasets and contribute to high-impact publications. The role seeks an immunologist or computational scientist with experience in semi-independent work, collaboration, and strong communication.

Qualifications

• Experience with single-cell computational methods and immunology.
• Ability to work semi-independently and in a collaborative team.
• Strong communication, organizational and problem-solving skills.

Responsibilities

• Apply multimodal single-cell technologies to study tissue-resident T cells across organs.
• Analyze datasets (scRNAseq, TCR-seq, CITE-seq, spatial transcriptomics) and contribute to publications.
• Drive research objectives and present results internally and externally.

Skills

Single-cell analysis

Computational biology

Immunology

Data analysis

Team collaboration

Education

PhD (or in submission) in immunology/computational biology

Tools

R

Python

Job description

University of Cambridge invites applications for a fixed-term Research Associate/Assistant to explore regulation of human tissue-resident T cells using state-of-the-art single-cell technologies. The successful candidate will work within Prof.

Christina Zielinski's group on multi-organ datasets and contribute to high-impact publications. The role seeks an immunologist or computational scientist with experience in semi-independent work, collaboration, and strong communication.