Make your mark for patients
We are looking for a Scientist or Senior Scientist who is curious, hands‑on, and impact‑driven to join our UK Research team, contributing to cutting‑edge spatial biology and spatial omics research within UCB’s Immune Memory focus area, based in Slough, UK & moving to Windlesham in 2027.
This role combines wet‑lab and computational work, with the opportunity to directly influence discovery and development of innovative therapies. This
About the Role
In this role, you will work end‑to‑end on spatial omics projects, applying advanced laboratory techniques alongside computational analysis to deepen understanding of disease biology and patient heterogeneity. You will generate and analyse spatial transcriptomic data from in‑house studies, external partners, and public datasets, integrating multiple technologies to support target discovery, translational research, and clinical development.
Your work will span early research through to clinical development, using in vitro, in vivo, and clinical tissue samples, and will contribute to identifying patient populations most likely to benefit from UCB’s therapeutic solutions.
Who You’ll Work With
You will work closely with histology specialists, bioinformatics colleagues, project teams, and cross‑functional stakeholders across research and development. You will also collaborate with external academic and industry partners to ensure UCB remains at the forefront of spatial biology and drug discovery.
What You’ll Do
1. Design and deliver spatial omics experiments and analyses aligned to project objectives.
2. Generate spatial transcriptomic data using platforms such as Visium HD, Xenium/CosMX, GeoMX, and complementary methods including RNAscope, IHC/IF, and H&E.
3. Perform histology activities including tissue processing, sectioning, staining, antigen retrieval, and reagent optimisation.
4. Analyse spatial transcriptomics and imaging data using computational and visualisation tools.
5. Integrate spatial data into broader tissue‑profiling pipelines to support disease understanding and decision‑making.
6. Communicate findings clearly through reports, visualisation platforms, and cross‑functional presentations.
7. Maintain high standards of documentation, compliance, and data integrity using electronic lab notebooks.
8. Contribute to publications, patents, and scientific dissemination where appropriate.
9. Support the evolution of UCB’s spatial biology capabilities by staying current with emerging technologies and literature.
10. Mentor and support colleagues, depending on experience level.
11. Ensure compliance with HTA, Health & Safety, and regulatory requirements when working with human tissue.
Interested? For this role we’re looking for:
12. BSc, MSc, or PhD in a relevant life‑science or computational discipline.
13. 2–3 years’ hands‑on experience generating and analysing spatial omics data.
14. Practical experience with spatial transcriptomics and histology‑based methods.
15. Strong computational skills for spatial data analysis (Python/sc‑verse preferred; R also valued).
16. Experience with image analysis and collaboration platforms such as QuPath, Visiopharm, or OMERO.
17. Familiarity with Git, version control, and scalable data workflows.
Are you ready to ‘go beyond’ to create value and make your mark for patients? If this sounds like you, then we would love to hear from you!