Overview
In this role you will lead end-to-end spatial omics projects in UCB's UK Research team, combining wet-lab work with computational analysis to advance disease biology understanding and patient stratification. You will generate and analyse spatial transcriptomic data from in-house studies, partners, and public datasets to support target discovery, translational research, and clinical development. You will work across early research to clinical development using tissue samples, contributing to therapies that benefit patients. You will collaborate with cross-functional teams, maintain data integrity, and stay at the forefront of spatial biology techniques.
Pay / Benefits
- hybrid-first work model with office time
- equal opportunity employer
- opportunity to work with cutting-edge spatial biology
- collaborative and inclusive culture
Responsibilities
- Design and deliver spatial omics experiments and analyses aligned to project objectives
- Generate spatial transcriptomic data using platforms such as Visium HD, Xenium/CosMX, GeoMX; include RNAscope, IHC/IF, and H&E
- Perform histology activities including tissue processing, sectioning, staining, antigen retrieval, and reagent optimisation
- Analyse spatial transcriptomics and imaging data using computational tools
- Integrate spatial data into broader tissue‑profiling pipelines to support disease understanding and decision‑making
- Communicate findings via reports, visuals, and cross‑functional presentations
- Maintain high standards of documentation, compliance, and data integrity using electronic lab notebooks
- Contribute to publications, patents, and scientific dissemination where appropriate
- Support evolution of UCB’s spatial biology capabilities by staying current with emerging technologies and literature
- Mentor and support colleagues, depending on experience level
- Ensure compliance with HTA, Health & Safety, and regulatory requirements when working with human tissue
Key requirements
- BSc, MSc, or PhD in a relevant life‑science or computational discipline
- 2–3 years’ hands‑on experience generating and analysing spatial omics data
- Practical experience with spatial transcriptomics and histology‑based methods
- Strong computational skills for spatial data analysis (Python/sc‑verse preferred; R also valued)
- Experience with image analysis and collaboration platforms such as QuPath, Visiopharm, or OMERO
- Familiarity with Git, version control, and scalable data workflows
- collaborative and cross‑functional communication
- problem solving with a proactive, hands‑on approach
- attention to detail and data integrity
- spatial omics data generation and analysis
- spatial transcriptomics platforms (Visium HD, Xenium/CosMX, GeoMX)
- RNAscope, IHC/IF, H&E
Scientist/Senior Scientist - Spatial OMICs & Spatial Biology Analysis in Slough employer: Ucb Group
UCB is an exceptional employer that fosters a collaborative and innovative work culture, where employees are encouraged to push boundaries and create meaningful value for patients. Located in Slough, our hybrid-first approach allows for flexibility while working alongside experienced scientists in a supportive environment that prioritises personal growth and career development. Join us to be part of a team that values inclusivity and empowers you to make your mark in the biopharmaceutical industry.
