Senior Bioinformatics Scientist - Multi-Omics

UCB; Slough; Hybrid; GBP 75,000 - 95,000; Full time

Job summary

UCB is seeking a Senior Bioinformatics Scientist in Slough, UK, to join the Data Science and Analytics team. You will integrate multi-omics data to support target identification, biomarker discovery, and translational research across discovery and clinical development.

You will combine biology with computational methods, spanning bulk, single-cell, spatial transcriptomics and proteomics, and contribute to precision medicine.

Qualifications

• PhD or MSc with significant industry experience in bioinformatics.
• Strong ability to analyze and biologically interpret omics data (bulk, single-cell, spatial).
• Experience in pharmaceutical/biotech settings is ideal.
• Proficient in Python and R; capable of reproducible pipelines with Nextflow/Snakemake.

Responsibilities

• Contribute to target hypotheses, asset prioritisation, and patient stratification using multi-omics data.
• Work across data types from bulk to spatial transcriptomics and proteomics.
• Develop and apply analytical methods for functional interpretation and pathway analyses.
• Integrate diverse datasets to generate mechanistic biological insights.
• Apply ML and systems biology approaches; communicate findings clearly.
• Support evolution of bioinformatics workflows and data integration strategies.

Skills

Python

R

Nextflow

Snakemake

Docker

Git

Azure DevOps

Cloud computing

HPC

Multi-omics data analysis

Education

PhD in Bioinformatics

Computational Biology

Computational Genetics

Life Sciences

MSc with industry experience

Tools

DNAnexus

AWS

Azure DevOps

Kubernetes

Job description

UCB is seeking a Senior Bioinformatics Scientist in Slough, UK, to join the Data Science and Analytics team. You will integrate multi-omics data to support target identification, biomarker discovery, and translational research across discovery and clinical development.

You will combine biology with computational methods, spanning bulk, single-cell, spatial transcriptomics and proteomics, and contribute to precision medicine.