Senior Bioinformatics Scientist - Multi-Omics Focus

UCB; Slough; On-site; GBP 70,000 - 100,000; Full time

Job summary

UCB is seeking a Senior Bioinformatics Scientist to join the Data Science and Analytics group in Slough. You will integrate multi-omics and patient-level data to support target ID, biomarker discovery, and patient stratification across therapeutic programs.

The role combines biology with computational analytics to advance precision medicine and translational research. Collaborations span biology, translational medicine, pharmacology, and data sciences.

Qualifications

• PhD in Bioinformatics, Computational Biology, Computational Genetics, Life Sciences or MSc with significant industry experience.
• Experience in pharma/biotech settings preferred.
• Experience analyzing omics data (bulk, single-cell, spatial) and immunology is a plus.

Responsibilities

• Contribute to target hypotheses, indication prioritization, asset differentiation, and patient stratification using multi-omics data.
• Work confidently across data types, from bulk and single-cell transcriptomics to genetics and proteomics, drawing biological meaning from each.
• Apply analytical methods for functional interpretation of biological data, including pathway and systems level analyses.
• Collaborate with scientists across biology, translational medicine, pharmacology, and data sciences to translate data into insights.
• Communicate complex findings clearly to scientific and non-scientific audiences.

Skills

Python

R

Nextflow

Snakemake

Git

Cloud computing

Omics data analysis

Single-cell transcriptomics

Spatial transcriptomics

Education

PhD in Bioinformatics

MSc in Life Sciences

Tools

Docker

DNAnexus

AWS

HPC

Job description

UCB is seeking a Senior Bioinformatics Scientist to join the Data Science and Analytics group in Slough. You will integrate multi-omics and patient-level data to support target ID, biomarker discovery, and patient stratification across therapeutic programs.

The role combines biology with computational analytics to advance precision medicine and translational research. Collaborations span biology, translational medicine, pharmacology, and data sciences.