Medior/ Senior Bioinformatics Scientist- Discovery & Preclinical UK (London)

onenucleus; Greater London; On-site; GBP 80,000 - 100,000; Full time

Job summary

A rapidly growing bioinformatics consultancy is seeking a consultant to support target identification and biomarker discovery. You will work on-site with clients, collaborating with experimental scientists to explore biological mechanisms and drive data-informed decisions. The role focuses on integrative analysis of molecular data in a dynamic R&D environment, requiring a strong foundation in bioinformatics and the ability to engage with cross-functional teams.

Qualifications

• Strong foundation in bioinformatics and data science.
• Experience collaborating with experimental scientists.
• Ability to support drug discovery and biomarker development.

Responsibilities

• Support target identification and validation.
• Conduct biomarker discovery through integrative analysis.
• Collaborate with client teams to drive data-informed decisions.

Job description

BioLizard (“The Lizards”) is a rapidly growing bioinformatics and data science consultancy that helps biotech and pharma organizations transform complex biological data into actionable insights. We combine deep biological expertise with state-of-the-art computational methods to accelerate drug discovery, biomarker development, and translational research.

As a BioLizard consultant, you’ll work on-site at our client’s premises, embedded as part of their bioinformatics team, supporting the discovery teams across different programs, to explore biological mechanisms and drive data-informed decisions in early R&D. You’ll collaborate closely with experimental scientists and computational peers to identify new targets, characterize models, and refine hypotheses that shape future therapies.

Your Role

You will support target identification, validation, and biomarker discovery through integrative analysis of molecular data across systems and disease models. You’ll be part of a dynamic environment where curiosity, collaboration, and biological understanding meet data-driven rigor.