Senior Data Scientist – Computational Biology & Drug Discovery

Hlx Life Sciences; Greater London; Hybrid; GBP 65,000 - 85,000; Full time

Job summary

Hlx Life Sciences is seeking a Senior Data Scientist specializing in Computational Biology & Drug Discovery to join their innovative team in London, UK. This hybrid role involves analysing complex biological datasets and applying machine learning to drive therapeutic discovery.

The ideal candidate will have a strong data science background and experience in biotechnology or pharma, particularly with biological data. If you're eager to contribute to groundbreaking therapeutic discovery through advanced analytics, we'd love to hear from you.

Qualifications

• Strong background in Data Science, Computational Biology, or related fields.
• Experience in biotech, pharma, drug discovery, or TechBio.
• Familiarity with genomics, single-cell, and multi-omics data.

Responsibilities

• Analyse complex biological and multi-omics datasets.
• Apply ML and statistical modelling to drug discovery challenges.
• Interpret model outputs in a biological context.

Skills

Strong background in Data Science

Computational Biology

Experience in biotech

Strong Python skills

Experience with ML applied to biological data

Strong critical thinking

Tools

Python

R

Reactome

Job description

Senior Data Scientist – Computational Biology & Drug Discovery

Drug Discovery | Multi-Omics | Machine Learning

Location : London, UK (Hybrid)

About the Role

We’re partnering with an innovative TechBio company at the intersection of computational biology, machine learning, and drug discovery. The team is building advanced computational approaches to better understand human biology and accelerate therapeutic discovery across complex diseases.

This role is ideal for a scientifically grounded data scientist with a strong computational background who thrives on interpreting machine learning outputs in a biological context — not just building models, but extracting meaningful biological insight that can influence discovery decisions.

What You’ll Be Doing

• Analyse complex biological and multi-omics datasets
• Apply ML and statistical modelling to drug discovery challenges
• Interpret model outputs in a biological context
• Work with pathway databases, knowledge graphs, and large-scale biological data
• Collaborate with computational biology and data science teams

What We’re Looking For

• Strong background in Data Science, Computational Biology, Bioinformatics, Statistics, Computer Science, Physics, Mathematics, or related fields
• Experience in biotech, pharma, drug discovery, or TechBio
• Strong Python and/or R skills
• Experience with ML applied to biological data
• Familiarity with genomics, single-cell, spatial, proteomics, or multi-omics data
• Experience with Reactome, KEGG, OpenTargets, STRING, or similar databases is a plus
• Strong critical thinking and ability to interpret ML outputs biologically

Preferred Background

• Production or implementation experience
• Multi-modal / cross-modality biology experience
• Exposure to LLMs or AI agents

Interested?

Apply directly or reach out for a confidential discussion.

If you’re excited by the opportunity to combine machine learning, computational biology, and translational science to drive real-world therapeutic discovery, we’d love to hear from you.