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?
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.
Apply directly or reach out for a confidential discussion.
