🛠 Tech Stack

💼 About This Role

You'll develop and implement scalable computational workflows for multi-omics and population genetics data, leading integration efforts to uncover disease biology and identify therapeutic targets. You'll partner closely with experimental and machine learning teams to validate hypotheses and guide drug discovery programs. This role offers an opportunity to work on cutting-edge multi-omics data at an innovative TechBio company with collaborations like GSK.

🎯 What You'll Do

• Develop computational workflows for multi-omics and population genetics analysis.
• Lead multi-modal data integration to uncover disease biology.
• Design statistical models for genomics, transcriptomics, and other omics datasets.
• Partner with experimental and ML teams to validate hypotheses.

📋 Requirements

• PhD in genomics, computational biology, bioinformatics, or related quantitative field.
• Post-PhD experience in industry, biotech, or pharma.
• Strong track record in statistical genetics and multi-omics analysis.
• High proficiency in Python and R, with HPC experience.

✨ Nice to Have

• Familiarity with single-cell transcriptomics or patient-derived datasets.
• Experience in interdisciplinary biotech/pharma teams.
• Knowledge of machine learning techniques for biological data.

🎁 Benefits & Perks

• 🔬 Work at the forefront of computational genomics in a world-class lab.
• 🤝 Collaborate with top pharma partners like GSK.
• 🏙️ Central London location with state-of-the-art facilities.
• 🌍 Impact patient lives through drug discovery.
• 📚 Publishing opportunities and scientific visibility.