Principal ML Scientist – Predictive Toxicology

📋 Description

• Lead scientific strategy for predictive toxicology and quantitative biology.
• Define modelling approaches and data strategies for safety decisions.
• Build and optimize ML models with molecular AI techniques.
• Apply federated learning for collaborative model development.
• Integrate multi-omics, imaging, and screening into scalable solutions.
• Collaborate with customers and partners on adoption and roadmap.

🎯 Requirements

• PhD or equivalent in computational biology, cheminformatics, toxicology, ML, or related field.
• 6+ years applying ML to drug discovery or life sciences.
• Strong DL methods for molecular AI and predictive modelling.
• Proven experience building predictive toxicity models.
• Knowledge of toxicity workflows (DILI, cytotoxicity, genotoxicity).
• Experience with RNA-seq, toxicity data, or high-throughput screens.

🎁 Benefits

• Competitive compensation with virtual share options.
• Fully remote-first with flexibility to work from Europe.
• Wellbeing budget and mental health support.
• Work-from-home budget and coworking stipend.
• Professional development budget and holiday allowance.
• Opportunities for office days in Europe.