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.