Principal ML Scientist – Predictive Toxicology

📋 Description Lead scientific strategy for predictive toxicology and quantitative biology Develop ML models with molecular AI techniques (GNNs, transformers) Apply federated learning for collaborative model development Integrate multi-omics and screening workflows into scalable solutions Collaborate with customers/partners on evaluation and roadmap Translate complex scientific problems into practical AI solutions 🎯 Requirements PhD or equivalent in computational biology, toxicology, ML, or related field 6+ years applying ML to drug discovery or life sciences Strong DL knowledge for molecular AI and predictive modeling Proven toxicity model development and adoption experience Knowledge of DILI, cytotoxicity, genotoxicity or related safety endpoints Experience with RNA-seq, toxicity screening, high-content imaging data 🎁 Benefits Competitive compensation with virtual share options Fully remote-first working model Wellbeing budget and mental health support WFH budget and co-working stipend Development budget, generous holiday allowance Opportunities for European office days