Principal ML Scientist – Predictive Toxicology

About Apheris About the role What you will do What we expect from you Nice to have What we offer you At Apheris, we power federated data networks in life sciences to enable the development of machine learning models that outperform what any single organisation can build alone. Biopharma can only synthesise and test a finite number of compounds across assays, structural biology workflows, and complex ADME and toxicity endpoints, limiting the performance of models trained on in-house data. The Apheris product addresses this by hosting networks where biopharma organisations collaboratively train higher-quality models on their combined proprietary datasets without sharing the underlying data. Our federated computing infrastructure, with built-in governance and privacy controls, ensures that data IP and ownership always remain with the data custodians