Head of Toxicology Innovations, Germany - all genders
Core
Leading a multidisciplinary team to shape the future of computational toxicology using AI, machine learning, and quantitative systems toxicology (QST) modeling to accelerate drug development and improve patient safety.
Role type
Head of Toxicology Innovations (Leadership)
Builds
AI-ready infrastructure and digital toxicology toolkit connecting toxicology data to broader R&D AI priorities
Domain
Biopharma / Computational Toxicology / AI & Machine Learning
Deliverable
production ML models | infrastructure
Required skills
Advanced degree in Toxicology/Computational biology/Pharmacology/Cheminformatics, leadership of multidisciplinary scientific teams, AI/ML model development, mathematical QST modeling, integration of computational tools into drug discovery workflows, familiarity with regulatory frameworks for in silico methods (ICH M7, OECD guidelines), strategic roadmap definition, cross-functional collaboration
Preferred skills
German language fluency
Technologies
AI/ML frameworks, QST modeling tools, digital toxicology platforms
Responsibilities
Lead and develop a high-performing team of computational toxicology scientists, drive development and application of AI/ML and QST modeling for toxicity issue resolution, integrate digital tools to improve operational efficiency, build an AI-ready data and digital foundation, modernize the Digital Toxicology Toolkit, champion Digital Toxicology capabilities through education and training, define roles and upskilling pathways for the team
Seniority
Senior, hands-on IC with leadership responsibilities
