20 часов назад
Head of Toxicology Innovations (AI)
113 760 - 151 680€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Head of Toxicology Innovations (AI) (Computational Toxicology/QST): Leading the development and application of AI/ML, quantitative systems toxicology models, and digital tools that accelerate drug development and improve patient safety with an accent on computational toxicology, clinical translatability, and AI-ready data infrastructure. Focus on modernizing validated digital toxicology tools, integrating cross-functional R&D platforms, and building a multidisciplinary scientific team.
Location: Frankfurt am Main, Germany; onsite
Salary: €113,760–€151,680 annually
Company
is an R&D-driven biopharmaceutical company developing medicines and vaccines through science, data, and AI.
What you will do
- Lead and develop a multidisciplinary team of computational toxicology scientists, managing scientific resources, team strategy, and capability growth.
- Drive the development and application of AI/ML and quantitative systems toxicology models for toxicity issue resolution and clinical translatability.
- Integrate digital tools and platforms into Preclinical Safety workflows to improve efficiency, reproducibility, and data-driven decision-making.
- Build an AI-ready data and digital foundation connecting toxicology insights with broader R&D disciplines.
- Modernize the Digital Toxicology Toolkit, ensuring tools are fit-for-purpose, validated, and aligned with regulatory expectations.
- Champion digital toxicology through education, training, advocacy, and cross-functional collaboration with scientific, digital, and business strategy teams.
Requirements
- Advanced degree, preferably a PhD, in Toxicology, Computational Biology or Chemistry, Pharmacology, Cheminformatics, or a related discipline.
- Strong experience in computational toxicology or quantitative systems toxicology modeling within pharmaceutical or biotech environments.
- Hands-on experience developing AI/ML models, mathematical QST models, and integrating computational tools into drug discovery and development workflows.
- Familiarity with regulatory frameworks for in silico methods, including ICH M7 and OECD guidelines.
- Demonstrated leadership of diverse, multidisciplinary scientific teams, including resource management and individual development planning.
- Fluent English is required; German is an advantage.
Culture & Benefits
- Work at the forefront of AI-powered drug development and digital toxicology.
- Collaborate with scientists, digital experts, and business leaders across a global R&D network.
- Access ’s global learning ecosystem, leadership development programs, and SkillsPower upskilling platform.
- Join the scientific community in Frankfurt, one of Europe’s leading life sciences locations.
- Participate in company employee benefit programs, subject to eligibility.
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