Computational Toxicology

Proficiency with tools such as: - OECD QSAR Toolbox - DEREK Nexus - VEGA QSAR - Toxtree - Familiarity with IUCLID Seeking a highly skilled Scientific Manager – Computational Toxicologist to leads and manages computational toxicology projects and teams. Additional to support regulatory toxicology, ecotoxicology, in silico risk assessment, and non-animal testing strategies for agrochemicals, biocides, and industrial chemicals. This role will contribute to global regulatory submissions, data gap filling, and scientific innovation in predictive toxicology. •Develop and apply in-silico models (QSAR, read-across, SAR) for hazard assessment. •Support in regulatory dossiers using computational toxicology. •Conduct weight-of-evidence assessments and NAM-based strategies. •Identify and address data gaps using predictive tools. •NAMs (New Approach Methodologies) application •Prepare technical reports for regulatory authorities. •Collaborate with regulatory affairs, toxicology, ecotoxicology, and chemistry teams. •Train and mentor team in computational toxicology approaches. •Stay updated on emerging tools and OECD guidance.

ID del proyecto: 40356695