Toxicology Scientist - Advanced
Core
Predictive/computational toxicologist applying in silico methods, mechanistic toxicology, and data-driven approaches to support chemical risk assessment and regulatory decision making.
Role type
Senior IC computational toxicologist (regulatory & NAMs)
Builds
Regulatory submissions and risk assessments for global chemical registrations
Domain
Chemical industry + computational toxicology
Deliverable
production ML models | dashboards & analysis
Required skills
QSAR, read-across, TTC, New Approach Methodologies (NAMs), mechanistic toxicology, AOP frameworks, WoE assessments, IATA, regulatory science, data analysis, scientific writing
Preferred skills
Graph Neural Networks, cheminformatics, predictive modelling, Python, R, Power BI, Spotfire, OECD QSAR toolbox, VEGA, Derek Nexus, ToxCast, Tox21, NGRA
Technologies
Python, R, Power BI, Spotfire, OECD QSAR toolbox, VEGA, Derek Nexus, TEST, EPISuite, ToxCast, Tox21
Responsibilities
Design and oversee predictive toxicology assessments using QSAR, read-across, and NAMs; Critically evaluate model outputs and applicability domains; Integrate evidence from in silico predictions, in vitro studies, and literature for WoE assessments; Support global chemical registration programs (EU REACH, TSCA, etc.); Develop read-across and WoE justifications for regulatory submissions
Seniority
Senior, hands-on IC
