Senior Scientist, Computational Safety

Duties & Responsibilities

• Lead the development, implementation, and application of advanced AI/ML models, including agentic AI workflows, to support predictive toxicity and safety liability assessment for projects and portfolios.
• Design and execute integrative computational strategies that combine multi-modal toxicological and biological data (e.g., omics, genetics, literature, RWD, competitive intelligence) to generate robust, interpretable safety insights.
• Support computational safety risk assessment by providing early, data-driven evaluations of potential toxicological liabilities to inform target selection, and program advancement decisions.
• Collaborate closely and effectively communicate with Toxicology, Discovery, Bioinformatics, Data Science, and IT teams to ensure alignment of computational approaches with biological context, technical infrastructure, and project needs.

Requirements

• Master’s degree with 6 + years of relevant experience or Ph.D. with 1-3 years of applicable industry or post-doctoral experience in Computational Toxicology, Computational Biology, Bioinformatics, Molecular Biology
• At least 2 years in safety risk assessment
• Expertise in multi omics and toxicogenomic, data integration, and predictive safety assessment
• Familiarity with major large language models (LLMs), with hands-on experience in Unix-based systems and cloud computing environments
• Experience applying AI driven reasoning model to integrate multi omics, literature, and safety data
• Strong communication skills with the ability to translate complex AI and computational outputs into actionable insights
• Proven ability to collaborate effectively across toxicology, discovery, data science, and IT teams