Senior Principal, Scientist, Computational Sa

Duties & Responsibilities

• Lead in silico target safety assessment strategy development
• Develop and deliver integrated computational safety packages to support program and portfolio decisions
• Advance AI/ML and multi omics–based models, including foundation models, for safety and liability prediction
• Drive AI enabled Adverse Outcome Pathway (AoP) development to support mechanistic risk assessment
• Proactively identify and communicate on target and off target safety risks
• Collaborate closely with Toxicology, Discovery, Clinical Safety, Bioinformatics, Data Science, and IT teams
• Serve as a bridge and clearly communicate complex computational insights to multidisciplinary stakeholders

Requirements

• Ph.D. in Computational Toxicology, Computational Biology, Bioinformatics, Molecular Biology, or related field with minimum 7+ years of post doctoral and/or industry experience in drug discovery and development and ≥3 years of experience in safety risk assessment
• Expertise in computational toxicology, AI/ML modeling, and multi omics (TGx) data integration
• Experience with in silico safety, liability prediction, and mechanistic modeling
• Familiar with toxicology related data curation, and interpretation, and knowledge of GLP toxicology and regulatory guidance
• Strong collaboration, scientific leadership, and communication skills, with the ability to translate complex computational results into actionable insights for stakeholders with diverse backgrounds