Senior Principal Scientist, Computational Safety & AI

BioCT Innovation Commons; Ridgefield, Northern (CT, KY); Hybrid; USD 140,000 - 269,000; Full time

Job summary

Boehringer Ingelheim is seeking a Senior Principal/Principal Scientist, Computational Safety, to provide scientific leadership in in silico safety assessment across drug discovery and development. The role leverages multi-omics data, systems toxicology, and AI/ML to identify liabilities and support mechanistic understanding while guiding risk-based decisions.

The incumbent will develop integrated computational safety strategies, including foundation-model based on multiple omics data, AoP

Qualifications

• Ph.D. in Computational Toxicology, Computational Biology, Bioinformatics, Molecular Biology, or related field.
• Strong collaboration, scientific leadership, and communication skills.
• Expertise in computational toxicology, AI/ML modeling, and multi-omics data integration.
• Experience with in silico safety, liability prediction, and mechanistic modeling.

Responsibilities

• Lead and/or generate 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 development to support mechanistic risk assessment.
• Proactively identify and communicate on target and off-target safety risks.
• Collaborate with Toxicology, Discovery, Clinical Safety, Bioinformatics, Data Science, and IT teams.
• Bridge and clearly communicate complex computational insights to multidisciplinary stakeholders.

Skills

AI/ML modeling

Multi-omics data integration

Collaboration & leadership

Communication skills

In silico safety

Education

Ph.D. in Computational Toxicology/Computational Biology/Bioinformatics

Job description

Boehringer Ingelheim is seeking a Senior Principal/Principal Scientist, Computational Safety, to provide scientific leadership in in silico safety assessment across drug discovery and development. The role leverages multi-omics data, systems toxicology, and AI/ML to identify liabilities and support mechanistic understanding while guiding risk-based decisions.

The incumbent will develop integrated computational safety strategies, including foundation-model based on multiple omics data, AoP