Senior Principal Scientist, Computational Safety

We are seeking a Senior Principal Scientist, Computational Safety, to provide scientific leadership in in silico safety assessment across drug discovery and development. This role will leverage advanced multi-omics data, systems toxicology and AI/ML approaches to proactively identify safety liabilities, support mechanistic understanding, improve quality target identification, and facilitate risk-based decision-making.

The Senior Principal Scientist will play a key role in developing and delivering integrated computational safety strategies, including AI-enabled foundation model based on multiple omics data, Adverse Outcome Pathways, off-target identification, and predictive liability models. Working closely with toxicologists, discovery scientists, clinical safety, bioinformatics, data science, and IT partners, this position will translate complex computational insights into clear, actionable recommendations that improve pipeline quality and reduce late-stage attrition.

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 is a must
• 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 will be a favorable plus
• Strong collaboration, scientific leadership, and communication skills, with the ability to translate complex computational results into actionable insights for stakeholders with diverse backgrounds

Eligibility Requirements

• Must be legally authorized to work in the United States without restriction
• Must be willing to take a drug test and post-offer physical (if required)
• Must be 18 years of age or older

Compensation

Base salary typically between $140,000 and $222,000. The position may be eligible for a role-specific variable or performance-based bonus and/or other compensation elements.

Boehringer Ingelheim is a biopharmaceutical company active in both human and animal health. As one of the industry's top investors in research and development, the company focuses on developing innovative therapies that can improve and extend lives in areas of high unmet medical need. Independent since its foundation in 1885, Boehringer takes a long-term perspective, embedding sustainability along the entire value chain. Approximately 54,500 employees serve over 130 markets.

Job ID: 34040