Director/Executive Director, Computational Safety

We are seeking a visionary leader to build and lead our Computational Safety team, shaping strategy and delivering impactful solutions across therapeutic portfolios. This role will lead a team of computational biologists and toxicologists, driving innovation in predictive safety assessment and enabling data-driven decision-making using modern computational approaches, including Artificial Intelligence/Machine Learning and integrative analysis of large-scale human and multimodal data. The Director/ Executive Director of Computational Safety will play a critical role in leveraging advanced analytics to ensure drug candidates have favorable safety profiles, ultimately increasing the probability of clinical success.

As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development, and delivery of our products to our patients and customers. Our global presence provides opportunities for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies' success. We realize that our strength and competitive advantage lie with our people. We support our employees in several ways to foster a healthy working environment, meaningful work, mobility, networking, and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim's high regard for our employees.

*** Candidate will be hired at level commensurate with experience and education****

Duties & Responsibilities

• Strategic Leadership: Define and implement the computational safety strategy in alignment with broader Computational Innovation objectives in the Innovation Unit (IU). Provide long-term vision and oversee cross-functional integration with Research, Clinical Pharmacology, Safety, and IT.
• Impact Delivery: Lead the development of AI models and computational tools to generate data-driven insights and deliver in silico safety reports for portfolio projects. Manage project timelines and budgets for timely, cost-effective results.
• Innovation: Stay at the forefront of computational safety advancements across industry, collaborate with academic partners, and integrate new technologies and approaches into our drug discovery and development processes.
• Cross-functional Collaboration: Collaborate with other Computational Innovation teams (Computational Biology, Human Genetics, Data Excellence, AI/ML) and with partner functions to deliver computational solutions that impact projects. Build and maintain strategic relationships across the organizations.
• Team Management & Development: Build, mentor, and lead a high-performing team. Represent the organization externally and influence global governance.

Requirements

Director Level

• Ph.D. degree in Computational Biology/Chemistry/Toxicology, Bioinformatics, Computer Science, Data Science, or a related scientific field.

• Eight-plus (8 ) years of experience in computational drug safety in a pharmaceutical company, with deep knowledge of toxicology, pharmacology, and the role of safety and computation in the drug discovery and development process.

• Three-plus (3 ) years of experience in line management responsibilities and demonstrated matrix leadership in a global organization.
  

Executive Director Level

• Ph.D. degree in Computational Biology/Chemistry/Toxicology, Bioinformatics, Computer Science, Data Science, or a related scientific field required.

• Fifteen-plus (15 ) years of experience in computational drug safety in a pharmaceutical company, with deep knowledge of toxicology, pharmacology, and the role of safety and computation in the drug discovery and development process.

• Five-plus (5 ) years of experience in strategic leadership, global team management, and cross-functional influence.
  

Both Levels

• Experience managing budgets, outsourcing, and cross-site operations.

• Demonstrated track record of translating computational innovation, e.g., AI/ML methods, predictive modeling, multi-omics data analysis, and effective use of public/commercial data sources into tangible decisions and impacts in drug portfolio projects.

• Proven ability to deliver scalable, high-impact insights and tools that shape decision-making.

• Respected contributor to strategic conversations, even without formal team leadership.

• Demonstrated track record of initiating, building, and scaling ideas across silos.
  

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.

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