Executive Director, Computational Immunology Discovery

Boehringer Ingelheim; Ridgefield (CT); Presencial; USD 262.000 - 394.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical, dental, and vision coverage

Retirement savings opportunities

Relocation assistance

Descripción de la vacante

Boehringer Ingelheim is seeking an Executive Director of Computational Biology Immunology & Respiratory NTC Discovery to lead the global Inflammation NTC discovery portfolio. The role drives cross-functional strategy, internal innovation, and external partnerships to advance AI-based drug discovery and evidence generation across disease areas.

The successful candidate will build and mentor a high-performing computational biologists team, shape organizational structure, and partner with senior

Formación

• Ph.D. required in Computational Biology, Bioinformatics, CS, Data Science, or related field.
• Twelve+ years in computational biology within biopharma, with Immunology/Inflammatory disease knowledge.
• Five+ years in strategic leadership, global team management, and cross-functional influence.

Responsabilidades

• Define multi-year computational NTC discovery strategy to improve PoS.
• Deliver in silico evidence packages, tools, and data-driven insights for portfolio projects.
• Manage timelines and budgets to ensure timely, cost-effective results.
• Advise senior R&D leadership as the computational science expert.

Conocimientos

Strategic leadership

Global team management

Cross-functional collaboration

Excellent communication

Mentoring

Budget management

Educación

Ph.D. in Computational Biology or related field

Herramientas

AI/ML frameworks

Descripción del empleo

Boehringer Ingelheim is seeking an Executive Director of Computational Biology Immunology & Respiratory NTC Discovery to lead the global Inflammation NTC discovery portfolio. The role drives cross-functional strategy, internal innovation, and external partnerships to advance AI-based drug discovery and evidence generation across disease areas.

The successful candidate will build and mentor a high-performing computational biologists team, shape organizational structure, and partner with senior