Senior Scientist – Computational Pathology Part-time

The Position

Join us as a Senior Scientist in Computational Pathology and help shape the future of non-clinical safety science through cutting-edge AI technologies. In this role, you will combine deep scientific expertise with advanced computational approaches to drive innovation in digital pathology and toxicology. Become part of a highly collaborative environment where your contributions directly impact scientific excellence and drug development.

This position has a hybrid setup with approximately 2-3 days per week on site.

This position is part time eligible with 80 %.

Tasks & Responsibilities

• Drive the development and validation of AI-enabled computational pathology solutions, providing expert knowledge for AI model development in non-clinical safety science
• Serve as project owner of a cross-functional project team, providing strategic oversight and direction while contributing to pathology-related scientific decisions
• Ensure compliance with GLP, data integrity requirements, and applicable regulatory standards
• Support the deployment of digital pathology in toxicology, ranging from data visualization to scientific interpretation
• Contribute to innovation in digital pathology workflows through close collaboration with scientific project teams and external partners, ensuring automation and acceleration of processes
• Be responsible for documentation and communication (e.g., project progress summaries, presentations, publications), executing strategic priorities, and providing scientific guidance to co-workers and external partners
• Establish and maintain a strong network with other Boehringer Ingelheim groups, as well as with academia and industry partners in the field of computational pathology

Requirements

• PhD or equivalent degree in biomedical engineering, cellular or molecular biology, biomedical sciences, pharmaceutical sciences, veterinary medicine, or a related field, combined with several years of relevant experience at the interface of data science, pathology, and AI/computational sciences
• Proven expertise in computational pathology, image analysis, and AI-driven computational approaches, ideally within a pharmaceutical environment, particularly in non-clinical safety
• Experience with large-scale AI development for toxicological pathology, especially using unsupervised approaches, is highly advantageous
• Deep understanding of tissue biology and histopathology relevant to non-clinical safety assessment
• Highly motivated team player with excellent communication and leadership skills
• Strong sense of personal responsibility and integrity, with a pronounced commitment to quality
• Fluency in English, both written and spoken; German language skills are a plus