Associate Director (m/f/d), Computational Pathology Biomarker Lead (Oncology/BioPharma)

In this role you will drive AI-enabled computational pathology and multimodal biomarker programs to influence patient selection and translational decisions across Oncology and BioPharma. You will lead cross-functional teams to translate data-driven insights into clinical impact, guiding biomarker strategies from target validation through clinical development. You will shape innovative approaches, integrating imaging, omics, and clinical data to inform drug development at enterprise scale. Join a science-led company that values collaboration and real-world impact.

• Individual development opportunities with lifelong learning
• Modern office space in Munich
• Diverse and inclusive work environment
• Collaborative, fast-paced team culture
• Opportunities to shape projects and impact portfolio
• Global cross-portfolio collaboration

• Provide scientific leadership for AI-powered computational pathology and multimodal biomarker development across Oncology and/or BioPharmaceuticals
• Partner with cross-functional teams to implement biomarker strategies enabling clinical implementation
• Design and execute proof-of-concept studies integrating imaging, genomics, proteomics, and clinical data
• Lead cross-functional biomarker discovery activities with pathologists, data scientists, biologists, clinicians, and program teams
• Contribute to innovation in AI-enabled biomarker development through quantitative image-based biomarkers and multimodal data
• Support development of reusable biomarker approaches and platform capabilities across programs and modalities
• Contribute to analytical and clinical validation strategies for multimodal biomarkers supporting regulatory submissions
• Evaluate emerging technologies and AI methodologies to advance computational pathology capabilities
• Represent Computational Pathology in internal and external scientific interactions and collaborations

• PhD in Biological Sciences, Computational Biology, Bioinformatics, Data Science, Computer Science, or related discipline
• Significant experience in pharma/biotech translational research with biomarker discovery and implementation
• Demonstrated leadership of biomarker strategies in complex matrix organizations
• Strong expertise in computational pathology, image analysis, and AI-enabled biomarker development
• Solid understanding of oncology/bioPharma biology, including mechanisms of response and resistance
• Experience integrating diverse data modalities to generate translational insights
• Strong analytical and quantitative skills connecting computations to clinical outcomes
• Working knowledge of AI/ML methods for biomarker discovery (supervised learning, multimodal approaches)
• Understanding of biomarker development pathways, trial design, and translational strategies
• Strong communication and influencing skills to engage scientific/clinical stakeholders
• Ability to balance scientific innovation with pragmatic execution in fast-paced settings

• Strong communication and influencing abilities
• Cross-functional collaboration and stakeholder management
• Strategic thinking with pragmatic execution
• Computational pathology
• AI-enabled biomarker development
• Image analysis and quantitative pathology