Senior Scientist (m/f/d), Computational Pathology Biomarker Lead (BioPharmaceuticals)
On-site · Munich, Bavaria, Germany
Job Summary
Lead development of AI-enabled computational pathology and multimodal biomarkers to support patient selection and biomarker-driven drug development across BioPharmaceuticals. Collaborate at the interface of biology, data science, and AI to generate actionable insights for clinical decisions, from target validation to clinical implementation. Design and apply computational pathology and AI approaches across diverse tissue types and disease areas; analyze complex, multimodal datasets (e.g., whole-slide imaging, multiplex IHC, immunofluorescence, imaging and blood biomarkers) to develop novel quantitative metrics and biomarker signatures; drive innovation in AI-powered biomarker development; partner with experimental scientists to shape data-generation strategies and ensure high-quality, AI-ready data; contribute to project teams, support analytical and clinical validation for biomarker implementation in clinical studies; ensure compliance with GLP, data integrity, and regulatory standards; communicate findings through presentations, reports, publications, and regulatory documentation.
Required Qualifications
- PhD in Cellular/Molecular Biology, Immunology, Pharmacology, or related field
- Experience at the interface of biology, data science, and AI/computational sciences
- Proven expertise in computational pathology, image analysis, and AI-driven computational approaches
- Hands-on experience with advanced tissue imaging techniques (multiplex IHC, immunofluorescence)
- Strong analytical and problem-solving skills; ability to translate data-driven insights into actionable outcomes for drug development
- Excellent communication skills; ability to convey complex technical concepts to diverse audiences
- Publication track record in computational pathology, AI, or related fields (Desirable)
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