Senior Scientist (m/f/d), Computational Pathology Biomarker Lead (biopharmaceuticals)
AstraZeneca
Munich, Germany
Phd in cellular/molecular biology or related field
Expertise in computational pathology and image analysis
Experience with ai-driven computational approaches
This role drives the development of AI-enabled computational pathology and multimodal biomarkers to support patient selection across the BioPharmaceuticals portfolio
Job Summary
This role drives the development of AI-enabled computational pathology and multimodal biomarkers to support patient selection across the BioPharmaceuticals portfolio.
The successful candidate will collaborate with cross-functional teams to generate actionable insights from target validation through clinical implementation.
AstraZeneca offers a diverse, inclusive work environment with opportunities for individual development and modern office space in Munich.
Matching Summary
This role drives the development of AI-enabled computational pathology and multimodal biomarkers to support patient selection across the BioPharmaceuticals portfolio.
Skills & Requirements
Must-have
PhD in Cellular/Molecular Biology or related field
Expertise in computational pathology and image analysis
Experience with AI-driven computational approaches
Analysis of complex multimodal datasets
Deep understanding of tissue biology and histopathology
Nice-to-have
Publication track record in computational pathology
Understanding of clinical trial design and regulatory requirements
Hands-on experience applying machine learning to image analysis
Formal training in bioinformatics or data science
Experience in translational medicine or biomarker development
Key Requirements
PhD in Cellular/Molecular Biology, Immunology, Pharmacology, or related field
Proven expertise in computational pathology and AI-driven approaches
Strong analytical skills with ability to develop AI-driven solutions
Excellent communication skills for conveying complex technical concepts