Senior Multimodal AI Scientist – Computational Radiology
Core
Develop computational biomarkers and predictive models by integrating radiology imaging with clinical, molecular, and other biomedical data to support oncology drug development.
Role type
Senior IC multimodal AI scientist (computational radiology)
Builds
Computational biomarkers and predictive models for AstraZeneca's oncology pipeline
Domain
Biopharma / Oncology / Computational Radiology
Deliverable
production ML models
Required skills
Deep learning, foundational models, statistical modeling, causal inference, representation learning, graph theory, Monte-Carlo sampling, computer vision, applied mathematics
Preferred skills
Medical imaging, computational pathology, genomics, clinical data science, statistical learning for high-dimensional data
Technologies
Python, R
Responsibilities
Design and validate computational pipelines for multimodal data; develop ML approaches to identify patient subgroups and predict outcomes; implement frameworks integrating imaging with clinical/molecular data; research explainable computational methods; present findings at conferences and in journals.
Seniority
Senior, hands-on IC
