Amgen Science Fellow - Computational Biology, Ai, And Advanced Computing
Amgen UK
Hybrid
Independent research program
Computational biology
Artificial intelligence
The Amgen Science Fellows program is seeking an exceptional early-career scientist to establish an independent research program at the intersection of drug discovery, computational biology, artificial intelligence, and emerging computational paradigms
Job Summary
The Amgen Science Fellows program is seeking an exceptional early-career scientist to establish an independent research program at the intersection of drug discovery, computational biology, artificial intelligence, and emerging computational paradigms.
The Fellow will have the opportunity to define a forward-looking research agenda that advances computational science as a core driver of next-generation biopharmaceutical R&D.
Science Fellows are given the space, guidance, and resources needed to run their research program.
Matching Summary
The Amgen Science Fellows program is seeking an exceptional early-career scientist to establish an independent research program at the intersection of drug discovery, computational biology, artificial intelligence, and emerging computational paradigms.
Skills & Requirements
Must-have
independent research program
computational biology
artificial intelligence
advanced computing paradigms
drug discovery
machine learning for biological inference
molecular design
Nice-to-have
quantum computing
quantum-inspired approaches
hybrid AI–physics–based modeling
next-generation biopharmaceutical R&D
scientific leadership
cross-disciplinary projects
Key Requirements
Ph.D. in computational or life sciences
research experience in Computational Biology, AI, and Advanced Computing
record of first-author or corresponding-author publications
advanced proficiency in modern machine learning architectures
strong programming skills
experience with large-scale, multimodal biological datasets
familiarity with high-performance computing environments
proven ability to integrate data-driven AI approaches with mechanistic models
background in therapeutic discovery domain
prior exposure to quantum computing or related methods
willingness to prototype and evaluate speculative technologies