Amgen
Hyderabad, Telangana, India Posted 2d ago
The GCF6 Agentic AI Lead – Protein Design & Molecular Engineering is a senior scientific and technical leader responsible for defining and driving AI-enabled workflows that accelerate protein engineering, structure prediction, molecular design, and related discovery activities at Amgen.
Key Responsibilities
Develop and maintain a roadmap for AI-enabled capabilities supporting protein engineering, structure prediction, protein design, motif discovery, and molecular optimization.
Design AI-assisted workflows that combine scientific reasoning, foundation models, protein language models, and computational biology tools.
Guide development of multi-agent systems that support complex scientific analyses and discovery workflows.
Serve as the primary interface with research scientists and computational biology teams to translate scientific challenges into AI opportunities.
Guide adoption and evaluation of scientific AI technologies including protein language models and generative protein design approaches.
Partner closely with ML engineers, data engineering teams, and platform teams to drive prioritization and execution of AI initiatives.
Requirements
PhD in Computational Biology, Bioinformatics, Structural Biology, Biophysics, Protein Engineering, Computer Science, or related field.
Experience applying AI and machine learning to molecular or biological discovery problems.
Demonstrated leadership in cross-functional scientific initiatives.
