Career Category
Research
Job Description
Position Overview
The GCF6 Agentic AI Lead – Disease Biology & Target Discovery is a senior scientific and technical leader responsible for developing AI-enabled approaches that accelerate disease understanding, target identification, mechanism-of-action analysis, and translational research.
This role combines expertise in disease biology and biomedical research with knowledge of contemporary AI technologies, including knowledge graphs, foundation models, retrieval systems, and agentic AI architectures.
The leader works closely with scientists and ML engineers to design intelligent workflows that integrate biological knowledge, data, literature, and computational models to support decision-making across the discovery process.
This role serves as the primary scientific lead for AI applications in disease biology and target discovery.
Core Responsibilities
Scientific AI Strategy
Develop and execute a roadmap for AI-enabled capabilities supporting:
- Disease biology research
- Target identification and prioritization
- Mechanistic biology
Identify opportunities where AI can improve scientific reasoning, evidence integration, and discovery productivity.
Knowledge-Driven AI Systems
Lead development of AI solutions that leverage:
- Knowledge graphs
- Biomedical ontologies
- Scientific literature
- Internal research data
- External biological databases
Define approaches for integrating structured and unstructured knowledge into AI-assisted scientific workflows.