Agentic AI Lead – Disease Biology & Target Discovery
Tasks
- Collaborate with scientists and ML engineers for AI delivery
- Define AI strategies for target identification and prioritization
- Design agentic workflows for scientific reasoning
- Develop AI roadmap for disease biology
- Enable literature synthesis and evidence generation
- Evaluate graph based machine learning approaches
- Generate hypotheses with multi agent collaboration
- Integrate structured and unstructured biological knowledge
- Lead knowledge graph driven AI solutions
- Provide scientific oversight for biologically meaningful outputs
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | Biomedical Ontologies | Evidence synthesis | Foundation Models | Graph Neural Networks | Graph RAG | Hypothesis generation | Information Retrieval | Knowledge graphs | Language Processing | Machine Learning | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | Neural Networks | Scientific Reasoning
Education
Roles
AI | AI Engineer | Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Scientist
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