At a Glance
- Tasks: Lead the optimisation and scaling of our biomedical AI data stack.
- Company: Infinity Quest, a pioneering company in biomedical AI.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Join a dynamic team dedicated to advancing biomedical technology.
- Why this job: Make a real impact by bridging complex biomedical data to actionable AI solutions.
- Qualifications: Expertise in RDF, SPARQL, OWL, and Python with hands-on experience in RDF databases.
The predicted salary is between 80000 - 100000 £ per year.
Infinity Quest in the United Kingdom seeks a Knowledge Graph Lead Engineer to evaluate, optimize, and scale our enterprise semantic data stack for biomedical AI applications. You will bridge complex biomedical data to actionable AI, perform health checks on the current stack, refine bio-ontologies, and chart the roadmap for GraphRAG and GenAI platforms.
Strong knowledge of RDF, SPARQL and OWL, with hands-on experience in RDF databases, is required along with Python proficiency.
We think you need these skills to ace Lead Knowledge Graph Engineer | GenAI and RAG for Biomed in Essex
Knowledge Graph Engineering
Semantic Data Stack Optimization
Biomedical AI Applications
RDF
SPARQL
OWL
RDF Databases
