At a Glance
- Tasks: Evaluate and optimise enterprise semantic data infrastructure for biomedical applications.
- Company: Leading tech firm in the biomedical sector, based in London.
- Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
- Other info: Dynamic role with potential for significant impact in the industry.
- Why this job: Join a pioneering team and make a difference in AI-driven healthcare solutions.
- Qualifications: Experience in knowledge graphs and strong analytical skills required.
The predicted salary is between 70000 - 90000 £ per year.
Location: London, Hybrid
Type of employment: Inside IR35 contract
Role Overview - We are seeking a Knowledge Graph Lead Engineer to evaluate, optimize, and scale our enterprise semantic data infrastructure. In this role, you will bridge the gap between complex biomedical data and actionable AI applications. You will conduct comprehensive health checks on our current stack, refine bio-ontologies.
We think you need these skills to ace Lead Knowledge Graph Engineer in London
SQL
Python
Problem-Solving Skills
API Integration
Data Engineering
Communication Skills
Data Governance
