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Role: DATA ARCHITECT
Location: London
Job type: Contract
Contract duration: 4 months
Mandatory skills: Clinical Knowledge Graph (Clinical Intelligence), SPARQL, Graph DB, Python. RDF, Neo4j
Job Description:
- Clinical Knowledge Graph (Clinical Intelligence) Engagement:
- Health Informatics / Clinical Decision Support Systems About the. We are seeking a highly experienced and autonomous Senior Technical Consultant to support ongoing development and continuous improvement of its clinical knowledge graph platform.
- This role involves working closely with the Head of Informatics and cross-functional teams to enhance the technical architecture, streamline processes, and ensure high-quality delivery aligned with customer use cases.
Responsibilities:
- Design, develop, and maintain scalable data pipelines using SPARQL and Python to extract, transform, and load data into graph databases.
- Create and optimize complex SPARQL queries to retrieve and analyze data from graph databases.
- Develop graph-based applications and models to solve real-world problems and extract valuable insights from data.
- Collaborate with data scientists and analysts to understand their data requirements and translate them into effective data pipelines and models.
- Ensure data quality and integrity throughout the data pipeline process.
- Stay up-to-date with the latest advancements in graph databases, data modeling, and programming languages.
Qualifications:
- Bachelor's degree in Computer Science, Data Science, or a related field.
- Proven experience with SPARQL and Python programming languages.
- Strong understanding of graph databases (e.g., RDF, Neo4j, GraphDB).
- Experience with data modeling and schema design.
- Knowledge of data pipeline tools and frameworks (e.g., Apache Airflow, Luigi).
- Excellent problem-solving and analytical skills.
- Ability to work independently and as part of a team. Clinical knowledge
