Data Architect – Clinical Knowledge Graph
Posted 7 days ago by Stanley David and Associates
Negotiable
Undetermined
Undetermined
London Area, United Kingdom
Summary: The Data Architect role focuses on enhancing a clinical knowledge graph platform within the health informatics sector. The position requires a highly experienced consultant to design and maintain data pipelines, optimize SPARQL queries, and collaborate with cross-functional teams. The role emphasizes the importance of data quality and integrity while leveraging advanced graph database technologies. Candidates should possess strong technical skills in Python and data modeling, along with clinical knowledge.
Key Responsibilities:
- Design, develop, and maintain scalable data pipelines using SPARQL and Python.
- Create and optimize complex SPARQL queries for data retrieval and analysis.
- Develop graph-based applications and models to solve real-world problems.
- Collaborate with data scientists and analysts to translate data requirements into effective pipelines and models.
- Ensure data quality and integrity throughout the data pipeline process.
- Stay updated with advancements in graph databases, data modeling, and programming languages.
Key Skills:
- 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.
Salary (Rate): undetermined
City: London
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
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