Data Architect - Clinical Knowledge Graph

Summary: Proven Data Architect needed to develop a Clinical Knowledge Graph platform, requiring strong recent experience in this area. The role demands immediate contribution to meet tight deadlines. Candidates should have a background in clinical organizations or clinical software providers.

Key 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 modelling, and programming languages.

Key Skills:

• Strong experience with SPARQL and Python.
• Proficiency in designing and maintaining data pipelines.
• Experience with graph databases.
• Ability to create and optimize SPARQL queries.
• Collaboration skills with data scientists and analysts.
• Knowledge of data quality and integrity practices.
• Familiarity with advancements in graph databases and data modelling.

Salary (Rate): undetermined

City: undetermined

Country: UK

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Data Architect - Clinical Knowledge Graph

Proven Data Architect required to create the technical architecture, and development of a new Clinical Knowledge Graph platform for the organisation. Suited candidates will need to hit the ground running and deliver this project with tight deadlines, so strong recent Clinical Knowledge Graph experience is required.

Key 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 modelling, and programming languages.

The ideal candidate will have recently completed a similar Data Architect role for a Clinic organization, or a Clinical software provider.

Minorities, women, LGBTQ+ candidates, and individuals with disabilities are encouraged to apply.

Interviews will take place this week, so please apply immediately to be considered for this exciting contract opportunity or call Bangura Solutions to discuss this role further.