Neo4j Expert

3 weeks ago

New York, New York, United States AI Talent Flow Full time

We are seeking a skilled Neo4j expert to join our team at AI Talent Flow. As a key member of our team, you will play a critical role in helping our clients unlock the power of connected data within the life sciences and healthcare domain.

Estimated salary: $150,000 - $190,000 per year.

About the Role:

You will leverage your expertise in Neo4j to design, develop, and implement efficient and scalable semantic layers that analyze and integrate vast amounts of data.

Key Responsibilities:

  • Partner with life sciences and healthcare stakeholders to understand their data needs and identify high-impact use cases for leveraging Neo4j and graph databases.
  • Design and develop efficient and scalable data models using Cypher (Neo4j query language) and best practices.
  • Build and maintain robust semantic layers that integrate data from disparate sources within the life sciences and healthcare domains (e.g., clinical trials data, patient records, genomic data).
  • Utilize Neo4j features like APOC libraries and procedures to enhance functionality and performance.
  • Collaborate with data scientists and analysts to prepare data for analysis and visualization within the Neo4j graph.
  • Optimize graph queries for performance and scalability to ensure efficient data retrieval and analysis.
  • Monitor and maintain Neo4j deployments for smooth operation and identify potential issues.
  • Stay up-to-date on the latest advancements in Neo4j technology and best practices within the life sciences and healthcare industry.
  • Document data models and processes for clear communication and knowledge sharing.

Requirements:

  • Extensive experience with Neo4j, including Cypher querying, schema design, data modeling, and performance optimization.
  • Strong understanding of graph database concepts and their application in various use cases.
  • Data Modeling: Experience with data modeling techniques for relational and non-relational databases.
  • Familiarity with cloud platforms like AWS, Azure, or GCP for potential Neo4j deployment.
  • Version Control Systems: Experience with version control systems like Git for code management and collaboration.

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