Graph Engineer

February 15

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AI TalentFlow

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AI TalentFlow is transforming how companies find talent by combining cutting-edge AI with expert human insights. Our goal is to connect ambitious professionals with innovative companies that align with their goals and values, ensuring that candidates are not just qualified but also a perfect match for the team dynamics. By focusing on precision matching and streamlined hiring, AI TalentFlow empowers businesses to build high-performing, future-ready teams and fosters meaningful connections between hiring managers and candidates.

AI • Data • Analytics • Product • Agile

2 - 10 employees

🤝 B2B

🎯 Recruitment

📋 Description

• Join our exclusive talent pool and discover opportunities that accelerate your career. • You will play a critical role in helping our clients unlock the power of connected data within the life sciences and healthcare domain. • 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. • This role offers the chance to make a real impact by building innovative solutions that can revolutionize research, drug discovery, and patient care within the life sciences and healthcare industry. • Partner with life sciences and healthcare stakeholders to understand their data needs and identify high-impact use cases for leveraging Neo4j and graph databases. • 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). • 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. • Experience with data modeling techniques for relational and non-relational databases. • Familiarity with SQL querying for potential data extraction from relational databases. • Proficiency in Python or another scripting language for data manipulation and automation. • Familiarity with cloud platforms like AWS, Azure, or GCP for potential Neo4j deployment. • Experience with version control systems like Git for code management and collaboration. • Understanding of life sciences and healthcare terminology, data types, and challenges is a strong plus. • Excellent communication and collaboration skills to work effectively with cross-functional teams. • Strong analytical and problem-solving skills to identify and address complex data challenges. • A passion for learning and staying up-to-date on the latest advancements in Neo4j technology and the life sciences & healthcare industry.