KG Scale Engineer

We are looking for a Knowledge Graph Scale Engineer to join the R&D team of a pharmaceutical company based in the northeastern US. The team focuses on testing drug candidates for clinical trials and evaluating potential acquisitions.

Responsibilities:

• Develop and maintain APIs for interacting with the knowledge graph;

• Write and optimize queries in Neo4j Cypher;

• Work with Python code that interacts with the knowledge graph;

• Use Jupyter notebooks for development, testing, and data analysis;

• Collaborate with DevOps teams to deploy and scale KG solutions in AWS VPC/Bedrock environments;

• Ensure performance, reliability, and scalability of knowledge graph solutions.

Requirements:

• 5+ years of experience in software development, with a focus on data-intensive applications;

• Strong experience with Neo4j and writing efficient Cypher queries;

• Proficient in Python, including libraries for data handling and API development;

• Familiarity with API design and development;

• Experience with DevOps practices and cloud environments, preferably AWS;

• Comfortable working with Jupyter notebooks for development and experimentation;

• Strong problem-solving skills and ability to work in a fast-paced, remote environment.

Nice to Have:

• Previous experience scaling knowledge graph solutions;

• Experience with data pipelines and integration;

• Understanding of large-scale distributed systems.

Our benefits:

• Professional and career growth promotion;
• Competitive salary;
• Paid vacations and sick leaves;
• Internal Medical Program;
• Program for veterans (which includes mentorship, an accessible office for individuals with disabilities, legal support, and additional benefits);
• Flexible working hours;
• Regular corporate social activities;
• Regular technical training at our office;
• English courses;
• Gym, etc.