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.ResponsibilitiesDevelop 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.Requirements3–5+ 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 HavePrevious experience scaling knowledge graph solutions;Experience with data pipelines and integration;Understanding of large-scale distributed systems.Our BenefitsProfessional 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.