Graph Engineer - Chicago, IL - Onsite

Gandiva Insights
  • Chicago, IL
  • Instant Apply
1 day ago

Job Description

Job Title: Graph Engineer (Neo4j, Python, Cloud)

Location: Chicago, IL - Onsite 5 Days


Experience: 3 4 Years

Job Description:

We are looking for a Graph Engineer with hands-on experience in Neo4j, Python, and cloud technologies to build and maintain knowledge graphs supporting pharmaceutical research and clinical documentation.

Required Skills:

  • 3 4 years of experience with Neo4j or other graph databases.

  • Strong Python skills for ETL pipelines, data processing, and API development.

  • Experience with Cypher queries, graph schema design, and performance tuning.

  • Working knowledge of AWS, Azure, or GCP.

  • Understanding of data modeling, Git, and CI/CD basics.

  • Bachelor's degree in Computer Science, Data Engineering, Bioinformatics, or a related field.

Preferred Skills:

  • Pharma or life sciences domain experience.

  • Knowledge of FHIR, CDISC, UMLS, or MeSH.

  • Experience with NLP, entity extraction, RDF, or SPARQL.

Key Responsibilities:

  • Design and develop graph data models using Neo4j.

  • Build Python-based ETL pipelines to integrate structured and unstructured data.

  • Develop and optimize Cypher queries and APIs.

  • Deploy and maintain graph databases on cloud platforms.

  • Ensure data quality, security, and compliance with pharma industry standards.

  • Collaborate with data scientists and R&D teams to support knowledge discovery.

Numbers & Facts

LocationChicago, IL

Skills

  • Amazon Web Services (AWS)unmatched
  • Application Programming Interface (API)unmatched
  • Bioinformaticsunmatched
  • Biologyunmatched
  • Biotech and Pharmaceuticalunmatched
  • Clinical Data Interchange Standards Consortium (CDISC)unmatched
  • Clinical Researchunmatched
  • Clinical Study Publicationsunmatched
  • Cloud Computingunmatched
  • Computer Scienceunmatched
  • Continuous Deployment/Deliveryunmatched
  • Continuous Integrationunmatched
  • Create Graphsunmatched
  • Data Modelingunmatched
  • Data Processingunmatched
  • Data Qualityunmatched
  • Data Scienceunmatched
  • Database Administrationunmatched
  • Database Designunmatched
  • Database Extract Transform and Load (ETL)unmatched
  • GCP (Good Clinical Practices)unmatched
  • Gitunmatched
  • Graph Database Data Formatunmatched
  • Industry Standardsunmatched
  • Information/Data Security (InfoSec)unmatched
  • Medical Subject Headings (MeSH)unmatched
  • Microsoft Windows Azureunmatched
  • Neo4junmatched
  • Performance Tuning/Optimizationunmatched
  • Python Programming/Scripting Languageunmatched
  • Query Optimizationunmatched
  • Research & Development (R&D)unmatched
  • Structured Dataunmatched
  • Unstructured Dataunmatched

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