Clinical Data Engineer

ICON plc

Multiple Locations
Fully remote
Build data pipelines for clinical data
Integrate heterogeneous data sources
Design scalable data delivery solutions
ICON plc, a leading healthcare intelligence and clinical research organization, is seeking a Clinical Data Engineer to design and deliver data pipelines for clinical trial data. The role is remote, requiring significant experience in data engineering, specifically in building complex data integration systems

Job Summary

  • As Clinical Data Engineer, you’ll step into a fully remote, high-visibility role within the world’s largest and most comprehensive clinical research organization.
  • You’ll lead the design and delivery of next-generation, enterprise-scale data pipelines, and analytics technologies to transform how clinical trial data is ingested, integrated, and analyzed.
  • Your work will sit at the intersection of modern technology and life-changing science—driving faster decisions, smarter trials, and better patient outcomes, all from a 100% remote setting.

Matching Summary

Match Score: 85

ICON plc, a leading healthcare intelligence and clinical research organization, is seeking a Clinical Data Engineer to design and deliver data pipelines for clinical trial data. The role is remote, requiring significant experience in data engineering, specifically in building complex data integration systems.

Skills & Requirements

Must-have

  • build data pipelines for clinical data
  • integrate heterogeneous data sources
  • design scalable data delivery solutions
  • develop data integrity and quality checks
  • design ETL/ELT on cloud platforms
  • collaborate with downstream users
  • deploy data pipelines in cloud environments

Nice-to-have

  • foster an inclusive environment
  • drive innovation and excellence
  • shape the future of clinical development
  • work hand-in-hand with pharmaceutical client

Key Requirements

  • 8+ years of experience in data engineering
  • 5 years focused on multi-source data integration
  • Extensive experience developing ELT and ETL solutions
  • Proficient with Python, R, RShiny, SQL, and NoSQL
  • Hands-on cloud experience with AWS, Azure, or GCP
  • Familiarity with GitLab, GitHub, and Jenkins
  • Skilled in managing data warehouses and data lakes
  • Strong understanding of database concepts
  • Working knowledge of XML, JSON, and API integrations

Work Rights

Not specified

Tailored Resume

Cover Letter