ICON plc is a world-leading healthcare intelligence and clinical research organization. We’re proud to foster an inclusive environment driving innovation and excellence, and we welcome you to join us on our mission to shape the future of clinical development.
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—powered by healthcare intelligence and driven by innovation. In this client-dedicated position, you’ll work hand-in-hand with a top global pharmaceutical client, becoming a key technical partner shaping the future of their clinical data platform.
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. From building cutting-edge ingestion frameworks to enabling regulatory-ready, real-time insights, 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.
What you will be doing:
- Serve as a technical expert in building data pipelines for the ingestion and delivery of clinical data at the study level, supporting study start-up, conduct, and close-out activities.
- Develop robust data pipelines for integrating heterogeneous data sources.
- Identify, design, and implement scalable data delivery solutions, automating manual processes whenever possible.
- Develop and implement comprehensive data integrity and quality checks throughout the data ingestion process.
- Design and build infrastructure for optimal data extraction, transformation, and loading (ETL/ELT) using cloud platforms such as AWS and Azure.
- Collaborate with downstream users—including statistical programmers, SDTM programmers, analytics, and clinical data programmers—to ensure deliverables meet end-user requirements.
- Appropriately escalate issues to CDE leadership as needed.
What ICON can offer you:
Our success depends on the quality of our people. That’s why we’ve made it a priority to build a diverse culture that rewards high performance and nurtures talent.
In addition to your competitive salary, ICON offers a range of additional benefits. Our benefits are designed to be competitive within each country and are focused on well-being and work life balance opportunities for you and your family.
Our benefits examples include:
- Various annual leave entitlements
- A range of health insurance offerings to suit you and your family’s needs.
- Competitive retirement planning offerings to maximize savings and plan with confidence for the years ahead.
- Global Employee Assistance Programme, TELUS Health, offering 24-hour access to a global network of over 80,000 independent specialised professionals who are there to support you and your family’s well-being.
- Life assurance
- Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidised travel passes, health assessments, among others.
Visit our careers site to read more about the benefits ICON offers.
You are:
- Bachelor’s degree in Computer Science, Statistics, Biostatistics, Mathematics, or a related field; advanced degree preferred.
- 8+ years of experience in data engineering or a related field, with at least 5 years focused on building pipelines for complex, multi-source data integration.
- Extensive experience developing ELT and ETL solutions for data warehouses and data lakes.
- Proficient with Python, R, RShiny, SQL, and NoSQL databases.
- Hands-on cloud experience with AWS, Azure, or GCP.
- Familiarity with GitLab, GitHub, and Jenkins for version control and CI/CD.
- Proven expertise in deploying data pipelines in cloud environments.
- Skilled in setting up and managing data warehouses and data lakes (e.g., Snowflake, Amazon Redshift).
- Efficient in designing, developing, and maintaining scalable data pipelines for large datasets.
- Strong understanding of database concepts, with working knowledge of XML, JSON, and API integrations.
