EDC Engineer

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October 10

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ICON plc

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Pharmaceuticals • Biotechnology • Healthcare Insurance

ICON plc is a global provider of clinical, consulting, and commercial services across various sectors in the healthcare and pharmaceutical industries. They offer a wide range of clinical solutions, including decentralised clinical trials, cardiac safety solutions, early clinical laboratories, and medical imaging. ICON also provides technology solutions that support drug development from early phases to post-marketing. Their therapeutic expertise spans cardiovascular, oncology, internal medicine, and more, with a strong focus on transformative therapies like cell and gene therapies and biosimilars. ICON is recognized as a leading Contract Research Organisation (CRO), regularly providing thought leadership and contributing to industry publications and events. Their services are tailored to optimize clinical trials, offer regulatory intelligence, and deliver real-world evidence through robust data analysis and patient-centric solutions.

10,000+ employees

Founded 1990

💊 Pharmaceuticals

🧬 Biotechnology

⚕️ Healthcare Insurance

📋 Description

• 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

🎯 Requirements

• 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.

🏖️ Benefits

• 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