Clinical Data Engineer

ICON; Remote; GBP 60,000 - 80,000; Full time

Job summary

A leading healthcare organization is seeking a Clinical Data Engineer to design and implement data pipelines for a top global pharmaceutical client. In this fully remote role, you will work at the forefront of healthcare data innovation, ensuring robust data delivery and integrity while collaborating with technical teams. Ideal candidates should possess extensive experience in data engineering with proficiency in cloud platforms and data integration technologies, as well as strong programming skills in Python and R.

Benefits

Annual leave entitlements

Health insurance offerings

Competitive retirement planning

Employee Assistance Programme

Flexible country-specific benefits

Qualifications

• 8+ years in data engineering, with 5 years on complex data integration.
• Proficient in Python, R, SQL, and NoSQL databases.
• Experience in deploying data pipelines in cloud environments.

Responsibilities

• Lead design and delivery of data pipelines.
• Develop solutions for data ingestion and delivery.
• Collaborate with users to meet requirements.

Skills

Python

R

SQL

ETL/ELT solutions

Data integrity

GitHub

Cloud computing

Education

Bachelor’s degree in Computer Science or related field

Advanced degree preferred

Tools

AWS

Azure

Snowflake

Amazon Redshift

Job description

Clinical Data Engineer

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.

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.
• Adequately escalate issues to CDE leadership as needed.

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.

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, LifeWorks, offering 24-hour access to a global network of over 80,000 independent specialized 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, subsidized travel passes, health assessments, among others.

Visit our careers site to read more about the benefits ICON offers.

At ICON, inclusion & belonging are fundamental to our culture and values. We’re dedicated to providing an inclusive and accessible environment for all candidates. ICON is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please let us know or submit a request here

Interested in the role, but unsure if you meet all of the requirements? We would encourage you to apply regardless – there’s every chance you’re exactly what we’re looking for here at ICON whether it is for this or other roles.

Are you a current ICON Employee? Please click here to apply