At a Glance
- Tasks: Design and deliver innovative data pipelines for clinical research, transforming trial data analysis.
- Company: Join ICON plc, a leading healthcare intelligence and clinical research organisation.
- Benefits: Enjoy competitive salary, health insurance, flexible benefits, and a supportive work-life balance.
- Why this job: Make a real impact in healthcare while working remotely with cutting-edge technology.
- Qualifications: Bachelor's degree in relevant field and extensive experience in data engineering required.
- Other info: Inclusive culture focused on innovation and career growth opportunities.
The predicted salary is between 36000 - 60000 ÂŁ per year.
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.
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.
Clinical Data Engineer in Reading employer: ICON
Contact Detail:
ICON Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Clinical Data Engineer in Reading
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at ICON or similar companies. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your data pipelines and projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to data engineering. Practice explaining your past projects and how they relate to the role at ICON—confidence is key!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the ICON team.
We think you need these skills to ace Clinical Data Engineer in Reading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Clinical Data Engineer role. Highlight your experience with data pipelines, cloud platforms, and any relevant programming skills. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about clinical data engineering and how you can contribute to our mission. Keep it concise but impactful—let us know why you're the perfect fit!
Showcase Your Technical Skills: Don’t forget to showcase your technical expertise in Python, SQL, and cloud technologies like AWS or Azure. We love seeing specific examples of projects you've worked on that demonstrate your skills in building scalable data solutions.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative to apply directly!
How to prepare for a job interview at ICON
✨Know Your Data Engineering Stuff
Make sure you brush up on your data engineering skills, especially around building data pipelines and ETL/ELT processes. Be ready to discuss your experience with Python, SQL, and cloud platforms like AWS or Azure, as these are crucial for the role.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data integration challenges in the past. Highlight any innovative solutions you've implemented to automate processes or improve data quality, as this will demonstrate your ability to think critically and creatively.
✨Understand the Clinical Context
Familiarise yourself with the clinical research landscape and how data plays a role in it. Being able to speak about how your work impacts patient outcomes and clinical trials will show that you understand the bigger picture and are passionate about the field.
✨Ask Insightful Questions
Prepare thoughtful questions to ask during the interview. Inquire about the team dynamics, the technologies they use, or how they measure success in this role. This not only shows your interest but also helps you gauge if the company is the right fit for you.