Clinical Data Engineer – ICON plc
Locations: Bangalore, Chennai, Bengaluru, India
Job ID: JR136629
Department: Strategic Solutions – Clinical Data Science & Programming
Work Mode: Office-Based
About ICON plc
ICON plc is a global leader in healthcare intelligence and clinical research, committed to delivering innovative solutions that advance clinical development and patient care. Our inclusive and collaborative culture drives scientific excellence and technological innovation, empowering employees to shape the future of clinical research worldwide.
Role Overview
ICON is seeking a Senior Lead Clinical Data Science Programmer / Clinical Data Engineer to join its Strategic Solutions team. In this role, you will lead the development and implementation of advanced data science solutions, ensuring the integrity and quality of clinical trial data. You will oversee data pipeline design, cloud-based ETL/ELT development, and data integration across multiple platforms, supporting efficient and compliant clinical research operations.
This position is ideal for candidates with strong programming, cloud, and database expertise, and prior experience in clinical data engineering or programming in a regulated environment.
Key Responsibilities
Lead design, development, and deployment of data pipelines for ingestion and delivery of clinical trial data.
Develop scalable ETL/ELT solutions integrating heterogeneous data sources and automating manual processes.
Implement robust data integrity, validation, and quality checks throughout the data ingestion lifecycle.
Design and maintain data warehouses and data lakes (Snowflake, Amazon Redshift) for optimal storage and retrieval.
Collaborate with statistical programmers, SDTM programmers, analytics, and clinical data teams to meet deliverable requirements.
Provide guidance on cloud-based data architectures (AWS, Azure, GCP) and version control / CI-CD practices (GitLab, GitHub, Jenkins).
Escalate critical issues and contribute to continuous improvement initiatives in clinical data engineering workflows.
Required Qualifications & Experience
Bachelor’s or Master’s degree in Computer Science, Data Science, Bioinformatics, or related field.
5+ years of experience in clinical data engineering, programming, or related fields.
Proven expertise in ETL/ELT design, data pipeline development, and cloud data platforms (AWS, Azure, GCP).
Strong programming skills in Python, R, RShiny, SQL, and familiarity with NoSQL databases.
Hands-on experience with data warehouse and data lake management (Snowflake, Amazon Redshift).
Familiarity with version control systems (GitLab, GitHub) and CI/CD frameworks (Jenkins).
Solid understanding of database concepts, API integrations, and structured/unstructured data formats (XML, JSON).
Ability to work collaboratively in a cross-functional, regulated environment with attention to data quality and compliance.
Preferred Skills
Experience in clinical trials, clinical data programming, or regulated life sciences projects.
Knowledge of cloud orchestration, workflow automation, and data visualization tools.
Familiarity with regulatory compliance standards and clinical trial data reporting requirements.
What ICON Offers
ICON is committed to a culture of inclusion, professional growth, and well-being. Employees benefit from competitive packages and global programs to support career development and work-life balance, including:
Competitive salary and annual leave entitlements.
Comprehensive health insurance and wellness programs for employees and families.
Retirement planning options to maximize long-term financial security.
Access to LifeWorks, our 24/7 Global Employee Assistance Programme.
Life assurance and flexible, location-specific benefits including childcare, gym memberships, travel subsidies, and health assessments.
Gujarat :
Ahmedabad | Ankleshwar | Baroda | Bharuch | Gandhinagar | Gujarat | Halol | Jhagadia | Mehsana | surat | Tarasadi | Vadodara | Vapi |Maharashtra :
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England | Harlow | Leeds | London | Maidenhead | Salt Lake City | Stevenage | Stirling | United Kingdom |North Yorkshire :
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