Senior Clinical Data Programmer

Roles & Responsibilities

Programming & Data Engineering
• Design, develop, and maintain complex clinical data programs ensuring data accuracy and integrity
• Develop advanced programs for clinical trial outputs, reports, and regulatory submissions
• Create automation solutions to improve efficiency and reduce repetitive programming work
• Perform code reviews and ensure adherence to programming best practices
• Identify, analyze, and resolve complex database and data flow issues
• Support eCRF setup and clinical data configuration when required

Data Quality & Compliance
• Ensure high standards of data accuracy, consistency, and reliability
• Perform detailed data analysis to identify discrepancies, trends, and risks
• Validate datasets for regulatory submission and business use
• Ensure compliance with internal SOPs, ICH-GCP, and global regulatory standards
• Support audit-ready data practices

Data Management & Governance
• Enforce data governance and data security principles
• Ensure efficient collection, storage, and processing of clinical trial data
• Maintain compliance with regulatory and organizational data standards

Reporting & Business Support
• Generate operational and business reports for internal stakeholders
• Translate complex clinical datasets into meaningful insights
• Independently identify data gaps, trends, and improvement opportunities

Documentation
• Review export requirement specifications and client documentation
• Prepare and maintain technical documentation, IQ documents, and execution guides
• Ensure proper programming and validation documentation is maintained

Qualification

• Bachelor’s degree in Science, Engineering, Computing, Mathematics, or a related discipline
• Equivalent relevant industry experience may be considered

Experience

• Significant experience as a Senior Clinical Data Programmer or in a similar role
• Hands-on experience working with clinical trial data systems and workflows

Skills

• Strong expertise in PL/SQL (mandatory)
• Advanced knowledge of SAS (Macros, PROC SQL)
• Working knowledge of CDISC standards – CDASH, SDTM, ADaM
• Exposure to R or JavaScript is an added advantage
• Familiarity with Big Data technologies is a plus
• In-depth understanding of ICH-GCP, regulatory guidelines, and SOPs
• Strong analytical, problem-solving, and communication skills
• Ability to work independently in a fast-paced, matrixed clinical research environment

About the Organisation

Perceptive is a leading healthcare and clinical research technology organization that delivers advanced data and imaging solutions to support global clinical trials. With a strong focus on innovation, regulatory compliance, and data integrity, Perceptive partners with biopharmaceutical companies worldwide to accelerate drug development and improve patient outcomes through technology-driven clinical research solutions.