Senior Programmer, EDC Systems
Position Purpose: The Senior EDC Programmer focuses on governance, review, and validation of deliverables to ensure alignment with CSL standards, regulatory requirements, and industry best practices. The incumbent applies strong expertise in leading and overseeing set-up and maintenance of Clinical Data Management Systems in addition to providing technical support. This individual supports cross-functional teams such as Statistics, Data Management and Standards by overseeing and ensuring the quality of clinical data build and programming activities across in-house, hybrid, and vendor-supported studies. The role will contribute to shaping future-state data capabilities by supporting initiatives around scalabledata platforms and AI-driven automation, enabling more efficient and intelligent use of clinical data.Reporting Relationships: This role reports to the Director, Statistical Programming LeadWork Environment: *** On site / Hybrid at CSL Behring requires a minimum of 3 days in the designated work location office weekly for this role. Relocation and mobility assistance is not provided.Main Responsibilities and Accountabilities:Drive activities related to the design, development, and maintenance of clinical study databases by applying advanced technical expertise in: CRF design; database build; edit check programming; report development; custom programming; system interface configuration; and the implementation of all relevant systems features to support high-quality, compliant clinical data management.Collaborate with clinical study teams, Standards (CDASH/SDTM,CSL), and cross-functional stakeholders to define, implement, and continuously enhance data quality methods, acceptance criteria, and validation rules for eCRF and external data sources across all study modelsOversee the implementation and maintenance of data quality control frameworks, including validation check libraries and acceptance criteria for vendor and internally generated data, ensuring alignment with CSL standards and regulatory expectationsGovern and maintain a standardized library of reports and listings to support study teams, ensuring consistency, reusability, and efficiency across in-house, hybrid, and vendor-supported studiesOversee the setup, automation, and monitoring of recurring data quality and operational reports across different models (in-house vs outsourced etc.)a ensuring accuracy, completeness, and timely availability of outputsPartner with Data Management, Statistics, and vendors to review and validate clinical data deliverables, ensuring submission readiness in accordance with regulatory standards (e.g., SDTM, define.xml)Lead the reporting solutions that provide insights into data quality, study progress, and key metrics to support informed decision-makingEnsure appropriate data structures, storage, and integration approaches that enable pooled analyses, traceability, and efficient retrieval of both current and legacy clinical dataSupport the integra...