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Job Description:
As a Senior Statistical Programmer , the role is vital to the design, development, and validation of bespoke statistical and data management systems that support global life sciences and clinical research projects. The role spans the full software lifecycle – from requirements gathering and feasibility assessment to coding, testing, documentation, and support – and focuses heavily on real-world data analytics, regulatory submission deliverables, and scalable architecture.
Key Responsibilities:
Analyse existing software systems and identify modifications or new developments required to meet evolving business and regulatory needs.
Conduct feasibility assessments to determine optimal technical solutions for complex data programming challenges.
Design and write custom SAS and R programs in alignment with CDISC standards (SDTM/ADaM) to support clinical trial data analysis and submission.
Develop interactive visualizations and reporting interfaces for clients using dashboards and statistical outputs.
Create and implement code for specialist applications such as automated data pipelines, AI-based decision support tools, and submission-ready datasets.
Build and maintain clinical databases and ensure integrity through planned schema management and indexing.
Carry out rigorous testing and debugging of software programs, ensuring compliance with internal QA protocols and international regulatory standards (e.g. FDA/EMA).
Document processes, write user guides, and support end-user training to ensure smooth system adoption and long-term usability.
Collaborate with project managers, statisticians, and software engineers to deliver validated outputs within project timelines.
Evaluate and continuously improve internal tools, data workflows, and efficiency in handling multi-site studies.
Lead code reviews, mentor junior programmers, and manage version control using platforms such as Git and JIRA.
Provide ongoing support and enhancements post-deployment, incorporating feedback and performance analysis.
Required Technologies and Tools:
SAS/Base, SAS/Macro, SAS/Graph, SAS/Stat
R or Python (for advanced statistical analysis and scripting)
CDISC Standards (SDTM, ADaM), Define.XML
Relational database systems (SQL, PostgreSQL)
Git, JIRA, Confluence, or similar collaboration tools
Optional: Experience in 3D data representation or data gamification techniques (aligning with specialist programming competencies)
Education & Experience:
Bachelor’s or Master’s degree in Statistics, Computer Science, Life Sciences, or related fields
5+ years’ experience in statistical programming, preferably within a CRO or regulated healthcare environment
Demonstrated experience designing and deploying analytical solutions in compliance with international data standards
