Description
As a Senior Statistical Programmer II, you will play a key role in delivering statistical programming activities across clinical studies, supporting analysis, reporting, and regulatory submissions.
You will work independently on complex programming tasks while contributing to study-level leadership and mentoring less experienced programmers.
This role offers exposure to a broad range of therapeutic areas and study phases, with opportunities across traditional clinical development, oncology, and real-world evidence programmes.
Responsibilities
- Develop, validate, and maintain complex SAS and R programs for clinical trial analysis and reporting
- Lead statistical programming activities for assigned studies, ensuring high-quality and timely delivery
- Create and review ADaM datasets, Tables, Listings and Figures (TLFs), and associated programming specifications
- Collaborate with statisticians, data managers, and cross-functional study teams to deliver regulatory-compliant outputs
- Support submission activities including Define.xml and other regulatory deliverables
- Ensure programming deliverables comply with CDISC standards, ICH-GCP guidelines, and sponsor requirements
- Perform quality reviews and contribute to programming standards and process improvements
- Provide technical guidance and mentorship to junior programmers
- Contribute to study-level planning, issue resolution, and continuous improvement initiatives
Requirements
- Bachelor's degree in Statistics, Mathematics, Computer Science, Life Sciences, or a related discipline
- 3+ years of statistical programming experience within the pharmaceutical, biotech, or CRO industry
- Strong experience programming ADaM datasets and generating Tables, Listings and Figures (TLFs)
- Practical experience using SAS within clinical trials
- Experience using R within a clinical research environment
- Understanding of CDISC standards, including ADaM and SDTM
- Experience supporting regulatory submissions and clinical study reporting
- Strong problem-solving skills with the ability to work independently
- Excellent written and verbal communication skills
Preferred Experience
- Experience acting as a lead programmer on studies or workstreams
- Oncology and/or Real World Evidence (RWE) experience
- Knowledge of Define.xml and submission package preparation
- Experience mentoring junior team members
- Previous experience working on GSK studies or within a sponsor-dedicated model
Rewards & Benefits
- Competitive base salary and performance-related incentives
- Health and wellbeing programmes including medical, dental, and vision coverage where applicable
- Retirement and pension plans
- Life assurance and disability coverage
- Employee assistance programmes and wellbeing resources
- Learning and development opportunities through structured training and career pathways
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