Senior Principal Statistical Programmer

Salary: £60,000 - 100,000 per year

Requirements:

• We require a BS/MS degree in statistics, computer science, mathematics, data science, life science, or an equivalent relevant degree.
• We require extensive experience and deep expertise in statistical programming languages such as R, SAS, or Python.
• We require advanced experience contributing to statistical analysis plans and/or constructing technical programming specifications.
• We require advanced knowledge of industry standards including CDISC data structures and a solid understanding of standard program development and use.
• We require a good understanding of regulatory requirements relevant to statistical programming, such as GCP and study procedures.
• We require proven communication and negotiation skills, and the ability to work well with others globally and influence stakeholders.
• We require experience as a Trial, Lead, or Program Programmer across several studies or project-level activities, including coordination of internal or external programmers.
• We value the ability to transfer knowledge to others and to work with modern tools and approaches such as Git-based workflows, R packages, R Shiny applications, and AI-enabled tools.

Responsibilities:

• We lead statistical programming activities as Trial Programmer for one or more trials, or as Lead/Program Programmer for a program or indication.
• We may coordinate the activities of internal and external programmers.
• We make statistical programming decisions and propose strategies at study, program, indication, or disease level.
• We may act as functional managers for associates by providing supervision and guidance on operational and functional expertise and processes.
• We build and maintain effective working relationships with cross-functional teams and summarize deliverables, timelines, scope, and resource plans.
• We review eCRFs and data structures, and ensure program-level standardization for effective pooling and efficient CRT production.
• We comply with company, department, and industry standards such as CDISC, and clarify additional programming requirements.
• We review, develop, and influence programming specifications as part of analysis plans, including program-level strategies.
• We provide and implement statistical programming solutions and share knowledge across teams.
• We act as programming experts in problem-solving situations.
• We ensure timely, high-quality development and validation of datasets and outputs for CSRs, regulatory submissions and interactions, safety reports, publications, post-marketing activities, and exploratory analyses.
• We understand and apply Git-based version control workflows to support collaborative, traceable, and reproducible programming.
• We are responsible for quality control and inspection readiness of all assigned statistical programming deliverables.
• We establish robust expectations and frameworks for reproducibility, documentation, and code quality across complex workflows.
• We maintain advanced knowledge of statistical programming languages and industry requirements, and drive adoption of reusable solutions and modern approaches across studies and programs.

Technologies:

• AI
• GCP
• Git
• Support
• Marketing
• Python
• SAS
• Cloud
• XML

More:

We are Novartis, working in the Neuroscience therapy area and focused on reimagining medicine together to bring life-changing medicines to patients faster. This role is based in London, UK, with remote working considered, and no relocation support available. We offer a competitive rewards package that includes a performance-based bonus, insurance plans, retirement plans, wellbeing resources, global recognition programs, flexible and hybrid working options where possible, and a minimum of 14 weeks paid parental leave. We are committed to pay equity, diversity, inclusion, and building an outstanding work environment with teams representative of the patients and communities we serve.

last updated 36 week of 2026