Senior Principal Statistical Programmer - Remote Lead

Novartis UK; Greater London; A distancia; GBP 49.000 - 91.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid working options

14 weeks parental leave

Descripción de la vacante

Novartis UK is seeking a Senior Principal Statistical Programmer in London. The role leads complex programming strategies across high‑impact studies, partnering with cross‑functional teams to deliver regulatory‑ready outputs. Location in London with possible remote working is offered.

The ideal candidate brings extensive experience in statistical programming (R/SAS/Python), CDISC standards, and leadership of internal or external programming teams across studies or programs.

Formación

• BS/MS degree in statistics, computer science, mathematics, data science, life science or equivalent relevant degree.
• Extensive experience in statistical programming languages (R, SAS, Python) with reproducible workflows.
• Experience contributing to statistical analysis plans and technical programming specs.
• Strong knowledge of CDISC data standards and regulatory requirements (GCP).

Responsabilidades

• Lead SP activities for one or multiple trials or programs.
• Coordinate internal/external programmers and guide programming strategies.
• Act as a functional manager providing supervision and guidance to junior programmers.
• Summarise study status to cross‑functional teams and manage timelines/resources.
• Ensure CDISC compliance, data structures, and program-level standardization.

Conocimientos

Statistical programming

Team leadership

CDISC & GCP

Regulatory knowledge

Lead programming experience

Educación

BS/MS in statistics/computer science/mathematics/data science/life science

Herramientas

Git

R

SAS

Python

Descripción del empleo

Novartis UK is seeking a Senior Principal Statistical Programmer in London. The role leads complex programming strategies across high‑impact studies, partnering with cross‑functional teams to deliver regulatory‑ready outputs. Location in London with possible remote working is offered.

The ideal candidate brings extensive experience in statistical programming (R/SAS/Python), CDISC standards, and leadership of internal or external programming teams across studies or programs.