Senior Statistical Programmer — Hybrid, Impactful Clinical

Bristol-Myers Squibb Co; Uxbridge; Híbrido; GBP 60 000 - 85 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Comprehensive benefits

Flexible working

Resumo da oferta

Bristol Myers Squibb in the UK is seeking a Senior Statistical Programmer to shape how data informs regulatory decisions. You will lead programming across multiple projects with autonomy, delivering high‑quality TFLs and datasets that support NDA/BLA/MAA submissions.

The role requires a strong SAS background, SDTM/ADaM knowledge, and collaboration with cross‑functional teams. You’ll work in a hybrid setup in Uxbridge, contribute to global submissions, and access comprehensive benefits.

Qualificações

• Bachelor's degree in Statistics, Biostatistics, Mathematics, Computer Science, or Life Sciences.
• Demonstrated industry experience in statistical programming.

Responsabilidades

• Write and validate SAS programs to generate derived analysis datasets and TFLs for regulatory submissions.
• Contribute to electronic submission preparation (NDA, BLA, MAA) and related milestones.
• Review and shape SAPs and Data Presentation Plans before programming work begins.
• Partner with vendors on programming standards, specifications, and file transfers.
• Independently lead programming assignments across multiple projects with minimal supervision.
• Spot opportunities to improve efficiency and consistency across GBDS.

Conhecimentos

SAS programming

CDISC SDTM/ADaM

eDC

Data handling

MS Office

XML

Pinnacle 21

Formação académica

Bachelor's degree in Statistics, Biostatistics, Mathematics, Computer Science, or Life Sciences

Ferramentas

MS Office

XML

Pinnacle 21

Descrição da oferta de emprego

Bristol Myers Squibb in the UK is seeking a Senior Statistical Programmer to shape how data informs regulatory decisions. You will lead programming across multiple projects with autonomy, delivering high‑quality TFLs and datasets that support NDA/BLA/MAA submissions.

The role requires a strong SAS background, SDTM/ADaM knowledge, and collaboration with cross‑functional teams. You’ll work in a hybrid setup in Uxbridge, contribute to global submissions, and access comprehensive benefits.