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Senior Statistical Programmer

Bristol Myers Squibb
Denham, GBR
Full-time
Mid-Senior
Hybrid
Discovered 1 months ago
Statistical programmingSASClinical trial dataCDISC SDTMCDISC ADaMTables, Figures and Listings

Full Job Posting

Role overview

Senior Statistical Programmer role within Bristol Myers Squibb's Global Biometrics and Data Sciences function.

The role is an individual contributor position with ownership of programming workloads and no line-management responsibility.

Programming outputs support clinical development, regulatory review and medicine approvals.

What you will do

  • Write and validate SAS programs for derived analysis datasets and clinical Tables, Figures and Listings.
  • Contribute to NDA, BLA and MAA electronic submission preparation.
  • Review Statistical Analysis Plans and Data Presentation Plans.
  • Partner with vendors on standards, specifications and file transfers.
  • Lead programming assignments across multiple projects with minimal supervision.
  • Improve efficiency and consistency across the Global Biometrics and Data Sciences function.

Education and background

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

Core skills and knowledge

  • Strong SAS proficiency for analysis datasets and Tables, Figures and Listings.
  • In-depth knowledge of clinical data structures, CDISC SDTM and ADaM, and relational databases.
  • Experience with upstream data handling, data forms, eDC, workflow and SDTM.
  • Ability to deliver ADaM datasets, Data Definition Tables and electronic submission packages.
  • Experience with MS Office, XML and Pinnacle 21.
  • Familiarity with statistical, clinical trial, medical and protocol terminology.
  • Effective communication and collaboration across functions and with vendors.

Additional advantages

  • Deep experience supporting global regulatory filings in pharmaceutical clinical development.
  • Broad knowledge of the end-to-end drug development process and global regulatory frameworks.
  • Experience with R or other statistical programming languages.
  • Familiarity with the Linux operating system.

Workplace

  • The role is hybrid with at least 50% onsite presence at the assigned facility.
  • The source identifies the work location as Uxbridge, UK.

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