Senior Manager, Statistical Programming — Hybrid Lead

Bristol-Myers Squibb Co

Województwo mazowieckie

Hybrid

PLN 265,000 - 321,000

Full time

47 hours ago
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Benefits offered by this job

Hybrid work model

Job summary

Bristol Myers Squibb is seeking a Senior Manager, Statistical Programming to lead programming strategies for global clinical projects in Warsaw. You will guide a team, develop ADaM/TFLs, ensure regulatory filings, and partner with GBDS and external vendors in a hybrid work model.

The role requires a strong background in SAS, CDISC, and statistical programming, with 7+ years in industry and a degree in statistics or life sciences.

Qualifications

  • Bachelor’s degree in statistics, biostatistics, mathematics, computer science or life sciences.
  • At least 7 years programming experience in industry including support of significant regulatory filings.
  • Proficient knowledge of drug development process, clinical trial methodology, regulatory guidance, industry standards, statistical concepts.

Responsibilities

  • Provide programming leadership and support to clinical project teams and vendors, ensuring regulatory compliance.
  • Develop, validate, and maintain complex programs and utilities per specifications.
  • Lead electronic submission preparation and review.
  • Create robust programming specs (e.g. ADaM).
  • Review statistical plans and data presentation plans for project alignment.

Skills

Statistical programming
SAS
R
CDISC
Regulatory submissions
Team collaboration

Education

Bachelor’s degree in statistics/biostatistics/mathematics/computer science/life sciences

Tools

MS Office
XML
Pinnacle 21

Job description

Bristol Myers Squibb is seeking a Senior Manager, Statistical Programming to lead programming strategies for global clinical projects in Warsaw. You will guide a team, develop ADaM/TFLs, ensure regulatory filings, and partner with GBDS and external vendors in a hybrid work model.

The role requires a strong background in SAS, CDISC, and statistical programming, with 7+ years in industry and a degree in statistics or life sciences.

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