Senior Statistician
hace 1 mes
At Bayer, we're driven to solve the world's toughest challenges and strive for a world where health for all and hunger for none is no longer a dream, but a reality.
Clinical Statistics - Senior Statistician
Position Purpose:
A Senior Statistician provides statistical expertise to cross-functional teams, leads teams of statisticians and programmers, and ensures the use of appropriate and efficient statistical analysis methods during development, submission, and life-cycle management of Bayer products according to global and regional standards, procedures, and regulatory guidelines.
Geographical Scope: Global
Key Responsibilities:
- Collaborate with representatives from other functions to plan studies, execute analyses, and report results.
- Lead virtual cross-functional sub-teams within DS&A.
- Implement standard processes for routine analyses.
- Develop statistical analysis plans for studies.
- Facilitate the overall organization and coordination of statistical activities.
- Assume responsibility for the production and accuracy of statistical analysis and interpretation of results.
- Work independently on statistical questions and tasks.
- Oversee and ensure accurate and timely delivery of statistical work outsourced to external providers.
Value Added:
- Statistics and statistical methodology are integral to drug development and life-cycle management, impacting the planning, design, analysis, and reporting of studies, projects, and programs.
- The Senior Statistician contributes to drug research, development, approval, and life-cycle management.
Contribution Context:
Individual Contributor, Team Member, Team Leader
Work Relations:
Statisticians, Statistical Analysts, Study Team Members, Clinical Team Members, External Providers, Collaboration Partners
Qualifications:
- PhD or MS in Biostatistics, Statistics, or Mathematics
- At least two years of experience as a statistician in the Pharma, Biotech, or similar sector
- Strong communication skills and ability to work independently and collaboratively
- Good knowledge of statistical programming languages (SAS and/or R)
- Fluency in English
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