Senior Scientist Manufacturing Statistics

Johnson & Johnson Innovative Medicine

Beerse, Belgium
**
Statistical methodologies
Experimental design
Data analysis and interpretation
** Johnson & Johnson Innovative Medicine is seeking a Senior Scientist in Manufacturing Statistics to support data-driven manufacturing decisions and statistical analysis within their Discovery and Manufacturing Statistics group. The ideal candidate will have a strong background in statistical methodologies, including experience with Bayesian statistics and R programming, and will work in a collaborative, diverse environment. **

Job Summary

  • Provide statistical support for manufacturing programs across various therapeutic modalities, including synthetics, proteins, and advanced therapies.
  • Support data-driven manufacturing decisions by applying analytical reasoning, performing thorough analyses, advising on experimental design, and clearly communicating evidence.
  • Collaborate with cross-functional teams, coordinate with external contractors, and contribute to the development and dissemination of best practices and reproducible workflows.

Matching Summary

Match Score: 75

** Johnson & Johnson Innovative Medicine is seeking a Senior Scientist in Manufacturing Statistics to support data-driven manufacturing decisions and statistical analysis within their Discovery and Manufacturing Statistics group. The ideal candidate will have a strong background in statistical methodologies, including experience with Bayesian statistics and R programming, and will work in a collaborative, diverse environment. **

Skills & Requirements

Must-have

  • Statistical methodologies
  • Experimental design
  • Data analysis and interpretation
  • R programming proficiency

Nice-to-have

  • Bayesian statistics knowledge
  • Bayesian predictive models
  • Cross-functional team collaboration
  • Scientific publications and presentations

Key Requirements

  • Ph.D. in Statistics or related field
  • Master’s in Statistics or related field with commensurate experience
  • Knowledge of (non)-linear mixed effects models
  • Knowledge of multivariate analysis

Work Rights

Not specified

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