Principal Scientist Manufacturing Statistics

Johnson & Johnson MedTech

Beerse, Belgium
On-site
Advanced statistical modeling
Predictive models
Spectral deconvolution
Johnson & Johnson is seeking a Principal Statistician for its Manufacturing Statistics team, focusing on advanced statistical modeling in pharmaceutical research and development. The role involves collaborating with chemists and engineers to ensure quality and safety in product manufacturing, with locations in Belgium, the Netherlands, and Czechia

Job Summary

  • Lead advanced statistical modeling efforts in support of manufacturing programs across therapeutic modalities.
  • Develop design of experiments and Bayesian Optimization workflows to accelerate method development and reaction optimization.
  • Build and maintain trusted relationships with colleagues and stakeholders through clear, reliable statistical guidance.

Matching Summary

Match Score: 85

Johnson & Johnson is seeking a Principal Statistician for its Manufacturing Statistics team, focusing on advanced statistical modeling in pharmaceutical research and development. The role involves collaborating with chemists and engineers to ensure quality and safety in product manufacturing, with locations in Belgium, the Netherlands, and Czechia.

Skills & Requirements

Must-have

  • advanced statistical modeling
  • predictive models
  • spectral deconvolution
  • chemometric workflows
  • design of experiments
  • Bayesian Optimization workflows
  • R and/or Python programming

Nice-to-have

  • cross-functional collaborations
  • reproducible code
  • sound data governance practices
  • clear, reliable statistical guidance

Key Requirements

  • Advanced degree in Statistics, Biostatistics, Chemometrics or related discipline (Ph.D. preferred)
  • Minimum 5 years applied statistical modeling experience
  • Strong expertise in Bayesian and frequentist methods
  • Demonstrated ability to lead cross-functional collaborations

Work Rights

Not specified

Tailored Resume

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