Principal Scientist Manufacturing Statistics

J&J FAMILY OF COMPANIES

Beerse, Belgium
On-site
Advanced statistical modeling
Bayesian and frequentist methods
Design of experiments
Johnson & Johnson is seeking a Principal Scientist in Manufacturing Statistics to support their Discovery & Manufacturing Statistics department. The role involves advanced statistical modeling to enhance manufacturing processes across various therapeutic modalities and requires collaboration with cross-functional teams

Job Summary

  • Lead advanced statistical modeling efforts in support of manufacturing programs across therapeutic modalities.
  • Partner closely with chemists, formulation and stability scientists, and process engineers to drive development and deployment of predictive models.
  • Support internal capability building through statistical trainings, mentorship, and the development and dissemination of best practices and reproducible workflows.

Matching Summary

Match Score: 85

Johnson & Johnson is seeking a Principal Scientist in Manufacturing Statistics to support their Discovery & Manufacturing Statistics department. The role involves advanced statistical modeling to enhance manufacturing processes across various therapeutic modalities and requires collaboration with cross-functional teams.

Skills & Requirements

Must-have

  • advanced statistical modeling
  • Bayesian and frequentist methods
  • design of experiments
  • R and/or Python programming
  • spectral analytics (ssNMR, THz-Raman, XRD)

Nice-to-have

  • cross-functional collaboration
  • reproducible code
  • sound data governance practices
  • mentorship and best practices
  • Bayesian Optimization workflows

Key Requirements

  • Advanced degree in Statistics, Biostatistics, Chemometrics (Ph.D. preferred)
  • Minimum 5 years of applied statistical modeling experience
  • Hands-on programming proficiency in R and/or Python
  • Demonstrated ability to lead cross-functional collaborations

Work Rights

Not specified

Tailored Resume

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