Principal Scientist Manufacturing Statistics

Johnson & Johnson

Beerse, Belgium
**
Advanced statistical modeling
Predictive models
Spectral deconvolution
** Johnson & Johnson is seeking a Principal Statistician for their Manufacturing Team within the Discovery & Manufacturing Statistics department. The role involves leading advanced statistical modeling efforts in support of pharmaceutical manufacturing programs and requires an advanced degree in statistics or a related field, along with extensive experience in statistical modeling within the pharmaceutical or biotech industries. **

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.
  • Partner closely with chemists, formulation and stability scientists, and process engineers to ensure quality, safety, and continuous supply of medicines.

Matching Summary

Match Score: 75

** Johnson & Johnson is seeking a Principal Statistician for their Manufacturing Team within the Discovery & Manufacturing Statistics department. The role involves leading advanced statistical modeling efforts in support of pharmaceutical manufacturing programs and requires an advanced degree in statistics or a related field, along with extensive experience in statistical modeling within the pharmaceutical or biotech industries. **

Skills & Requirements

Must-have

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

Nice-to-have

  • collaborate with chemists and engineers
  • co-author scientific publications
  • present research findings
  • build trusted relationships
  • internal capability building
  • statistical trainings and mentorship

Key Requirements

  • Advanced degree in Statistics, Biostatistics, Chemometrics (Ph.D. preferred)
  • Minimum 5 years of applied statistical modeling experience
  • Strong expertise in Bayesian and frequentist methods
  • Demonstrated ability to lead cross-functional collaborations
  • Advocate of reproducible code and robust documentation

Work Rights

Not specified

Tailored Resume

Cover Letter