Johnson & Johnson is seeking a Principal Statistician for their Manufacturing Statistics team, located in Beerse, Belgium, Leiden, Netherlands, or Prague, Czechia. The role involves leading advanced statistical modeling efforts in the pharmaceutical manufacturing space to support research and development
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 their Manufacturing Statistics team, located in Beerse, Belgium, Leiden, Netherlands, or Prague, Czechia. The role involves leading advanced statistical modeling efforts in the pharmaceutical manufacturing space to support research and development.
Skills & Requirements
Must-have
applied statistical modeling
Bayesian and frequentist methods
design of experiments
R and/or Python programming
cross-functional collaborations
reproducible code and documentation
Nice-to-have
chemometric and spectral analysis
predictive modeling
method development acceleration
scientific publications and presentations
internal capability building
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