Senior Scientist Manufacturing Statistics

At Johnson & Johnson, we believe health is everything.

Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com

Job Function:
Data Analytics & Computational Sciences

Job Sub Function:
Biostatistics

Job Category:
Scientific/Technology

All Job Posting Locations:
Beerse, Antwerp, Belgium, Leiden, South Holland, Netherlands, Prague, Czechia

Job Description:

Johnson & Johnson Innovative Medicine (JJIM) Research & Development, L.L.C., is recruiting a Senior Statistician to join the Manufacturing Unit within the Discovery and Manufacturing Statistics (DMS) group  to be located at Beerse, Belgium, Leiden, the Netherlands and/or Prague, Czechia.

The Manufacturing group within the DMS department, part of the Statistics and Decision Sciences organization at J&J, offers vital statistical support for the design and analysis of manufacturing processes.

Their work seamlessly integrates statistical methods with scientific and engineering principles.

Their expertise spans a wide range of areas, covering compounds, programs, and technologies throughout all phases of pharmaceutical research and development.

The ultimate goal is to ensure the quality, safety, and continuous supply of our portfolio medicines, ultimately benefiting patients worldwide.  DMS represents a global team of statisticians located in Beerse (Belgium), Leiden (The Netherlands), Prague (Czechia), High Wycombe (UK), Spring House (PA, USA), Raritan (NJ, USA) and La Jolla, (CA, USA) campuses.

Job Description

The successful candidate will contribute to statistical services in support of manufacturing programs for all therapeutic modalities (small molecules, biologics and advanced therapies).  He/she will contribute to making informed decisions in manufacturing through his/her analytical mindset, analysis skills, experimental design suggestions and through appropriate reporting and communication of data evidence.

  In particular, the candidate will be responsible for Bayesian predictive modelling and will collaborate within cross-functional teams and with external contractors.

Key responsibilities for this exciting and unique role are:


* Engage in collaborative efforts with researchers on experimental design, data analysis, interpretation, and clear communication of evidence to support research, development, and product commercialization.


* Ensure the appropriate application of high-quality statistical methodologies tailored to each research need.


* Contribute as a co-author to scientific publications and presentations presenting research findings....