Senior Scientist Manufacturing Statistics Full-time NEW

Senior Statistician

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

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 in research and development context. 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.

The successful candidate will provide statistical support to manufacturing programs across therapeutic modalities, including synthetics, proteins, and advanced therapies. They will support data-driven manufacturing decisions by applying analytical reasoning, performing thorough analyses, advising on experimental design, and clearly communicating evidence. The role includes developing and applying Bayesian predictive models, collaborating with cross-functional teams, and coordinating with external contractors.

Key responsibilities for this exciting and unique role are:

• Work closely 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.
• Serve as a co-author on scientific publications and present research findings at external venues.
• Build and maintain trusted relationships with colleagues and stakeholders through clear, reliable statistical guidance.
• Support internal statistical trainings and contribute to the development and dissemination of best practices and reproducible workflows.

Qualifications:

• Ph.D. in Statistics or related field, or Master's in Statistics or related field with commensurate years of relevant experience

Experience and Skills:

• Knowledge of (non)-linear mixed effects models and multivariate analysis is required
• Knowledge of Bayesian statistics is desirable
• Expertise in experimental design (Optimal DoE, Definitive Screening designs, Bayesian Optimization and Active learning) is a plus
• Proficient in R programming
• Eager to expand expertise, strong intellectual curiosity
• Ability to work autonomously and within a team environment
• Highly effective written and verbal communication and presentation skills
• Fluency in English, both written and spoken

What we offer:

We offer you a place in our wonderful diverse and supportive team dedicated to service and wellbeing. You will be rewarded through a competitive renumeration package along with continuous training, support, and career development programs. You will also receive other benefits such as on-site sport accommodations, health care services and meal vouchers.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law.