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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.
• Build unshakeable trust relationships with colleagues and stakeholders

Qualifications

• Ph.D. in Statistics or related field, or Master’s in Statistics or related field with commensurate years of relevant experience
• 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)
• Proficient in R or SAS 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 inclusive team with a passion about caring for others. 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.