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 jnj.com.

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Data Analytics & Computational Sciences:

Job Sub Function:

Biostatistics

Job Category:

Scientific/Technology

All Job Posting Locations:

Beerse, Antwerp, Belgium, Leiden, Netherlands, Prague, Czechia

Job Description:

Johnson & Johnson Innovative Medicine Research & Development is recruiting a Principal Statistician to join the Manufacturing Team within the Discovery & Manufacturing Statistics (DMS) department to be located at Beerse (Belgium), Leiden (The Netherlands) or Prague (Czechia).

The Manufacturing team within the DMS department, part of the Statistics and Decision Sciences organization at J&J, provides vital statistical support for the design and analysis of manufacturing studies in research and development context. The work 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 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), Boston (MA, USA), Spring House (PA, USA), Raritan (NJ, USA) and La Jolla, (CA, USA) campuses.

Job Description

We are seeking a Principal Statistician to lead advanced statistical modeling efforts in support of manufacturing programs across therapeutic modalities (synthetics, proteins and advanced therapies). The role will drive development and deployment of predictive models, spectral deconvolution and chemometric workflows, reaction fingerprinting, and spectroscopic screening. The successful candidate will partner closely with chemists, formulation and stability scientists, and process engineers.

Key responsibilities for this exciting and unique role are:

• Lead statistical strategy and execution for projects including solubility modeling and prediction; accelerated stability and shelf-life estimation; reaction trend fingerprinting and outlier detection; dissolution modeling; mechanistic modeling; and spectral analytics (ssNMR, THz-Raman, XRD).

• Develop design of experiments and Bayesian Optimization workflows to accelerate method development and reaction optimization.

• Lead chemometric and spectral analysis pipelines

• Work closely with researchers on experimental design, data analysis, interpretation, and clear communication of evidence to support research, development, and product commercialization.

• Co-author scientific publications and present research findings at internal and external forums.

• Build and maintain trusted relationships with colleagues and stakeholders through clear, reliable statistical guidance.

• Support internal capability building through statistical trainings, mentorship, and the development and dissemination of best practices and reproducible workflows.

Minimum (required) Qualifications Education:

• Advanced degree in Statistics, Biostatistics, Chemometrics or a closely related discipline. (Ph.D. preferred; M.S. considered with exceptional experience)

Experience and Skills:

• Minimum 5 years of applied statistical modeling experience in pharmaceutical, biotech, or chemical process environments, or equivalent industry experience.

• Strong expertise in Bayesian and frequentist methods, including experience with design of experiments.

• Hands-on programming proficiency in R and/or Python.

• Demonstrated ability to lead cross-functional collaborations and to present complex statistical concepts clearly to non-statistical audiences.

• Advocate of reproducible code, robust documentation, and sound data governance practices.

• Strong communicator capable of building trust across scientific, engineering and product teams.

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.

For more information on how we support the whole health of our employees throughout their wellness, career and life journey, please visit www.careers.jnj.com.]

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. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers, internal employees contact AskGS to be directed to your accommodation resource.

Required Skills: Preferred Skills:

Advanced Analytics, Biostatistics, Clinical Data Management, Collaborating, Compliance Management, Critical Thinking, Data Privacy Standards, Good Clinical Practice (GCP), Organizing, Presentation Design, Program Management, Quality Assurance (QA), Regulatory Affairs Management, Research Documents, Standard Operating Procedure (SOP), Statistical Analysis Systems (SAS) Programming, Survey Design