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.

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Job Function:

Discovery & Pre-Clinical/Clinical Development

Job Sub Function:

Pharmaceutical Product R&D

Job Category:

Scientific/Technology

All Job Posting Locations:

Beerse, Antwerp, Belgium

Job Description:

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine

As a Senior Scientist within the Center for Computational Chemistry and Advanced Modelling, you play a pivotal role in reshaping how we develop small molecule medicine & therapies by leveraging mechanistic and data-driven modelling techniques.

We are seeking for a passionate modelling expert to join our team. The successful candidate will work in interdisciplinary teams and collaborate closely with scientists at various stages of drug product development to contribute to delivering the most robust drug products. They will use the currently established modelling methodologies to support new and ongoing projects and expand the general modelling capabilities further.

Role and responsibilities

• Identify the mechanisms governing drug product behaviour using underlying physical and chemical principles.

• In support of knowledge improvement and understanding, design relevant experimental designs which can be used to calibrate, build and/or expand mathematical models.

• Proactively identify new areas that could be solved using mathematical modelling or data-driven methods.

• Translate learnings and new insights into concrete and actionable recommendations for the drug product development portfolio.

• Interact and collaborate with scientists across discovery and development organizations, IT and statistics.

 

Qualifications

• A PhD in chemistry, physics, engineering, pharmaceutical sciences or related field, or equivalent advanced experience, is required. With focus in data driven research - with postdoctoral experience preferred.

• Expertise in mechanistic/data-driven and/or statistical modelling of scientific processes and material attributes, preferably in a pharmaceutical context

 

Preferred Experience and Skills 

• Knowledge of either mathematical modelling, statistics or experimental design.

• Experience with at least one programming language such as Python, Julia, or R

• Experience with data extraction, data preprocessing and data analysis

• Any additional experience with algorithmic analyses or modelling techniques, such as model-based optimal design, Bayesian optimization, machine learning methods or cheminformatics is considered an advantage.

• Ability to bring forward pragmatic and fit-for-purpose modelling solutions, clearly indicating the capabilities and limitations

• Track record in original scientific publications and conference contributions

• Ability to build bridges between colleagues, disciplines, departments, and collaborators

• Willing to challenge the status quo in a constructive manner suggesting alternative solutions for existing problems

 

 

Required Skills:

 

 

Preferred Skills:

Coaching, Collaborating, Critical Thinking, Drug Discovery Development, Goal Attainment, Market Research, Organizing, Pharmaceutical Sciences, Pharmaceutical Trends, Product Development, Product Strategies, Report Writing, Research Documents, Research Proposals, Scientific Research, Standard Scientific Processes and Procedures, Technologically Savvy