Job Description

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

Discovery & Pre-Clinical/Clinical Development

Job Sub Function

Pharmacokinetics & Pharmacometrics

Job Category

Scientific/Technology

All Job Posting Locations:

Beerse, Antwerp, Belgium

Job Description

About Innovative Medicine

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

We are searching for a talented Senior Scientist pharmacokinetic/pharmacodynamic modeling expert in Translation Pharmacokinetic Pharmacodynamic and Investigative Toxicity (TPPIT) group within Preclinical Safety and Translational Sciences (PSTS), to be located in Beerse, Belgium.

The successful candidate will be employed within our PBPK/PD modelling team in TPPIT.

Key Responsibilities

• Represent PSTS/TPPIT as pharmacokinetic/pharmacodynamic modelling expert in cross-functional project teams and external collaborations
• Independently, develop and apply PBPK/PD models to explore the effects of target and pathway modulation, defining candidate drug target profiles and projection of human exposure profiles.
• Predict human dose and regimen, contribute to exposure and pharmacodynamic biomarker-based decision-making for early clinical trials.
• Interpret and communicate modelling results and impact to project teams
• Designs, conducts, interprets and prepares study and regulatory summaries of PBPK and PKPD M&S activities
• Prepare PBPK and/ PKPD M&S-based strategies to support discovery and development programs
• Drive learning through back-translation of clinical exposure and pharmacodynamic data, offering strategic options for future clinical testing.
• Acts as a main contact for team members in discussions relating to the design of their studies and data analysis to support, clinical candidate selection, development and approval of medicines
• Guides junior colleagues through consultation and mentoring in techniques and processes, and provides functional (matrix) supervision
  

You will be encouraged to have a desire for learning and innovation, and to continue career development through participation in internal and external scientific meetings, and increase visibility for self, J&J IM R&D, and J&J through publications, participation in external organizations, and presentations at major scientific, industry, and regulatory meetings.

Required

Qualifications / Requirements:

• PhD in a relevant life science subject area, e.g. pharmaceutical sciences, pharmacometrics, computational biology, chemical/biomedical engineering, or a related field
• In-depth training and hands-on experience with PBPK/PKPD analysis and a proven track record to work with different modelling tools (e.g. Monolix, Matlab, Phoenix, GastroPlus, SimCYP or similar platforms)
• Broad understanding and shown interest in various DMPK relevant areas such as physicochemical properties, drug metabolizing enzyme & transporter kinetics
• Excellent written and oral communication skills in English, excellent interpersonal skills, a high level of organizational ability, attention to detail, and flexibility to work effectively in a collaborative environment globally (US and EU) is required.
• Active scientific participation and collaboration with colleagues in industry, academia and regulatory agencies
  

Preferred

• Experience with broader mechanistic modelling frameworks such as QSP.
• Expert skills in experimental design, mathematical problem solving, critical data analysis/interpretation, and ability to critically evaluate, interpret and integrate large datasets and literature.
  

Required Skills

Preferred Skills:

Analytical Reasoning, Clinical Data Management, Clinical Pharmacology, Clinical Trials Operations, Coaching, Critical Thinking, Drug Discovery Development, Empowering People, Pharmacokinetic Modeling, Pharmacokinetics, Pharmacology, Pharmacometrics, Program Management, Report Writing, Scientific Research, Technologically Savvy