Principal Translational PK/PD Modeller & Strategy Lead

RBW Consulting; England; Sur place; GBP 90 000 - 140 000; Plein temps

Résumé du poste

RBW Consulting is supporting a global biopharmaceutical organisation in finding a Principal Scientist to join a collaborative quantitative sciences team. The role offers influence over project strategy from early research through to clinical development, applying translational modelling and simulation to inform key drug development decisions.

You will lead modelling strategies, integrate data across disciplines, and collaborate with translational medicine, safety sciences, bioanalysis, and

Qualifications

• PhD in Systems Biology, Pharmacometrics, PK/PD or related discipline.
• Strong experience applying modelling and simulation approaches within drug discovery and development.
• Demonstrated ability to design and execute quantitative pharmacology strategies spanning research through early clinical development.
• Experience working within complex, matrixed R&D environments.
• Proficiency with modelling tools such as R, Monolix, Phoenix, or similar platforms.
• Excellent communication skills, with the ability to influence stakeholders across scientific disciplines.

Responsabilités

• Lead quantitative pharmacology and translational modelling strategies across a diverse project portfolio.
• Integrate preclinical and translational data to inform decision-making and support progression into clinical development.
• Develop mechanistic and PK/PD models to evaluate hypotheses, optimise study design, and support strategic development plans.
• Collaborate with multidisciplinary teams across areas such as translational medicine, safety sciences, bioanalysis, and clinical development.
• Provide scientific leadership on modelling and simulation activities both internally and through external partnerships.
• Contribute to regulatory documentation and strategic submissions where required.

Connaissances

Modelling & simulation

Communication

Formation

PhD in Systems Biology, Pharmacometrics, PK/PD

Outils

R

Monolix

Phoenix

Description du poste

I'm currently supporting a global biopharmaceutical organisation in their search for an experienced Principal Scientist to join a highly collaborative quantitative sciences team.

This role offers the opportunity to influence project strategy from early research through to clinical development, applying translational modelling and simulation approaches to support key drug development decisions.

Key Responsibilities:

• Lead quantitative pharmacology and translational modelling strategies across a diverse project portfolio.
• Integrate preclinical and translational data to inform decision-making and support progression into clinical development.
• Develop mechanistic and PK/PD models to evaluate hypotheses, optimise study design, and support strategic development plans.
• Collaborate with multidisciplinary teams across areas such as translational medicine, safety sciences, bioanalysis, and clinical development.
• Provide scientific leadership on modelling and simulation activities both internally and through external partnerships.
• Contribute to regulatory documentation and strategic submissions where required.

What We're Looking For:

• PhD in Systems Biology, Pharmacometrics, PK/PD, or a related discipline.
• Strong experience applying modelling and simulation approaches within drug discovery and development.
• Demonstrated ability to design and execute quantitative pharmacology strategies spanning research through early clinical development.
• Experience working within complex, matrixed R&D environments.
• Proficiency with modelling tools such as R, Monolix, Phoenix, or similar platforms.
• Excellent communication skills, with the ability to influence stakeholders across scientific disciplines.

Why Consider This Opportunity?

• High-profile role with significant scientific impact.
• Exposure to innovative therapeutic programmes.
• Strong emphasis on collaboration, innovation, and translational science.
• Opportunity to shape strategy and contribute to the advancement of novel medicines.