Experience:

Basic to initial professional experience in exposure-response modelling applied to drug discovery and/or development.

PKPD Modelling Scientist Overview

As a PKPD Modelling Scientist, you will play a pivotal role in shaping drug discovery and development strategies through the application of innovative modelling and simulation approaches. This is a unique opportunity to contribute across all stages of drug discovery and development, from preclinical research and translational science through to clinical development. You will develop and apply a broad range of PK/PD models to generate quantitative insights that guide key project decisions, with a major focus on informing preclinical and clinical study design, dose selection, exposure-response characterization, and translational strategies to support progression into and through the clinic.

The role also offers the opportunity to apply advanced mathematical and translational modelling approaches to connect preclinical findings with clinical relevance and development plans. By integrating diverse datasets and performing simulations and quantitative analyses, you will help de-risk development, strengthen evidence-based decision‐making, and maximize the probability of clinical success. You will work closely with cross‑functional teams, transform complex data into clear and impactful recommendations,



and communicate your findings to project teams, internal governance committees.

In addition, you will contribute to the development and implementation of innovative technologies, including AI‑driven approaches, to accelerate the drug development pipeline and support drug repurposing strategies.

Specific Responsibilities

- Develop and apply a range of modelling and simulation approaches—including PK/PD, NLME, PBPK, and/or QSP—to support decision‑making across preclinical, translational, and clinical drug development programmes.
- Generate quantitative insights by integrating diverse datasets and performing simulations to guide study design, dose selection and exposure‑response assessment in both preclinical and clinical settings.
- Drive preclinical‑to‑clinical translation by combining preclinical PK/PD, biomarker, and disease‑model data to predict human pharmacokinetics, pharmacodynamics, efficacious exposure ranges, and clinically relevant dosing strategies.
- Prepare and analyse datasets, interpret modelling outputs, and translate results into clear, scientifically grounded recommendations for project teams.
- Work closely with cross‑functional teams and communicate model‑based findings through presentations, technical documentation, and regulatory reports.

📌 PKPD Modelling Scientist - Madrid, Comunidad de Madrid, Spain
🏢 Exeltis
📍 Madrid