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You will join a DMPK drug discovery team in Spain to influence how we translate science into safer, more effective medicines. You will design and deliver modelling and simulation strategies to support discovery and early development projects. You will work closely with project teams across disciplines and locations to inform dose decisions, drug-drug interaction risk, and human pharmacokinetics. We value collaborative thinkers who communicate clearly, mentor others, and apply modelling with scientific rigour and practical judgement. This role is part of GSK's Global Health Medicines R&D team which aims to positively impact infectious diseases such as Malaria, Tuberculosis, and AMR that disproportionally impact lower income countries.
Job Responsibility
Lead development and application of pharmacokinetic and pharmacokinetic-pharmacodynamic (PK/PD) models for small molecules and other modalities to inform project decisions
Design and deliver translational modelling strategies, including dose prediction and human exposure projections
Assess and quantify drug-drug interaction (DDI) risk using in vitro-in vivo translation and modelling approaches
Communicate model assumptions, results and uncertainty clearly to cross-functional teams and governance bodies
Mentor and coach colleagues on modelling methods, good practices and scientific interpretation
Contribute to regulatory and internal documents with clear, evidence-based modelling narratives
Requirements
Degree in Pharmacology, Pharmaceutics, Pharmacokinetics, Mathematics, Bioengineering, or a related discipline
Practical experience in population PK, PBPK, or mechanistic PK/PD modelling in a biopharma setting
Hands-on experience with modelling software such as, Matlab (symbiology), Monolix, Simcyp, GastroPlus, or equivalent
Experience translating in vitro and preclinical data to humans
Strong written and verbal communication skills in English
ability to explain modelling outcomes to non-specialists
Experience working in cross-functional project teams
Nice to have
PhD in a relevant field or equivalent industry experience
Experience with drug-drug interaction modelling and enzyme/transporter mechanistic frameworks
Familiarity with multiple modalities beyond small molecules
Experience preparing modelling sections for regulatory documents and interacting with regulators
Programming skills in R, MATLAB, or Python for data analysis and model development
Experience in infectious disease drug discovery
Track record of mentoring and developing junior scientists