At Exeltis, we are committed to advancing innovative healthcare solutions that improve people’s lives worldwide. As part of our continued growth in scientific and translational development capabilities, we are looking for a PKPD Modelling Scientist to join our international R&D team.

This role will play a key part in supporting drug discovery and development programs through advanced modelling & simulation approaches, contributing across preclinical, translational and clinical stages of development.

What will you do?

• Develop and apply PK/PD, NLME, PBPK and/or QSP modelling strategies.

• Generate quantitative insights to support decision-making, study design and dose selection.

• Contribute to exposure-response characterization and translational development strategies.

• Integrate biological, preclinical and clinical datasets to support modelling activities.

• Collaborate cross-functionally with scientific, clinical and development teams.

• Participate in innovative AI-driven approaches applied to drug development and drug repurposing initiatives.

What are we looking for?

• Education in Pharmacometrics, Pharmacokinetics, Pharmaceutical Sciences, Mathematics or related fields (Phd highly valuable).

• Initial industry experience in exposure-response modelling applied to drug discovery and/or development.

• Hands-on experience with tools such as Phoenix, R, NONMEM or PK-Sim.

• Strong understanding of PK/PD and modelling & simulation principles.

• Analytical mindset and ability to translate complex data into actionable scientific insights.

• Fluent English

Why join Exeltis?

• International and innovation-driven environment.

• Opportunity to work on high-impact scientific programs.

• Cross-functional collaboration with global experts.

• Exposure to cutting-edge translational science and AI-driven methodologies.

• Continuous learning and professional development opportunities.

If you are passionate about Pharmacometrics, quantitative sciences and innovative drug development, we would love to hear from you.

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