PK/PD Modelling Scientist - Translational & AI-Driven

Exeltis

Madrid

Presencial

EUR 45.000 - 70.000

Jornada completa

14 días+
Generador de candidaturas

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Descripción de la vacante

A leading pharmaceutical company in Madrid is seeking a PKPD Modelling Scientist to shape drug discovery and development strategies. The successful candidate will apply innovative modelling approaches to generate quantitative insights, guiding decisions from preclinical research to clinical development. Responsibilities include developing PK/PD models and collaborating with cross-functional teams. The ideal candidate will hold a PhD related to pharmacometrics, fluent in English, and possess strong analytical skills. This role promotes diversity and equal opportunity in the workplace.

Formación

  • Basic to initial professional experience in exposure-response modelling applied to drug discovery and/or development.
  • Industry or academic experience in exposure-response modelling, including PK/PD, NLME, PBPK, and/or QSP.
  • Demonstrated willingness to expand expertise in modelling and simulation methodologies.

Responsabilidades

  • Develop and apply a range of modelling and simulation approaches for drug development.
  • Generate quantitative insights and guide study design in preclinical and clinical settings.
  • Drive preclinical‑to‑clinical translation combining various data sources.

Conocimientos

Fluent English
Strong leadership
Communication skills
Organisational skills

Educación

PhD in pharmacometrics, pharmacokinetics, pharmaceutical science, mathematics, or related field

Herramientas

Phoenix
R
NONMEM
PK-Sim

Descripción del empleo

A leading pharmaceutical company in Madrid is seeking a PKPD Modelling Scientist to shape drug discovery and development strategies. The successful candidate will apply innovative modelling approaches to generate quantitative insights, guiding decisions from preclinical research to clinical development. Responsibilities include developing PK/PD models and collaborating with cross-functional teams. The ideal candidate will hold a PhD related to pharmacometrics, fluent in English, and possess strong analytical skills. This role promotes diversity and equal opportunity in the workplace.
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