Pharmacometrics Lead (Germany)

Stellenbeschreibung:

Overview

As Pharmacometrics Lead at UCB, you will steer a team of pharmacometricians to apply state-of-the-art modeling to pediatric drug development in neurology and immunology. You will shape the pharmacometrics strategy across assets, collaborate with cross-functional teams, and guide outsourcing while growing internal expertise. Your work will inform dose selection, trial design, and regulatory discussions, contributing to value-driven development for patients. This role blends hands-on modeling with leadership, in a hybrid setup across Slough, Monheim, or Braine.

Leistungen / Benefits
  • hybrid work model (40% office)
  • inclusive and collaborative culture
  • opportunity for career growth
  • global exposure
  • employee development focus
  • equal opportunity employer
Verantwortungsbereiche
  • Lead and mentor pharmacometricians, guiding project navigation within a matrix organization
  • Develop and deliver pharmacometrics strategy to support asset development
  • Perform population PK/PD analyses, exposure–response modeling, and clinical trial simulations on assigned projects
  • Create submission-ready pharmacometrics analysis plans and reports
  • Oversee outsourced pharmacometrics activities and integrate internally when suitable
  • Maintain awareness of global regulatory pathways and opportunities for collaboration in pediatrics, neurology and immunology
  • Promote MID3 internally and externally
Zentrale Anforderungen
  • PhD or MD in Pharmaceutical Sciences, Statistics or Engineering
  • 8+ years in (bio)pharmaceutical pharmacometrics with at least 2 years in line management
  • Hands-on experience in population PK/PD, disease progression modeling, and clinical trial simulations
  • Strong knowledge of Bayesian methods, model-based meta-analyses, PBPK, QSP, and AI/ML in pharmacometrics
  • Expertise in R, NONMEM or related pharmacometrics software
  • mentoring and people development
  • collaboration across matrix teams
  • effective communication of complex modeling concepts
  • population PK/PD
  • exposure–response modeling
  • clinical trial simulations
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Stelleninformationen

  • Veröffentlichungsdatum:

    14 Sep 2026
  • Standort:

    Mettmann
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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