Qui sommes-nous ?
Pierre Fabre est le 2ème laboratoire dermo-cosmétique mondial, le 2ème groupe pharmaceutique privé français et le leader des produits vendus hors prescription dans les pharmacies en France.
Son portefeuille compte plusieurs franchises médicales et marques internationales dont Pierre Fabre Oncologie, Pierre Fabre Dermatologie, Eau Thermale Avène, Klorane, Ducray, René Furterer, A-Derma, Naturactive et Pierre Fabre Oral Care.
Implanté depuis toujours en région Occitanie, fabricant plus de 95% de ses produits en France, le groupe emploie près de 10 000 collaborateurs dans le monde et distribue ses produits dans quelque 130 pays. Pierre Fabre est détenu à 86% par la Fondation Pierre Fabre, une fondation reconnue d’utilité publique, et secondairement par ses collaborateurs à travers un plan d’actionnariat salarié.
En 2021, Ecocert Environnement a évalué la démarche de responsabilité sociétale et environnementale du Groupe selon la norme ISO 26000 du développement durable et lui a attribué le niveau « Excellence ».
Pierre Fabre est reconnu comme l’un des « Meilleurs Employeurs du Monde 2021 » par Forbes. Notre groupe est classé dans le Top 6 de l’industrie cosmétique et dans le Top 7 de l’industrie pharmaceutique dans le monde. Nous sommes convaincus que notre engagement et notre passion font préserver notre indépendance et vivre notre raison d'être.
Votre mission
We are seeking a Translational PK/PD Modeler to join the PKPD/Tox Modeling & Simulation Team within the R&D Pharma at Pierre Fabre Laboratories in Toulouse (Langlade site, Oncopole).
Who You are
You are a proactive modeling scientist who translates preclinical complexity into actionable clinical predictions through rigorous yet pragmatic quantitative approaches. You communicate modeling insights clearly across disciplines from medicinal chemistry to clinical development, and you thrive in collaborative environments where your analyses directly influence critical development decisions. You balance technical excellence with strategic judgement, understanding that impactful modeling requires both scientific rigor and the ability to build trust and credibility with cross-functional stakeholders.
Your role within a pioneering company in full expansion:
What You’ll Do
* Provide strategic translational leadership and translate findings into clear recommendations to drive critical decisions across discovery and early clinical development
* Develop and apply advanced PK/PD models with a focus on oncology programs to guide candidate selection, interspecies extrapolation, FIH dose selection, and a mechanistic understanding of exposure-response relationships
* Evaluate PK/PD relationships across in vitro, in vivo, and emerging clinical data to assess translatability and identify potential disconnects
* Provide quantitative support for IND submissions, including nonclinical pharmacology sections and FIH dose justification
* Communicate PK/PD modeling results to diverse stakeholders and actively influence decision-making in project teams
* Identify opportunities where translational PK/PD modeling can contribute to a better understanding of efficacious exposure and dosing strategies
* Educate cross-functional teams on translational modeling capabilities and appropriate use of quantitative tools
* Collaborate with Clinical Pharmacologists and Pharmacometricians to ensure seamless handoff and continuity of modeling strategy into later clinical development
* Contribute to scientific publications and present at internal or external scientific conferences to establish thought leadership
This position is compatible with teleworking up to 2 days a week according to company rules.
We offer an attractive remuneration/benefits package: Incentives, profit-sharing, Pierre Fabre shareholding with matching contribution, health and provident insurance, 16 days of holidays (RTT) in addition to 25 days of personal holidays, public transport participation...
Qui êtes-vous ?
Your skills at the service of innovative projects:
Required Qualifications:
* PhD in Pharmaceutical Sciences, Computational Biology, Applied Mathematics, or a related quantitative field
* Minimum 5+ years of post-PhD experience preclinical/translational PK/PD modeling in the pharmaceutical or biotech industry
* Expert-level knowledge in preclinical PK/PD with strong experience in oncology-relevant PK/PD models (e.g., TGI models, resistance/adaptation models, survival models, time-to-event models, systems pharmacology models etc.)
* Strong proficiency in programming language (e.g., R, MATLAB, Python) and at least one relevant modeling software (e.g., Monolix, NONMEM, PK-Sim)
* Strong understanding of oncology drug development, including preclinical model systems, biomarkers, and clinical endpoints
* Understanding of regulatory expectations (e.g., ICH S9, FDA guidance on Dosage Optimizing for the Treatment of Oncologic Diseases)
* Strong scientific writing skills and experience in contributing to regulatory submissions (INDs) and scientific publications
* Comfortable with ambiguity and ability to make pragmatic decisions with incomplete data
* Excellent interpersonal skills and the ability to work in cross-functional teams
* Excellent written and verbal skills in English
Preferred Qualifications:
* Demonstrated scientific leadership through a publication track record in oncology
* Experience in PBPK and quantitative systems pharmacology (QSP) models
* Experience in modeling multiple therapeutic modalities beyond small molecules (biologics, targeted therapies, ADCs)
* Experience mentoring junior scientists and leading technical workstreams
Nous sommes convaincus que la diversité est une source d’épanouissement, d’équilibre social et de complémentarité pour nos collaborateurs, nos offres sont donc ouvertes à toutes et tous sans restriction.
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