Translational PK/PD Modeler -CDI- F/M
PECHBUSQUE, 31
il y a 3 jours
About the Company
Pierre Fabre Laboratories is a leading pharmaceutical and dermo-cosmetics company.
Position Overview
We are seeking a Translational PK/PD Modeler to join the PKPD/Tox Modeling & Simulation Team within R&D Pharma at Pierre Fabre Laboratories in Toulouse (Langlade site, Oncopole).
Responsibilities
- 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 mechanistic understanding of exposure‑response relationships.
- Evaluate PK/PD relationships across invitro, invivo, 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.
Required Qualifications
- PhD in Pharmaceutical Sciences, Computational Biology, Applied Mathematics, or a related quantitative field.
- Minimum 5+ years of post‑PhD experience in 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).
- Strong proficiency in programming languages such as R, MATLAB, or 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., ICHS9, FDA guidance on dosage optimization for 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 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.
Benefits
- Incentives and profit‑sharing.
- Pierre Fabre shareholding with matching contribution.
- Health and provident insurance.
- 16 days of RTT holidays + 25 days of personal holidays.
- Participation in public transport subsidy.
- Position compatible with teleworking up to 2 days a week (company rules).
Diversity & Inclusion
We are convinced that diversity is a source of fulfillment, social balance, and complementarity for our employees; our offers are open to all, without restriction.
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Entreprise
INSTITUT DE RECHERCHE PIERRE FABRE SAS
Plateforme de publication
WHATJOBS
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