Population PK/Pharmacometrics Modeler- M/F

Pierre Fabre Laboratories; Toulouse; Sur place; EUR 70 000 - 100 000; Plein temps

Avantages offerts par ce poste

Incentives

Profit-sharing

Health and provident insurance

16 days of RTT holidays

25 days of personal holidays

Public transport participation

Résumé du poste

Pierre Fabre Laboratories is seeking a Population PK/Pharmacometrics Modeler to join their Pharmacokinetics and Toxicology team in Toulouse. This role involves leading population modeling strategies to guide clinical development and regulatory submissions in oncology. The ideal candidate will have a PhD, 5+ years of relevant experience, and proficiency in NONMEM.

The position offers the possibility of teleworking up to 2 days per week and an attractive remuneration package, including health insurance and additional holidays.

Qualifications

• 5+ years of hands-on population PK modeling experience in the pharmaceutical industry.
• Expert-level proficiency in NONMEM and familiarity with other mixed-effects modeling tools.
• Strong programming skills in R or Python.

Responsabilités

• Lead population PK/PD modeling strategies and translate findings.
• Develop and qualify pharmacometrics analyses with emphasis on oncology.
• Serve as lead author for clinical and regulatory documents.

Connaissances

Population PK modeling

Pharmacometrics

R programming

Python programming

Data analysis

Interpersonal skills

Formation

PhD in Pharmaceutical Sciences, Biostatistics, or related field

Outils

NONMEM

Monolix

Description du poste

We are seeking a Population PK/Pharmacometrics Modeler to join the Pharmacokinetics and Toxicology team within the Pierre Fabre R&D Pharma in Toulouse to support oncology programs (Langlade site, Oncopole).

Who You are

You are a proactive pharmacometrician who translates clinical trial data into strategic insights that shape dosing strategies, trial designs, and regulatory submissions. You combine deep technical expertise in population modeling with the ability to distill complex exposure-response relationships into clear recommendations for clinical teams, regulators, and senior leadership. You thrive in collaborative environments where your quantitative analyses directly influence decisions from Phase 1 dose escalation schemes to pivotal trial endpoints. You understand that the value of a model lies not in its mathematical elegance but in its ability to reduce uncertainty and accelerate patient access to effective therapies.

Your role within a pioneering company in full expansion:

• Lead population PK/PD modeling strategies and translate findings into clear recommendations to drive critical decisions across clinical development programs
• Develop and qualify pharmacometrics analyses with emphasis on population PK/PD modeling and exposure-response analysis in oncology
• Drive and coordinate the integration of pharmacometrics analyses in the drug development process to mitigate risks early and support data-driven decision-making
• Identify opportunities where pharmacometrics analyses can contribute to a better understanding of pharmacokinetics, pharmacodynamics, safety, and efficacy
• Serve as lead author and key contributor for pharmacometrics sections of clinical and regulatory documents (e.g., briefing books, summaries of clinical pharmacology/efficacy/safety, and responses to Health Authority questions)
• Represent the team at global regulatory hearings/advisory committee meetings and other global regulatory interactions
• Mentor and guide colleagues on pharmacometrics methodology
• Contribute to scientific publication

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…

Your skills at the service of innovative projects:

Required Qualifications:

• PhD in Pharmaceutical Sciences, Pharmacometrics, Biostatistics, Applied Mathematics, or a related quantitative field
• Minimum 5+ years of hands‑on population PK modeling experience in the pharmaceutical industry
• Expert‑level proficiency in NONMEM; familiarity with other mixed‑effects modeling tools, such as Monolix, is a plus
• Extensive experience with advanced population PK/PD methodology
• Strong programming skills in R or Python for data manipulation, exploratory analysis, diagnostics, and visualization
• Experience in supporting regulatory submissions (IND, NDA/BLA) including preparation of modeling sections and responding to health authorities
• Excellent interpersonal skills and the ability to work in cross‑functional teams
• Excellent written and verbal skills in English

Preferred Qualifications:

• Proven track record of delivering pharmacometrics analyses that influenced clinical development or regulatory decisions
• Experience with model‑based meta‑analysis, Bayesian trial design, or novel exposure‑response methods
• Understanding of oncology drug development is highly desirable
• Experience in modeling multiple therapeutic modalities beyond small molecules (biologics, targeted therapies, ADCs) is a plus