Scientist, Pharmacometrician - all genders (limited for 2 years)

About the job

Join the engine of Sanofi’s mission — where deep immunoscience meets bold, AI-powered research. In R&D, you’ll drive breakthroughs that could turn the impossible into possible for millions.

Ready to shape the future of medicine through cutting-edge pharmacometrics?

Join Sanofi's Pharmacometrics Research Group Germany and accelerate drug discovery from hit identification to translation for first-in-human studies!

About Sanofi:

We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives.

Key Responsibilities

Modeling & Simulation Excellence

Support early and late research project teams with state-of-the-art quantitative approaches enabling data-based decision making. Among others your activities will include:

Conduct comprehensive early feasibility analyses (EFA) to assess compound viability and guide project progression decisions

Perform non-compartmental analysis (NCA) and empirical pharmacokinetic/pharmacodynamic (PK/PD) modeling to characterize drug exposure-response relationships and impact in vivo study designs

Develop and validate population pharmacokinetic (popPK) models using advanced mixed-effects modeling and physiologically-based pharmacokinetic (PBPK) modeling approaches

Apply translational modeling approaches to bridge preclinical and clinical PK/PD data, establish in vitro in vivo correlations (IVIVC), conduct and evaluate allometric scaling methodologies for cross-species extrapolation to predict human pharmacokinetics

Advanced Analytics & Innovation

Apply and integrate innovative machine learning methods and descriptive statistics to extract insights from complex datasets

Develop predictive and descriptive models using R, Python, and Julia programming languages

Support automated workflows and visualization tools to enhance modeling efficiency

Project Leadership & Collaboration

Serve as the pharmacometrics representative in cross-functional project teams

Provide strategic modeling guidance from target identification through clinical candidate selection

Support first-in-human (FIH) dose selection and clinical study design optimization

Collaborate with in vitro, in vivo, toxicology, and biostatistics groups

Contribute to regulatory submissions and interact with health authorities when required

Scientific Communication & Development

Present findings at internal project meetings and external scientific conferences

Publish research in peer-reviewed journals to advance the field of pharmacometrics

Prepare comprehensive modeling reports and regulatory documents

Opportunities to mentor junior scientists and contribute to team capability building

Required Qualifications & Experience

Education & Experience

PhD in pharmacometrics, pharmaceutical sciences, applied mathematics, systems biology, bioengineering, bioinformatics, or related quantitative field

Experience in pharmaceutical industry, regulatory agencies, or academia is desirable

Track record of applying PK/PD modeling & simulation in drug development context

Technical Expertise

Proficiency in pharmacometrics software tools and programing languages (R, python,Julia, Pumas,OSP-suite (PK-Sim/MoBi), SimCyp, NONMEM, Monolix)

Solid understanding of ADME principles across multiple modalities (small molecules, biologics (antibodies, nanobodies), RNA therapeutics, PROTACs)

Expertise in machine learning applications in drug development beneficial

Experience with real-world preclinical and clinical PK/PD data analysis

Knowledge of regulatory guidelines and industry best practices

Core Competencies

Strategic thinking with ability to identify opportunities for model-informed drug development

Problem-solving skills to address complex pharmacological questions

Communication excellence to convey technical concepts to diverse audiences

Collaborative mindset for working in matrix organizations and international teams

Scientific rigor in model development, validation, and documentation

Language Requirements

Excellent written and verbal communication skills in English

German language skills are advantageous but not required

Why choose us?

• Be part of a pioneering biopharma company that engages patients early in drug development and uses their insights to design studies that reflect real-world needs. 
• Work at the forefront of drug discovery, harnessing cutting-edge AI, data, and digital platforms to push the boundaries of science. 
• Help improve the lives of millions of people globally by making drug development quicker and more effective. 
• Enjoy opportunities to collaborate beyond your area of expertise, working with diverse teams across science, clinical, and digital fields to spark new ideas and drive breakthroughs. 
• Benefit from a well-thought-out benefits package that rewards your contribution and commitment.

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