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!
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.
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:
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
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 programming 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
Excellent written and verbal communication skills in English
German language skills are advantageous but not required
Tagged as: Life Sciences
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