Postdoctoral Research Fellow

**Job Description**
The research group is dedicated to developing innovative datasets and modeling approaches to support drug development and regulatory evaluation, focusing on drug pharmacokinetics (PK) and clinical relevance, and modeling for regulatory science. This Postdoctoral Research Fellow position seeks expertise in systems pharmacology, machine learning, and/or data science to integrate mechanistic modeling and machine learning methods. The role involves analyzing and predicting drug properties, patient responses, and benefit-risk profiles using real-world and regulatory datasets, offering significant interaction opportunities with field experts.

**Skills & Abilities**
• Demonstrated expertise in computational modeling, data analysis, and statistical/machine learning methods.
• Excellent communication and scientific writing skills.
• Experience in mechanistic pharmacokinetic/pharmacodynamic (PK/PD) modeling or systems pharmacology (highly desirable).
• Familiarity with regulatory science or clinical trial data (a plus).

**Experience**
Other:
• Strong publication record in relevant disciplines.

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