PKPD Lead – AI-Driven Drug Discovery
Vor 3 Tagen
PKPD Lead – AI-Driven Drug Discovery
Location:
UK or Switzerland
Type:
Full-time | On-site Hybrid
Sector:
Biotech / Computational Drug Discovery
An innovative biotech at the forefront of AI-enabled drug design is seeking an experienced
PKPD Lead
to drive quantitative pharmacology strategy across biologics and small-molecule programmes. This is a unique opportunity to join a world-class interdisciplinary team shaping the future of model-informed drug discovery.
Key Responsibilities
- Lead PK/PD and quantitative pharmacology strategy from target identification through preclinical development
- Build advanced PKPD models for biologics and small molecules
- Integrate PK, PD and tox data to inform key decisions, including dose and safety margin prediction
- Collaborate closely with Drug Design, Pharmacology, ML Engineering, Preclinical and Clinical teams
- Support AI-driven drug design platforms by contributing PK/PD insights and data for model development
- Work with CRO partners to ensure high-quality, timely data generation
- Mentor junior team members and support a culture of high scientific standards and continuous development
Requirements
Essential:
- PhD in Pharmaceutical Science, Pharmacy, Chemistry, or related field
- 3+ years of industry experience
- Proven experience as a PKPD Lead, ideally with biologics
- Strong expertise in PK/PD modelling and quantitative pharmacology
- Experience supporting early clinical development and regulatory documentation
Nice to Have:
- Understanding of machine learning techniques
- Familiarity with Python or KNIME
Why Apply?
- Work at the intersection of advanced AI and cutting-edge drug discovery
- Play a key role in shaping next-generation modelling platforms for biologics
- Join a collaborative, high-calibre team making a real impact on future therapies
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