Position Details
About this role
Senior Scientist, Discovery Data Science to help advance AI/ML for drug discovery, with a preferred location Beerse, Belgium or Spring House, PA. Hybrid work model with on-site expectations.
Key Responsibilities
- Develop and apply AI/ML methods for drug discovery; collaborate with IT and MLOps to bring models into production; translate computational results for non-specialist audiences; publish and present findings; contribute to cross-disciplinary teams
Technical Overview
Requires advanced ML and data science techniques; experience with Python and DL frameworks (PyTorch, TensorFlow, Keras); familiarity with cloud and MLOps; applied to drug discovery and molecular design.
Ideal Candidate
The ideal candidate is a senior data scientist with a PhD in a related field and hands-on experience applying AI/ML to drug discovery, including molecular design and off-target risk modeling. They should be comfortable working in a hybrid setting and collaborating across biology, chemistry, and IT teams.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
PhD must be in Data Science, Computational Science, or related field, unwillingness to engage in hybrid on-site work at Beerse or Spring House
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