Overview
We are currently looking for a Machine Learning Scientist to join a leading pharmaceutical company based in the Cambridge area. As the Machine Learning Scientist, you will be responsible for driving the development of innovative machine learning methods for structure-based drug discovery.
Responsibilities
* Design and implement ML models for structure-based design, including protein-ligand interaction modelling and co-folding applications.
* Develop and extend AI approaches that integrate structural and chemical data to improve virtual screening and molecular design workflows.
* Leverage proprietary structural datasets to train, benchmark, and validate new algorithms.
* Collaborate closely with cross-functional teams to ensure effective translation of research into production-ready solutions.
Qualifications
* Relevant degree in a technical discipline (e.g., computer science, chemistry, physics, engineering).
* Proven industry experience in machine learning, including deep learning and/or generative models.
* A working knowledge and practical experience with modern ML frameworks (e.g., PyTorch, TensorFlow, or JAX).
Key Words: Machine Learning / Drug Discovery / Computational Chemistry / Structural Biology / AI Techniques / Protein-Ligand Interaction / Molecular Modelling / Virtual Screening / Deep Learning / Generative Models
Employer Information
Hyper Recruitment Solutions Ltd (HRS) is an Equal Opportunities employer. We welcome applications from anyone who meets the role requirements. HRS exclusively supports the Life Science sectors, combining recruitment expertise with scientific knowledge to help you advance your career.
Details
* Seniority level: Mid-Senior level
* Employment type: Full-time
* Job function: Information Technology, Science, and Other
* Industries: Biotechnology Research and Pharmaceutical Manufacturing
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