ROLE OVERVIEW:
We are currently seeking a Machine Learning Scientist to join a leading pharmaceutical company based near Cambridge. The successful candidate will drive the development of innovative machine learning methods for structure-based drug discovery.
KEY DUTIES AND RESPONSIBILITIES:
1. Design and implement ML models for structure-based design, including protein-ligand interaction modelling and co-folding applications.
2. Develop and extend AI approaches that integrate structural and chemical data to enhance virtual screening and molecular design workflows.
3. Utilize proprietary structural datasets to train, benchmark, and validate new algorithms.
4. Collaborate with cross-functional teams to translate research into production-ready solutions.
ROLE REQUIREMENTS:
Applicants should have:
1. A relevant degree in a technical discipline (e.g., computer science, chemistry, physics, engineering).
2. Proven industry experience in machine learning, including deep learning and/or generative models.
3. Practical experience with modern ML frameworks such as PyTorch, TensorFlow, or JAX.
Keywords: Machine Learning, Drug Discovery, Computational Chemistry, Structural Biology, AI Techniques, Protein-Ligand Interaction, Molecular Modelling, Virtual Screening, Deep Learning, Generative Models
Hyper Recruitment Solutions Ltd (HRS) is an Equal Opportunities employer. We welcome applications from all qualified candidates. HRS specializes in supporting the Life Science sector with recruitment expertise and scientific knowledge to help advance your career.
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