Machine Learning Scientist

JR United Kingdom; Cambridgeshire and Peterborough; On-site; GBP 50,000 - 90,000; Full time

Job summary

Join a leading pharmaceutical company as a Machine Learning Scientist, where you will drive the development of innovative machine learning methods for structure-based drug discovery. This role offers the opportunity to design and implement cutting-edge ML models, collaborate with cross-functional teams, and utilize proprietary datasets to validate new algorithms. You will be at the forefront of integrating AI techniques into drug discovery, making a significant impact in the life sciences sector. If you are passionate about machine learning and its applications in healthcare, this is the perfect opportunity for you.

Qualifications

• Relevant degree in a technical discipline is required.
• Proven industry experience in machine learning is essential.
• Practical experience with modern ML frameworks is necessary.

Responsibilities

• Design and implement ML models for structure-based drug design.
• Develop AI approaches to enhance virtual screening workflows.
• Collaborate with teams to translate research into production-ready solutions.

Skills

Machine Learning

Deep Learning

Generative Models

Protein-Ligand Interaction

Molecular Modelling

Virtual Screening

Computational Chemistry

Structural Biology

AI Techniques

Education

Degree in Computer Science

Degree in Chemistry

Degree in Physics

Degree in Engineering

Tools

PyTorch

TensorFlow

JAX

Job description

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.