Machine Learning Scientist

Hyper Recruitment Solutions; Cambridgeshire and Peterborough; On-site; GBP 50,000 - 80,000; Full time

Job summary

An innovative firm in the pharmaceutical sector is seeking a Machine Learning Scientist to drive advancements in drug discovery through cutting-edge AI techniques. In this role, you will design and implement machine learning models, enhancing workflows for molecular design and virtual screening. The position offers a unique opportunity to work with proprietary datasets and collaborate with cross-functional teams, ensuring that research translates into production-ready solutions. If you are passionate about leveraging machine learning in a meaningful way, this role is perfect 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 needed.

Responsibilities

• Design and implement ML models for structure-based design.
• Develop AI approaches integrating structural and chemical data.
• Collaborate with teams to translate research into solutions.

Skills

Machine Learning

Deep Learning

Generative Models

Computational Chemistry

Protein-Ligand Interaction

Molecular Modelling

Virtual Screening

Education

Degree in Computer Science

Degree in Chemistry

Degree in Physics

Degree in Engineering

Tools

PyTorch

TensorFlow

JAX

Job description

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Hyper Recruitment Solutions provided pay range

This range is provided by Hyper Recruitment Solutions. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

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Head of Recruitment (Biopharma - Perm & Contract)

ROLE 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.

KEY DUTIES AND RESPONSIBILITIES:

Your duties as the Machine Learning Scientist will be varied however the key duties and responsibilities are as follows:

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 improve virtual screening and molecular design workflows.

3. Leverage proprietary structural datasets to train, benchmark, and validate new algorithms.

4. Collaborate closely with cross-functional teams to ensure effective translation of research into production-ready solutions.

ROLE REQUIREMENTS:

To be successful in your application to this exciting role as the Machine Learning Scientist we are looking to identify the following on your profile and past history:

1. 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. 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

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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology, Science, and Other

• Industries

  Biotechnology Research and Pharmaceutical Manufacturing

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