Machine Learning Scientist - Graph/Reinforcement Learning/LLMs

London

About Relation

Relation is an end-to-end biotech developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life’s most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding, from cause to cure.

This year, we’ve embarked on an exciting double collaboration with GSK to tackle fibrosis and osteoarthritis, alongside advancing our own internal osteoporosis programme. By combining our cutting-edge ML capabilities with their deep expertise in drug discovery, this partnership underscores our commitment to pioneering science and delivering impactful therapies to patients.

We are rapidly scaling our technology and discovery teams, offering a unique opportunity to join one of the most innovative TechBio companies. Be part of our dynamic, interdisciplinary teams, collaborating closely to redefine the boundaries of possibility in drug discovery. Our state-of-the-art wet and dry laboratories, located in the heart of London, provide an exceptional environment to foster interdisciplinarity and turn groundbreaking ideas into positive impact for patients.

We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. We cultivate innovation through collaboration, empowering every team member to do their best work and develop to their highest potential.

By joining Relation, you will be part of an exceptionally talented team, with extraordinary leverage to advance the field of drug discovery. Your work will shape our culture, strategic direction, and, most importantly, impact patients’ lives.

Opportunity

Join the Turing team as a Machine Learning Scientist, where you will develop cutting-edge ML methods, including graph machine learning, reinforcement learning, and large language models (LLMs). This role is ideal for a technically skilled ML expert with experience in applying these areas of machine learning to complex data challenges. 

The team you will become part of

The Turing team focuses on leveraging advanced machine learning techniques, such as graph ML, recommender systems and multi-agent reasoning systems, to transform drug discovery. The team’s work integrates computational insights across diverse domains, accelerating therapeutic development and improving decision-making in Target Discovery and Validation.

Your responsibilities

• Design and implement graph-based, reinforcement learning, and LLMs-based models for drug discovery applications.

• Collaborate with interdisciplinary teams to translate ML approaches into actionable insights.

• Develop scalable computational frameworks for analysing large-scale biological and clinical data.

• Contribute to the broader ML community through research publications and conference presentations.

• Ensure delivery of high-quality ML projects by adhering to best practices and modern engineering standards.

Professionally, you have

• PhD in machine learning, data science, or a related field, or equivalent industrial experience.

• Expertise in graph machine learning, reinforcement learning, and LLMs.

• Proficiency in Python and frameworks like PyTorch.

• Experience developing scalable ML solutions for complex datasets.

• A track record of delivering ML projects in industry or academia.

Desirable knowledge or experiences

• Exposure to recommendation systems and/or multi-agent setups.

• Familiarity with integrating ML techniques into drug discovery pipelines.

Personally, you are

• Inclusive leader and team player.

• Clear communicator.

• Driven by impact.

• Humble and hungry to learn.

• Motivated and curious.

• Passionate about making a difference in patients’ lives.

Join us in this exciting role where your contributions will have a direct impact on advancing our understanding of genetics and disease risk, supporting our mission to get transformative medicines to patients. Together, we're not just doing research; we're setting new standards in the field of machine learning and genetics. The patient is waiting!

Relation is a committed equal opportunities employer.

RECRUITMENT AGENCIES: Please note that Relation does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation Therapeutics will not be liable for any fees associated with unsolicited CVs.