Machine Learning Scientist – Ada
London
About Relation
Relation is an end-to-end biotech company 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 embarked on an exciting dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing our own internal osteoporosis programme. By combining our cutting-edge ML capabilities with GSK’s 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 impactful therapies 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 reach their highest potential.
By joining Relation, you will become 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
As a Machine Learning Scientist within the Ada team, you will focus on designing and applying machine learning techniques to advance our understanding of gene regulatory networks and cellular biology. This role is ideal for someone with a strong background in statistics and machine learning, coupled with an interest in biology. You will work on solving complex problems in transcriptomics, pathway analysis, and gene regulatory modelling.
The team you will become part of
The Ada team specialises in using single-cell transcriptomics and computational biology to advance therapeutic discovery. By integrating biological data with machine learning techniques, the team develops innovative approaches to uncovering pathways and understanding disease mechanisms.
Your responsibilities
- Develop and apply machine learning techniques to gene regulation networks and cellular biology challenges.
- Collaborate with computational biologists and experimental teams to design and validate ML-driven hypotheses.
- Implement statistical and ML models for pathway analysis and single-cell transcriptomics.
- Contribute to the integration of machine learning methods within the lab-in-the-loop framework.
- Stay at the forefront of ML and biological research to inform and innovate in computational methods.
Professionally, you have
- PhD in machine learning, computational biology, or a related field, or equivalent industrial experience.
- Strong background in statistics and machine learning applications in biology.
- Experience with cellular biology, gene regulation networks, and pathway analysis.
- Proficiency in Python and at least one ML platform (e.g., PyTorch, TensorFlow).
- Flexibility and the ability to learn and solve new challenges across biology and ML.
Desirable knowledge or experiences
- Experience with single-cell transcriptomics or similar biological data.
- Knowledge of lab-in-the-loop frameworks and experimental integration.
- Exposure to generalist ML techniques and problem-solving approaches.
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 directly impact advancing our understanding of genetics and disease risk, supporting our mission to deliver transformative medicines to patients. Together, we’re not just conducting research—we’re setting new standards in the fields of machine learning and genetics. The patient is waiting!
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