Machine Learning Scientist - Sequence Modelling

About RelationRelation 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 program.

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 partnership 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.The OpportunityAs a Machine Learning Scientist within the Rosalind team, you will design and apply advanced machine learning techniques to DNA and genetic data.

This role is ideal for someone with a strong machine learning background and an interest in genetics. Your work will directly contribute to uncovering non-trivial associations between genetic variants and diseases, ultimately advancing therapeutic discovery.The Team You Will JoinThe Rosalind team aims to extract useful insights through representations of DNA, whether related to variants, genes or the regulatory mechanisms in between. Sitting at the forefront of ML for genomics, the team develops models that help uncover meaningful biological signals from DNA and turn them into foundations for our target discovery pipelines.The team also has a strong track record of publishing at major ML venues, including winning a Best Paper award for PatchDNA at the NeurIPS AI4D3 workshop and publishing recently in the main conference track at ICLR: https://iclr.cc/virtual/2026/poster/10011056.It’s an exciting opportunity to contribute to cutting-edge research, advance representation learning for DNA, and help build state-of-the-art models for understanding biology and disease.

Your Responsibilities

Develop and apply sequence modelling machine learning techniques to DNA sequencesTrain, fine-tune and evaluate DNA sequence models for tasks including variant interpretation, gene discovery and regulatory modellingCollaborate with computational and experimental scientists to generate and validate ML-driven hypothesesLeverage large-scale external and internal datasets to build and adapt models for disease-focused applicationsDesign robust evaluations to measure model quality, biological relevance and translational valueContribute to scientific innovation by applying the latest advances in machine learning and genomics.Professionally, You HaveA PhD in machine learning, computational biology, or a related field, or equivalent industrial experienceDemonstrated experience applying machine learning techniques to biological sequences or textProficiency in Python and at least one ML platform (e.g.

PyTorch, TensorFlow)

Flexibility and the ability to tackle new challenges at the intersection of biology and machine learning.Desirable Knowledge or ExperienceExperience applying machine learning to biological sequences, including DNA or proteinsStrong understanding of transformers and their applications in biomedical researchKnowledge of lab-in-the-loop frameworks and integration of ML techniques with experimental data.Personally, You AreAn inclusive leader and team playerA clear communicatorDriven by impactHumble and eager to learnMotivated and curiousPassionate about making a difference in patients’ livesJoin 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 bring 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 AgenciesPlease note that Relation does not accept unsolicited CVs from agencies.

CVs should not be forwarded to our job aliases or employees. Relation Therapeutics will not be liable for any fees associated with unsolicited CVs.Find Jobs in United Kingdom on Arbeitnow