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.

The opportunity

This is a unique opportunity for a Data Scientist (FTC) to work at the intersection of single-cell and spatial biology, applying advanced computational approaches to multi-omics and perturbational data to drive transformative insights in drug discovery.

As a member of the Single Cell & Spatial Omics function, embedded within one of the Machine Learning research teams, you will bring strong data analysis and biological domain expertise to interrogate, challenge, and refine ML models that aim to predict and explain cellular decision-making in health and disease.

Your responsibilities

• Develop and implement robust computational workflows for the integration and analysis of multi-omics datasets, including single-cell and/or spatial modalities.
• Design and apply statistical and computational models for analysing transcriptomics and related omics data.
• Use biological insight and data intuition to design meaningful, challenging evaluation tasks for ML models.
• Collaborate closely with ML researchers to inform and iterate on model architectures and assumptions.
• Partner with experimental scientists to help formulate, test, and validate computational hypotheses.
• Communicate findings clearly through internal presentations and contribute to scientific publications.

Professionally, you have

• A PhD in computational biology, bioinformatics, statistics, physics, mathematics, or a related quantitative discipline.
• Strong experience analysing high-dimensional biological data, including transcriptomics and other omics datasets.
• Proficiency in Python, with experience working in high-performance or cloud computing environments.

Desirable knowledge or experiences

• Experience with single-cell and/or spatial omics data, including patient-derived datasets.
• Familiarity with machine-learning approaches applied to biological data.
• A solid grounding in statistical modelling, algorithm development, or data integration methods.
• Experience working effectively within highly interdisciplinary teams spanning biology, ML, and software engineering.

Personally, you are

• A collaborative, inclusive team player.
• A clear and thoughtful communicator.
• Impact-driven, curious, and motivated to learn.
• Humble, open-minded, and comfortable working in ambiguity.
• Passionate about using data and science to improve 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 Therapeutics is a committed equal opportunities employer. RECRUITMENT AGENCIES: Please note that Relation Therapeutics 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.