About Relation
Relation is a sector defining TechBio 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 from patient tissue, functional assays, and machine learning to drive disease understanding, from cause to cure.

We are scaling rapidly and building a team of exceptional individuals to push the boundaries of drug discovery. You will work in highly interdisciplinary teams where biology, computation, and engineering come together to solve complex problems that have not been solved before. Our state-of-the-art wet and dry labs in the heart of London are designed to accelerate this integration and translate insight into impact.

The Opportunity
Relation is offering an outstanding opportunity for an experienced Scientist in Cell Biology to help drive our growing drug discovery portfolio. We are looking for a drug discovery scientist with hands-on experience in experimental design and assay development, data collection, analysis, and interpretation.

In this role, you will be at the forefront of scientific discovery and make a meaningful impact in the field of biology, working at the intersection of science and technology within a rapidly growing TechBio company. You will partner closely with colleagues across Discovery and have the opportunity to develop your skills, work independently, and advance your knowledge base in assay development and optimisation.

Day to Day, You Will

• Design and execute cellular and biochemical assays to support drug discovery, including compound screening and profiling using molecular biology, cell culture, microscopy, and biochemical techniques.
• Maintain primary and immortalised mammalian cell lines, taking responsibility for sample tracking and quality control (QC).
• Monitor laboratory operations, including managing reagent stock levels, equipment maintenance, and adherence to good laboratory practice.
• Carry out data analysis and relevant quality assurance protocols.
• Communicate the outcomes of your work to team members and external parties through written and verbal reports.
• Proactively identify potential project issues and communicate proposed solutions to the team.
• Contribute to the development and implementation of new technologies, workflows, and operational infrastructure.
• Stay up to date with relevant scientific literature and incorporate new findings into research project planning and experimental design.
• Collaborate closely with cross-functional colleagues across Biology, Machine Learning, Translational Sciences, Toxicology, DMPK, and related disciplines to help solve complex scientific challenges and accelerate programme delivery.

Professionally, You Will Have

• PhD in a Biological Science with relevant experience within a drug discovery function. Recently graduated PhD candidates are also welcome to apply.
• Prior experience working within biotech, pharmaceutical, or CRO environments.
• Strong practical experience in cell culture techniques, including cell line generation.
• Ability to develop cellular, molecular biology, and immunological assays to characterise cell phenotypes, e.g. flow cytometry, RT-qPCR, ELISA, etc.
• Hands-on experience with high-content imaging instrumentation and software.
• Experience with ‘walk-up’ automated laboratory systems (e.g. liquid handling).
• Competence in data handling, curve fitting, and statistical analysis.
• Experience with industry-standard record keeping.
• Excellent interpersonal and communication skills, with the ability to thrive in a collaborative, cross-functional, matrixed environment.

Bonus Experience

• Working with ’omics experiments and datasets.
• Generating knock-out/knock-in cell lines using siRNA and CRISPR.
• Working in indications relevant to Relation (e.g. osteoporosis) and with a range of modalities in addition to small molecules.

Relation is a committed equal opportunities employer and does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age.