Senior/Principal Bioinformatics Engineer
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
This is an exciting opportunity for a Data Scientist/Computational Biologist with a focus on bioinformatics engineering. You will focus on building robust tools and pipelines that empower Relation's data scientists and experimental teams. As part of the Cross Indication team, you will play a critical role in enhancing the infrastructure needed to drive cutting-edge drug discovery.
The Cross Indication team develops computational tools and pipelines in order to analyse large-scale biological datasets. The team's engineering efforts ensure the scalability and reproducibility of data workflows, enabling seamless integration of computational and experimental insights.
Your responsibilities
- Design and implement scalable computational tools for multi-omics data analysis.
- Collaborate with data scientists to optimise computational pipelines.
- Develop and maintain bioinformatics infrastructure to support high-throughput analyses.
- Integrate and visualise large datasets to inform drug discovery efforts.
- Stay updated on the latest developments in bioinformatics and data engineering.
Professionally, you have
- PhD in bioinformatics, computational biology, or software engineering.
- Proficiency in Python and experience in building bioinformatics tools.
- Strong understanding of multi-omics datasets and data processing techniques.
- Experience with cloud-based computing and scalable data infrastructure.
Desirable knowledge or experiences
- Familiarity with containerisation tools like Docker or Kubernetes.
- Experience with workflow management tools like Nextflow or Snakemake.
- Knowledge of modern software development practices, including CI/CD.
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!
Relation is a committed equal opportunities employer.
#J-18808-Ljbffr
