Data Scientist/ Comp Biologist - PhD Graduate - 12 month consulting contract
London
About Relation
Relation is an end-to-end biotech 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've embarked on an exciting double collaboration with GSK to tackle fibrosis and osteoarthritis, alongside advancing our own internal osteoporosis programme. By combining our cutting-edge ML capabilities with their 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 positive impact 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 develop to their highest potential.
By joining Relation, you will be 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 recent PhD graduates to transition into the industry and contribute to cutting-edge computational biology projects. Over a 12-month period, you will gain hands-on experience in applying computational techniques to real-world challenges.
As part of the Cross Indication team, you will work across multiple programme areas, applying computational methods to multi-omics data. This team supports target identification and validation efforts, combining biological insights with state-of-the-art computational tools.
Your responsibilities
- Perform computational analyses on multi-omics datasets to support target discovery efforts.
- Collaborate with cross-functional teams to integrate computational findings into experimental workflows.
- Develop and refine computational pipelines for data analysis and visualisation.
- Contribute to advancing methodologies for interpreting complex biological datasets.
Professionally, you have
- PhD in computational biology, bioinformatics, or a related field.
- Proficiency in Python for data analysis and computational modelling.
- Strong problem-solving and analytical skills in handling biological data.
- Ability to work effectively in interdisciplinary teams.
Desirable knowledge or experiences
- Experience with single-cell data analysis.
- Familiarity with machine learning techniques in biological contexts.
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.
Additional details
This position is available as acontractor rolevia Hlx Life Sciences services (inside IR35), remunerated on a daily rate.
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 is a committed equal opportunities employer.
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