Data Scientist / Computational Biologist - Statistical Genomics (12-month contract)

Relation RX; London; On-site; GBP 125,000 - 150,000; Full time

Job summary

Join a leading biotech company as a Data Scientist in London, working on cutting-edge computational biology and statistical genomics projects. This 12-month contract role offers a unique opportunity to contribute to drug discovery efforts through advanced data analysis and collaboration across diverse teams. You will apply your PhD-level expertise in a dynamic environment focused on transforming patient outcomes and advancing scientific knowledge.

Qualifications

• PhD-qualified in statistical genetics, computational biology, or bioinformatics.
• Proficiency in Python or R for data analysis.
• Experience with genetic association studies.

Responsibilities

• Perform computational analyses on genomic datasets.
• Apply statistical genetics techniques to infer disease mechanisms.
• Develop scalable computational pipelines for genomics data.

Skills

Python

Statistical Genetics

Computational Biology

Data Analysis

Collaboration

Education

PhD in Statistical Genetics, Computational Biology

Job description

Data Scientist / Computational Biologist - Statistical Genomics (12-month contract)

Location: 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 PhD qualified candidate to contribute to cutting-edge computational biology projects. Over a 12-month period, you will gain hands-on experience applying statistical genetics and computational methods to real-world therapeutic discovery challenges.

As part of the Cross Indication team, you will work across multiple programme areas, applying computational techniques to multi-omics data. This team supports target identification and validation efforts, combining biological insights with state-of-the-art statistical and computational tools.

Your responsibilities
• Perform computational analyses on genomic and multi-omics datasets to support target discovery efforts.
• Apply statistical genetics techniques to infer causal mechanisms in disease.
• Collaborate with cross-functional teams to integrate findings into experimental workflows.
• Develop and maintain scalable computational pipelines for genetic and functional genomics data.
• Contribute to the development of new methodologies for interpreting complex biological data.

Professionally, you have
• A PhD in statistical genetics, computational biology, bioinformatics, or a related discipline.
• Proficiency in Python (or R) for data analysis and computational modelling.
• Solid understanding of genetic association studies (e.g. GWAS, PheWAS) and statistical frameworks.
• Experience applying methods such as LD score regression, polygenic risk scoring, fine-mapping, or Mendelian randomisation.
• A preference for candidates who have applied statistical genomics in a drug discovery, target validation, or therapeutic context.

Personally, you are
• An inclusive collaborator and team player.
• A clear and confident communicator.
• Curious, motivated, and eager to learn.
• Impact-driven and passionate about improving patient outcomes.
• Comfortable working in dynamic, fast-paced environments.

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!

Note: This position is offered as a 12-month contractor role via Hlx Life Sciences' services (inside IR35), remunerated on a daily rate.

Recruitment Agencies: Please note that Relation does not accept unsolicited resumes. CVs sent to job aliases or employees will not be considered, and Relation Therapeutics will not be liable for any associated fees.