Senior/Principal Data Scientist – Cross Indication

Relation; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

Relation, a leading biotech company, is seeking a Senior/Principal Data Scientist to drive insights into drug discovery through advanced data analysis of multi-omics datasets. This role involves collaboration with interdisciplinary teams to develop computational workflows and statistical models while contributing significantly to patient-focused innovative therapies.

Qualifications

• Extensive experience in multi-omics data analysis including transcriptomics.
• Proficiency in Python and familiarity with high-performance computing environments.

Responsibilities

• Develop and implement computational workflows for analyzing multi-omics data.
• Perform data integration to uncover disease mechanisms and identify actionable targets.
• Design statistical models for analyzing various omics datasets.

Skills

Data Integration

Statistical Modeling

Python

Machine Learning

Education

PhD in computational biology, bioinformatics, or related field

Job description

Senior/Principal Data Scientist – Cross Indication

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Senior/Principal Data Scientist – Cross Indication

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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.

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 a unique opportunity for a data scientist to work on multi-omics data to drive transformative insights into drug discovery. As a member of the Cross Indication team, you will contribute to identifying and validating drug targets through advanced data analysis and innovative computational approaches.

The Cross Indication team collaborates across both Relations internal and partnership programmes, applying state-of-the-art computational methods to integrate diverse datasets. By combining biological insights with advanced data analytics, the team drives target discovery and validation initiative.

Your Responsibilities

• Develop and implement computational workflows for analysing multi-omics data.
• Perform data integration to uncover disease mechanisms and identify actionable targets.
• Design statistical models for analysing transcriptomics and other omics datasets.
• Collaborate closely with experimental and machine learning teams to validate computational insights.
• Present findings and methodologies to internal stakeholders and contribute to publications.
  
  

Professionally, you have

• PhD in computational biology, bioinformatics, or a related quantitative field.
• Extensive experience in multi-omics data analysis, including transcriptomics.
• Proficiency in Python and familiarity with high-performance computing environments.
  
  

Desirable Knowledge Or Experiences

• Familiarity with single-cell transcriptomics or patient-derived datasets.
• Experience working in interdisciplinary teams within biotech or pharma settings.
• Knowledge of machine learning techniques applied to biological data.
• A background in statistical modelling and algorithm development.
  
  

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.

RECRUITMENT AGENCIES: Please note that Relation does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation will not be liable for any fees associated with unsolicited CVs.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

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