Senior/Principal Data Scientist – Cross Indication

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

Job summary

Join a pioneering TechBio company as a Senior/Principal Data Scientist, where you will leverage your expertise in multi-omics data analysis to drive transformative insights in drug discovery. This role offers a unique opportunity to work within a dynamic team, collaborating across internal and partnership programs to identify and validate drug targets using advanced computational methods. You'll be at the forefront of innovative research, making a significant impact on patient outcomes while fostering a culture of inclusivity and collaboration. If you are passionate about using your skills to advance the field of drug discovery, this is the perfect opportunity for you.

Qualifications

• PhD in computational biology or bioinformatics with extensive multi-omics analysis experience.
• Proficient in Python and familiar with high-performance computing environments.

Responsibilities

• Develop computational workflows for analyzing multi-omics data.
• Collaborate with teams to validate computational insights and present findings.

Skills

Multi-omics data analysis

Statistical modeling

Python programming

Data integration

Machine learning techniques

Education

PhD in computational biology

PhD in bioinformatics

PhD in a related quantitative field

Tools

High-performance computing

Job description

Senior/Principal Data Scientist – Cross Indication

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 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 initiatives.

Your responsibilities

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

Professionally, you have

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

Desirable knowledge or experiences

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

Personally, you are

1. Inclusive leader and team player.
2. Clear communicator.
3. Driven by impact.
4. Humble and hungry to learn.
5. Motivated and curious.
6. Passionate about making a difference in patients’ lives.

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.