Senior/Principal Data Scientist – Ada

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

Job summary

Join a pioneering TechBio company as a Senior/Principal Data Scientist, where your expertise in computational biology and machine learning will be instrumental in advancing drug discovery. This role offers a unique opportunity to work with cutting-edge technology in a collaborative environment focused on understanding gene regulation and therapeutic discovery. You will lead efforts in modeling biological perturbations and contribute to innovative workflows that drive experimental validation. Be part of a diverse and inclusive team dedicated to making a significant impact on patients' lives through transformative medicines. Your contributions will help set new standards in genetics and machine learning, shaping the future of healthcare.

Qualifications

• PhD in computational biology or equivalent industry experience required.
• Extensive experience with single-cell transcriptomics and pathway analysis.

Responsibilities

• Develop computational methods to analyze single-cell transcriptomics data.
• Collaborate with teams to design and validate computational hypotheses.

Skills

Python

Machine Learning

Computational Biology

Gene Regulation

Pathway Analysis

Education

PhD in Computational Biology

Equivalent Industry Experience

Tools

Single-cell Transcriptomics

Pathway Inference Tools

Job description

Senior/Principal Data Scientist – Ada

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

Join the Ada team to explore the frontiers of transcriptomics and systems biology. As a Senior/Principal Data Scientist, you will focus on modelling biological perturbations and advancing our understanding of gene regulation, driving innovation in therapeutic discovery.

The Ada team specialises in using single-cell transcriptomics and computational biology to identify and validate therapeutic targets. By integrating experimental and computational approaches, the team aims to uncover pathways and gene interactions critical to disease understanding.

Your responsibilities

1. Develop computational methods to analyse single-cell transcriptomics data.
2. Collaborate with experimental teams to design and validate computational hypotheses.
3. Model gene regulation and biological perturbations to inform target discovery.
4. Lead efforts in pathway inference and advanced data integration methods.
5. Contribute to computational workflows that drive experimental validation efforts.

Professionally, you have

1. PhD in computational biology, bioinformatics, systems biology or equivalent industry experience.
2. Extensive experience with single-cell transcriptomics and pathway analysis.
3. Proficiency in Python and machine learning applications in biology.
4. Strong understanding of systems biology and gene regulatory networks.

Desirable knowledge or experiences

1. Experience designing computational models for biological validation.
2. Familiarity with pathway inference tools and systems biology frameworks.

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 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.