Senior/Principal Data Scientist – Turing (LLM’s, KGs & Graph)
Senior/Principal Data Scientist – Turing (LLM’s, KGs & Graph)

Senior/Principal Data Scientist – Turing (LLM’s, KGs & Graph)

London Full-Time 54000 - 84000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Drive data-driven drug discovery using advanced computational technologies like LLMs and knowledge graphs.
  • Company: Relation is a pioneering biotech company focused on transformative medicines and innovative drug discovery.
  • Benefits: Join a diverse team in state-of-the-art labs, with opportunities for collaboration and personal growth.
  • Why this job: Make a real impact on patients' lives while working at the forefront of machine learning and genetics.
  • Qualifications: PhD in computational biology or related field; expertise in LLMs, KGs, and Python required.
  • Other info: Be part of an inclusive culture that values innovation and empowers every team member.

The predicted salary is between 54000 - 84000 £ per year.

Senior/Principal Data Scientist – Turing (LLM’s, KGs & Graph)

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

Be part of the innovative Turing team, where you will leverage advanced computational technologies such as large language models (LLMs) and knowledge graphs (KGs). As a Senior/Principal Data Scientist, you will play a pivotal role in driving data-driven drug discovery through these cutting-edge approaches.

The Turing team integrates computational and biological expertise to utilise knowledge graphs and Large Language Models in drug discovery. By connecting diverse datasets and computational outputs, the team enhances decision-making in target prioritisation and therapeutic development.

Your responsibilities

  • Develop and apply Graph and LLM base solutions/methods for drug target identification and validation.

  • Integrate insights from omics and clinical data using graph-based models.

  • Collaborate with interdisciplinary teams to align computational approaches with research goals.

  • Design workflows to extract actionable insights from large-scale datasets.

  • Advance methodologies for computational drug discovery using graph-based techniques.

Professionally, you have

  • PhD in computational biology, data science, or a related field.

  • Expertise in LLMs, KGs, multi-agent reasoning systems or graph-based computational techniques.

  • Proficiency in Python and frameworks for handling large-scale datasets.

  • Strong understanding of the drug discovery pipeline and computational modelling.

Desirable knowledge or experiences

  • Experience integrating graph-based approaches with multi-omics data.

  • Familiarity with graph database systems and their applications in biology.

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.

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Senior/Principal Data Scientist – Turing (LLM’s, KGs & Graph) employer: Relation Therapeutics Limited

Relation is an exceptional employer, offering a unique opportunity to work at the forefront of biotech innovation in the heart of London. With a strong commitment to diversity and inclusion, we foster a collaborative work culture that empowers our team members to excel and grow professionally. By joining us, you will be part of a talented interdisciplinary team dedicated to transforming drug discovery and making a meaningful impact on patients' lives.
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Contact Detail:

Relation Therapeutics Limited Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior/Principal Data Scientist – Turing (LLM’s, KGs & Graph)

Tip Number 1

Familiarize yourself with the latest advancements in large language models (LLMs) and knowledge graphs (KGs). Understanding how these technologies are applied in drug discovery will give you a significant edge during discussions with our team.

Tip Number 2

Showcase your experience with graph-based computational techniques. Be prepared to discuss specific projects where you've integrated these methods, especially in relation to multi-omics data.

Tip Number 3

Highlight your collaborative skills. Since this role involves working closely with interdisciplinary teams, be ready to share examples of how you've successfully collaborated with others to achieve research goals.

Tip Number 4

Express your passion for making a difference in patients' lives. Our mission is centered around impactful therapies, so demonstrating your commitment to this cause will resonate well with our values.

We think you need these skills to ace Senior/Principal Data Scientist – Turing (LLM’s, KGs & Graph)

PhD in computational biology, data science, or a related field
Expertise in Large Language Models (LLMs)
Knowledge Graphs (KGs) proficiency
Experience with multi-agent reasoning systems
Graph-based computational techniques
Proficiency in Python
Experience with frameworks for handling large-scale datasets
Strong understanding of the drug discovery pipeline
Computational modelling skills
Experience integrating graph-based approaches with multi-omics data
Familiarity with graph database systems
Clear communication skills
Team collaboration and leadership
Impact-driven mindset
Curiosity and motivation to learn
Passion for improving patient outcomes

Some tips for your application 🫡

Understand the Company: Before applying, take some time to research Relation and their innovative work in drug discovery. Familiarize yourself with their projects, especially the collaboration with GSK, to demonstrate your genuine interest in their mission.

Tailor Your CV: Highlight your relevant experience in computational biology, data science, and specifically your expertise in LLMs and KGs. Make sure to include any projects or roles that showcase your ability to drive data-driven drug discovery.

Craft a Compelling Cover Letter: In your cover letter, express your passion for making a difference in patients' lives and how your skills align with the responsibilities of the Senior/Principal Data Scientist role. Mention specific examples of your work with graph-based models or large-scale datasets.

Showcase Your Teamwork Skills: Since the role emphasizes collaboration within interdisciplinary teams, provide examples of past experiences where you successfully worked in a team setting. Highlight your communication skills and your ability to align computational approaches with research goals.

How to prepare for a job interview at Relation Therapeutics Limited

Showcase Your Technical Expertise

Be prepared to discuss your experience with large language models (LLMs) and knowledge graphs (KGs). Highlight specific projects where you've applied these technologies, especially in drug discovery or computational biology.

Demonstrate Interdisciplinary Collaboration

Relation values teamwork across disciplines. Share examples of how you've successfully collaborated with biologists, data scientists, or other professionals to achieve research goals. Emphasize your ability to align computational approaches with biological insights.

Communicate Clearly and Effectively

As a clear communicator, practice explaining complex concepts in simple terms. This will be crucial during the interview, especially when discussing your methodologies or findings. Make sure to engage your interviewers by encouraging questions.

Express Your Passion for Impact

Relation is driven by making a difference in patients' lives. Convey your motivation and curiosity about the field, and share why you are passionate about using technology to advance drug discovery and improve patient outcomes.

Senior/Principal Data Scientist – Turing (LLM’s, KGs & Graph)
Relation Therapeutics Limited
R
  • Senior/Principal Data Scientist – Turing (LLM’s, KGs & Graph)

    London
    Full-Time
    54000 - 84000 £ / year (est.)

    Application deadline: 2027-03-27

  • R

    Relation Therapeutics Limited

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