Enable job alerts via email!

Data Governance Lead

Relation RX

London

On-site

GBP 60,000 - 95,000

Full time

Yesterday
Be an early applicant

Generate a tailored resume in minutes

Land an interview and earn more. Learn more

Start fresh or import an existing resume

Job summary

Relation RX, une entreprise biotech innovante, recrute un Data Governance Lead pour renforcer sa pratique de gouvernance des données. Ce poste implique la collaboration avec des équipes techniques et scientifiques pour structurer et gérer les données efficacement. Le candidat idéal a une solide expérience en bioinformatique et des compétence en gestion de données, prêt à établir des normes de qualité et à optimiser les processus au sein de l'organisation.

Qualifications

  • Cinq ans d'expérience pertinente dans des domaines de gestion des données.
  • Familiarité avec les standards de métadonnées et les outils de catalogage de données.
  • Connaissance des cycles de vie des données scientifiques.

Responsibilities

  • Définir et mettre en œuvre des normes pour la gestion des métadonnées.
  • Coordonner les efforts de stewardship des données avec les utilisateurs.
  • Établir des politiques de gouvernance efficaces autour des données.

Skills

Coordination interfonctionnelle
Documentation
Gestion des données
Compréhension de Python

Education

Expérience professionnelle en bioinformatique, gestion des données ou ingénierie des données

Tools

Outils de visualisation des données
Plateformes sans code

Job description

Data Governance Lead
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.

The opportunity

Relation is offering an outstanding opportunity for a Data Governance Lead to scale our data governance practice and help make data a shared, trusted, and valuable asset across the company. As Relation grows its scientific and machine learning capabilities, you will play a key role in ensuring that internal datasets are documented, accessible, reusable, and compliant. You will collaborate closely with technical, scientific, and operational teams to build an integrated, actionable data ecosystem, embedding FAIR principles into the way we manage and use data. This role is critical to enabling effective cross-functional collaboration and maximising the value of our internal data assets.

Your responsibilities
  • Define and implement standards for metadata, documentation, structure, format, and ownership to align internal datasets with FAIR principles
  • Coordinate data stewardship efforts with users across Data Science, Machine Learning, Wet Lab & Discovery, and support good data management practices
  • Lead the evolution of the internal data catalogue and drive its adoption across technical and non-technical users
  • Support the implementation of no-code exploration tools for lab and scientific teams
  • Develop processes and solutions to enable decision traceability, knowledge continuity, and robust data documentation
  • Establish effective governance policies around naming, versioning, data lineage, and retention
  • Translate regulatory and licensing requirements into clear, actionable workflows and promote compliance best practices across teams
Professionally, you have
  • A background in bioinformatics and/or scientific data management and/or data engineering and/or product/project management in data domains, with five years of relevant professional experience
  • Familiarity with metadata standards, FAIR principles, and data cataloguing tools
  • Strong cross-functional coordination skills, and an ability to navigate computational, scientific, and compliance contexts
  • A good understanding of Python and modern data workflows
  • Knowledge of scientific data lifecycles, including ingestion, transformation, versioning, and documentation
  • Bonus: exposure to data visualisation tools, no-code platforms, and knowledge management systems
Personally, you are
  • A clear and thoughtful communicator, able to engage with diverse stakeholders across disciplines
  • Structured, pragmatic, willing to get hands-on, and comfortable bringing order and clarity to complex or ambiguous data environments
  • Collaborative by default, with a user-oriented and feedback-driven mindset, and an interest in making data truly usable
  • Curious, autonomous, and proactive, with a strong sense of ownership and a desire to drive continuous improvement
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 Therapeutics is a committed equal opportunities employer.

RECRUITMENT AGENCIES: Please note that Relation Therapeutics does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation Therapeutics will not be liable for any fees associated with unsolicited CVs.
Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.