Director/Senior Director, Data Strategy

About the role

As the Head of Data Strategy, you will play a pivotal role in shaping and executing the company's data strategy, ensuring that Relation can leverage the full value of its data assets. This is a unique opportunity to lead the charge in building and governing the data foundations that will fuel the next generation of drug discovery at Relation. Develop, implement, and oversee a comprehensive data strategy that positions data as a critical and compounding asset for Relation's research and business initiatives. This will include every aspect of data management, governance and acquisition and will involve working closely with the VPs of Engineering and Data Science and the CTO. Lead the acquisition, integration, and governance of high-quality datasets from diverse sources, including open-access platforms, biobanks, proprietary studies, and external partnerships. Ensure the highest standards of data quality, security, and compliance with relevant regulatory frameworks. Collaborate closely with teams across the organisation, including Data Science, Machine Learning, Computational Biology, Bioinformatics, and our Wet Lab teams, to ensure data is accessible, standardised, and optimised for scientific discovery and innovation. Guide the creation of data systems that support scalable and efficient data operations. Drive external relationships with academic consortia, data providers, and industry partners to continuously expand Relation's data ecosystem.

Responsibilities

• Data Strategy: Define and execute Relation's data strategy in partnership with key stakeholders, ensuring that Relation's data is a compounding asset that supports all aspects of drug discovery, research and development.
• Data Management: Create and maintain data catalogues, define data standards and ontologies, and ensure proper metadata and data lineage tracking.
• Data infrastructure: Work closely with the VP Engineering to guide the development of a robust data infrastructure in a rapidly scaling TechBio
• Collaboration: Work closely with interdisciplinary teams, such as machine learning engineers, bioinformaticians, and scientists, to ensure data is ready for use in research and drug discovery.
• Data Acquisition: Procure and integrate external datasets (e.g. UK Biobank, public databases) and manage data partnerships to enrich Relation's data ecosystem.
• Governance: Implement data governance policies that ensure responsible, secure, and compliant data usage, aligning with evolving regulatory requirements.
• Quality Assurance: Lead data curation efforts, ensuring the quality and integrity of data assets across multiple domains including omics, imaging, and clinical data.
• Team Leadership: Build and manage a high-performing data strategy, governance and acquisition team, fostering a culture of excellence and continuous improvement.
• Professionally, you have:
• A graduate degree in Bioinformatics, Computer Science, Computational Biology, or a related field (PhD preferred).
• Demonstrated success in leading data strategy, including planning and execution in a matrix environment
• Extensive experience with data strategy, management and acquisition in the life sciences, preferably including working with large biobanks and public databases. (7 years + experience)
• Familiarity with data management, storage and processing tools and cloud-based data management platforms
• Ideally, fluency in writing functioning code for a variety of tasks (such as data pipelines), including the skilled use of modern coding agents. Basic knowledge of computer science concepts sufficient to understand important concepts including latency, throughput, bottlenecks, race conditions etc.
• Experience of acquisition, curation, and quality assurance efforts in research or drug discovery or a similar regulated setting
• Deep understanding of various data types and ontologies, including

Additional Information

Location: London Relation Therapeutics 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 that will treat some of life's most devastating diseases. We leverage single-cell and multi-omics measurements directly from patient tissue, functional assays, and machine learning to drive disease understanding - from cause to cure. Our medicines are born from high-resolution biology, machine learning, and clinical insights. At the heart of our discovery engine is our Lab-in-the-Loop , which seamlessly integrates single-cell analysis, genomics, and machine learning. This powerful technology allows us to identify druggable targets and develop transformational medicines. Interdisciplinary collaboration. Immense impact. Led by experienced drug developers, computational scientists, and entrepreneurs with backgrounds in biotech, pharma, venture, and academic research, we are driven by a shared hunger to transform drug development - because the patient is waiting.

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