Head of Data Acquisition and Governance

About Relation Therapeutics

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.

As the Head of Data Acquisition and Governance, you will report to the Chief Technology Officer (CTO) and 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.

The opportunity

• Develop, implement, and oversee a comprehensive data strategy that positions data as a critical asset for Relation's research and business initiatives.

• 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 organization, including Data Science, Machine Learning, Computational Biology, Bioinformatics, and our Wet Lab teams, to ensure data is accessible, standardized, and optimized for scientific discovery and innovation.

• Guide the creation of data systems that supports scalable and efficient data operations.

• Drive external relationships with academic consortia, data providers, and industry partners to continuously expand Relation’s data ecosystem.

Your Responsibilities

• Data Strategy: Define and execute Relation’s data strategy in partnership with key stakeholders, ensuring data is a key enabler for drug discovery and research.

• 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.

• Data Management: Create and maintain data catalogues, define data standards and ontologies, and ensure proper metadata and data lineage tracking.

• 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.

• 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 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).

• Extensive experience with data management and acquisition in the life sciences, including working with large biobanks and public databases. (7 years + experience)

• Demonstrated success in leading data acquisition, curation, and quality assurance efforts in a research or drug discovery setting.

• Deep understanding of various data types and ontologies, including -omics, imaging, and clinical data.

• Proven experience with data governance frameworks and ensuring compliance with data protection regulations.

• Ability to lead cross-functional initiatives and manage stakeholder relationships across a wide range of scientific and technical disciplines.

• Familiarity with bioinformatics tools and cloud-based data management platforms.

• Experience working with machine learning teams and an understanding of data needs for model development.

• Experience with large-scale data integration efforts, biobanks like UK Biobank, or databases such as dbGaP.

• Fluency in Python, R, or similar programming languages, and experience in cloud environments.

• Knowledge of FAIR data principles and experience implementing data governance strategies in compliance with industry standards.

Personally, you are:

• Collaborative team player with a strong desire to drive impact.

• An excellent communicator and are comfortable presenting complex data strategies to both technical and non-technical stakeholders.

• Detail-oriented, curious, and passionate about using data to drive scientific innovation.

• Comfortable and thrive in fast-paced, dynamic environments

• Driven by impact, motivated and curious

• Humble and hungry to learn and have a strong sense of accountability

• Passionate about making a difference in patients’ lives