We are an end-to-end biotech developing transformational medicines, with technology at our core. Our ambition is to understand human biology in an unprecedented way; discovering therapies that will 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.

We are committed to building diverse and inclusive teams. We are an equal opportunities employer and do 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 strive to create an interdisciplinary workplace that cultivates innovation through collaboration, and we empower each of our team members to do their best work and develop to their highest potential.

By joining Relation, you will be part of an exceptionally talented team, you’ll have extraordinary leverage to push the field of drug discovery, and you’ll help us shape our culture and strategic direction. Ultimately, your impact will be felt in patients’ lives.

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

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.

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