Head of Genomic Data Platforms

3 days ago

Oxford Oxfordshire, United Kingdom Hlx Life Sciences Full time

Job Summary:

We’re seeking to hire a Head of Data Platforms to lead the architecture and development of our transformative Pathogenic Data Research Platform.

This role is central to revolutionizing the diagnosis and treatment of infectious diseases through Whole Genome Sequencing-based analytics . You’ll work alongside top scientists and engineers, leading the design of a secure, scalable, and innovative data platform for managing sensitive genomic, clinical, and laboratory data.

Key Responsibilities:

  • Ensure the platform adheres to all relevant legal, security, and regulatory frameworks, including data protection laws (e.g., GDPR) and secure handling of sensitive patient and genomic data.
  • Collaborate with the Science Team and other internal stakeholders to ensure the platform meets their research and data access requirements. Support external academic, clinical, and commercial partnerships to enhance platform utility and integration.
  • Work with scientific and technical teams to define, prioritise, and deliver platform improvements to optimise data ingestion, processing, discoverability, and accessibility.
  • Oversee the platform’s operations, including data governance, security monitoring, disaster recovery planning, and performance optimisation.
  • Build and lead a multidisciplinary team of data engineers and platform architects to execute the platform strategy effectively.
  • Work closely with the Senior Leadership Team to define platform strategy and contribute to the broader objectives of the Pathogen Programme.

Essential Knowledge, Skills and Experience:

  • Proven experience in designing, building, and maintaining large-scale, data platforms, with a focus on scalability, security, and performance.
  • In-depth understanding of data standards and data systems for genomic, clinical, or laboratory data, with hands-on expertise in at least one of these domains.
  • Understanding of solutions and challenges in managing a globally distributed data set for federated learning and scientific research.
  • Strong knowledge of data protection laws and secure data handling, including experience implementing secure environments such as Trusted Research Environments (TREs).
  • Experience leading teams of engineers or platform specialists to deliver complex technical projects.
  • Demonstrated ability to work effectively with diverse teams, including scientists, engineers, legal professionals, and external partners.
  • Strong skills in project planning, delivery, and communication, with a results-driven approach.

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