Challenge Works - Home of the Longitude Prize
Health Data Innovation Lead
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Salary: Circa £66,800, plus excellent benefits
Closing date: 3 Aug 2026, 8 a.m.
Permanent 37.5 hours
Blackfriars, London - hybrid working
We are hiring a Health Data Innovation Lead - Challenge Works
Challenge Works is looking for an experienced health data specialist with strong technical expertise and programme delivery skills to support the delivery of innovative health data programmes focused on neurodegenerative diseases.
Working within a team of innovation specialists at Challenge Works and alongside data and technology partners, the role will support the delivery of data components across a portfolio of health innovation programmes. These include the £8 million Longitude Prize on ALS, which is using advanced data and AI approaches to accelerate discovery in ALS, as well as new programmes exploring how health, genomic, lifestyle and environmental data can be used to support the prevention and early detection of neurodegenerative diseases.
The role will focus on ensuring that health datasets are prepared, supported and accessible for innovators, enabling them to use complex data effectively in the development of new research and technology solutions. This will include supporting data readiness activities, improving dataset documentation and usability, coordinating access processes, and working directly with innovation teams to understand their data needs and provide technical guidance.
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The successful candidate will act as a technical bridge between innovators, data providers and programme teams — helping to translate data requirements, troubleshoot challenges and ensure that datasets and supporting resources enable successful challenge delivery.
We are looking for a candidate who combines technical expertise in biomedical and health data with excellent communication skills and an ability to support the practical delivery of data-driven innovation programmes. They will have the technical understanding to assess, prepare and improve health datasets for research and innovation, while being able to work closely with innovators to understand their requirements and provide appropriate support.
The candidate should have experience working with complex health datasets and an understanding of the processes required to make data accessible, well-documented and fit-for-purpose. This may include data harmonisation, metadata development, data quality assessment, data linkage approaches, and preparing datasets for AI and computational research applications.
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The role requires a broad understanding of biomedical, healthcare or health data research environments. Experience working with neurodegenerative disease, genomics, clinical datasets, AI applications in healthcare or research data infrastructures would be beneficial.
This is a unique opportunity to work at the intersection of health data and innovation, supporting researchers and technology developers to access and use high-quality datasets to develop solutions with the potential to transform how we understand, prevent and treat disease.
Increasingly, advances in artificial intelligence, machine learning and data science are transforming what is possible across many areas of society. In many cases, access to high-quality, well-curated and responsibly governed data is critical to unlocking new discoveries and enabling innovation.
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