This prestigious fellowship, hosted at the Wellcome Sanger Institute and supported by Google DeepMind, represents a unique collaboration at the frontier of biological science and artificial intelligence. The fellowship is designed for researchers who want to apply advanced machine learning and AI techniques to the vast datasets generated by modern genomics. The goal is to accelerate discoveries in human health, disease mechanisms, and evolutionary biology by leveraging DeepMind’s world-leading AI expertise alongside Sanger’s unparalleled genomic sequencing and analysis capabilities.

Fellows are embedded within the Wellcome Sanger Institute’s world-class research environment in Hinxton, UK, while maintaining a close connection to Google DeepMind. This “best of both worlds” approach provides access to massive-scale genomic data, high-performance computing resources, and a community of experts in both fields. The fellowship is highly flexible, allowing researchers to pursue ambitious, high-risk projects that could redefine our understanding of the genome. It is an ideal role for those looking to lead the next wave of AI-driven breakthroughs in the life sciences.

Target Audience: Postdoctoral researchers or equivalent professionals with a deep technical background in machine learning, computational biology, or genomics. Candidates should have a track record of innovative research at the intersection of these fields.

Geographic Eligibility: Hinxton, Cambridgeshire, UK (In-person/Hybrid).

Tangible Benefits: A highly competitive salary and benefits package, access to proprietary DeepMind tools and Sanger genomic data, significant research autonomy, and a unique position at the intersection of academia and industry.

Application Deadline: Rolling (Check the Workday portal for current status; typically 4-6 weeks from posting).

Program Timeline: Multi-year fellowship (typically 2-3 years).

Location : Hinxton, Cambridgeshire, UK

Categories : Machine Learning . Others

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