Director of Machine Learning – Foundation Models
London
Hybrid
We are looking for a motivated, experienced leader in the Machine learning and AI space to join this company in their mission to reimagine how drug are discovered.
You will recruit and lead a team focused on building AI foundation models of biology that learn from massive amounts of data, and transfer across several; diseases, tissue/cell types, and data types.
The team you hire will be focused on genomics foundation models, patient representation learning, and perturbation modelling. We are looking for scientists, strategists, and builders – someone who thrives at the intersection of AI/ML, biology, and leadership.
Your responsibilities may include:
- Defining research agenda for foundation models applied to functional genomics
- Designing novel architectures for multi-modal biological data integration (genomics, transcriptomics, proteomics, clinical)
- Developing self-supervised learning approaches for omics and clinical data
- Collaborate on joint research programme to build architectures where learned representations support causal identifiability
- Lead graph neural network and transformer architecture research for biological networks
- Publish at top ML venues (NeurIPS, ICML, ICLR)
- Present work at conferences and build external reputation for the organization
- Must have a PhD in related field, eg Mathematics, Machine Learning, Artificial Intelligence, Statistics etc
- Must have significant post PhD experience – In a industry setting (eg biotech, techbio, pharmaceutical company)
- Proven experience building a team of 10 or more – inspiring, influential leader who teams want to follow
- Strong understanding of how to build foundational models for drug discovery (This will not be a hands on role but you have to know what good looks like)
- Significant experience managing stakeholders from diverse backgrounds
- Experience building tools that have impact on the pipeline (not just building for the sake of it)
This is a genuinely fantastic opportunity for an experienced leader to join this company right at the start, and play key role in building this hub and steering their strategic direction.
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