Senior AI Infrastructure Engineer

Most diseases are still poorly understood at a biological level. Despite decades of research, the causal mechanisms driving many conditions remain unclear, limiting our ability to identify the right targets, design the right interventions and bring the right medicines to patients.

The AI Accelerator exists to change that. Based in Londonandsitting within Computational Innovation(@computational innovation),a global organisationspanningcomputational biology, human genetics, data excellence and AI, the Accelerator’s mission is to build production-quality AI capabilities that deepen our understanding of disease biology and increase probability of success.

We do this by applying neural-based methods across the biomedical data landscape to integrate heterogeneous, multimodal data sources, infer biological relationships and embed causal thinking into what we build. The goal is not just to predict but to explain and understand why disease occurs.

It could be electronic health records and medical imaging to support patient segmentation. It could be ‘omics data to identify novel therapeutic targets. It could be predicting transcriptional change for a given disease-causing variant. It could be simulating the effect of modulating a target of interest.

AI Infrastructure underpins the success of the AI Accelerator: the scale, speed and cost of every model trained or served restson the compute, storage and platform substrate deployed.

This includes getting the best from existing on-prem capabilities as well assecuring best-value cloudcapabilities.

We are seeking a senior leader of AIInfrastructureto join Computational Innovation’sAIAccelerator. In this role, you will own the technical infrastructure strategy for the AI Accelerator, ensuring the unit has the compute, storage and platform infrastructure it needs to train, fine-tune and serve biomedical foundation models  will lead the architecture, standards and practices for the compute and platform substrate on which the other teams depend, working wider CI data teams and IT, as well ascloud providers,to ensure that our AI scientists and ML teamsget the best from all available infrastructure.

This is a technical leadership role that requires deep technical expertise and relationship building. You will be a senior member of the AI Enablement leadership team, contributing to the team's overall direction alongside the Senior Staff Data Engineer and Senior Staff MLOps Engineer.

This is a unique opportunity to be part of a critical strategic initiative for a pharmaceutical company that invests heavily in research and development to discover and develop innovative therapies that can improve and extend lives in areas of high unmet medical need.

• Own, define and evolve a wholistic, multi-layer reference architecture spanning storage, compute, environments and platform stack, making appropriate use of vendor/integrator design patterns.
• Set the technical direction, strategy and roadmap for AI infrastructure, aligned to the various AI Enablement roadmaps and to portfolio/research priorities.
• Partner with Data Excellence to further development BI's Trusted Research Environment (TRE), ensuring the TRE supports secure, compliant AI workloads on sensitive data and evolves to meet the AI Accelerator’s needs.
• In partnership with IT, shape the evolution of existing enterprise infrastructure to support large-scale AI and ensure best-value services while designing for portability.
• Establish ways of working, onboard and mentor other team members, and act as a senior escalation point for complex AI Infrastructure problems.

• PhDor MSc with equivalent experienceinaSTEM subject.
• Extensive experience as a senior staff-level…