Genomics

Staff Site Reliability Engineer

London, Greater London, United KingdomFull timeStaffPosted 1 day ago
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Location: Oxford or London (Hybrid)

THE MISSION: WHY WE EXIST

Genomics is a science-led transatlantic TechBio combining large-scale genetic and health data with proprietary analytics to accelerate drug discovery and advance predictive, preventative healthcare. We are united by a single vision to help people live longer healthier lives, using the power of genomics.

Genomics aims to help people live longer, healthier lives in two ways: super-charging drug discovery and development for novel treatments with our AI-enabled advanced genetic analytics platform, and by helping people understand their personal risk of common chronic diseases through polygenic risk scores - giving doctors and health systems the chance to get the right people into the right prevention, screening and treatment programmes at the right time.

ROLE PURPOSE

Genomics runs on multi-trillion-row, petabyte-scale genetic and health data. Mystra is the analytical data platform that makes that usable, and MystraAI is the agentic layer we are building on top of it. This is a Staff-level role that owns the reliability, performance, security and integrity of that infrastructure end-to-end — and sets the technical direction that other teams build on.

You will lead the analytical data platform and our Data-as-a-Service offering, shape the data foundations behind MystraAI, and line-manage a small team of engineers while staying deeply hands-on. If you want your work to sit at the intersection of large-scale infrastructure and genuinely meaningful science, this is it.

A DAY IN THE LIFE

The role spans the full depth of the platform — from low-level infrastructure reliability and database internals up to the systems that serve data across the product. On any given day you might be:

- Architecting, tuning and operating multi-tenant ClickHouse or equivalent OLAP database clusters at multi-trillion-row, petabyte scale — sharding and replication, materialised views, merge and query optimisation, ...