# Product Engineer at Genomics > Hybrid · United Kingdom · Unspecified · Software engineering · open. Source: https://alderhq.app/jobs/ashby%3Agenomics%3A37b8a86c-d528-4aa5-bd05-a973a591ed32 (read 2026-11-14). ## Facts (observed) - Company: [Genomics](https://alderhq.app/companies/genomics) - Location text: London; Oxford - Where it can be done from (inferred): Hybrid · United Kingdom (evidence: "Location: London; Oxford") - Posted: 2026-09-23 (52 days ago) - First seen by alder: 2026-11-04 · last verified: 2026-11-08 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://jobs.ashbyhq.com/genomics/37b8a86c-d528-4aa5-bd05-a973a591ed32 ## Pay and sponsorship - Posted pay: not posted - Market band for similar posted roles (London, n 119): p25 £70k, median £103k, p75 £138k - Licensed UK sponsor: registered as "Genomics Ltd." (checked 2026-11-09, [register](https://www.gov.uk/government/publications/register-of-licensed-sponsors-workers)) ## Description (the employer's text) 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're building on top of it. This is a Staff-level role for someone who wants to push the boundaries of what a data platform can do — solving hard, novel infrastructure problems at genuine scale, and setting the technical direction that other teams build on. You'll 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 systems engineering and genuinely meaningful science, this is it. ### A Day in the Life The role spans the full depth of the platform — from database internals up to the systems that serve data across the product. On any given day you might be: Pushing multi-tenant ClickHouse (or equivalent OLAP) clusters to their limits at multi-trillion-row, petabyte scale — designing sharding and replication strategies, building materialised views, and solving genuinely hard performance and cost/efficiency problems most engineers never get to touch. Building the tooling and automation that lets data-intensive pipelines scale themselves — smart observability, predictive capacity planning, and systems resilient enough that incidents become rare rather than routine. Shaping Data-as-a-Service as a real product — designing a secure, multi-tenant, immutable release architecture, with data made discoverable at scale through catalogue and ontology-driven search, in partnership with the data team. Powering agentic AI from the data platform — architecting the data foundations behind MystraAI and designing secure, tenant-scoped access patterns for autonomous agents, partnering closely with the ML team on how our AI systems perform. Treating security as a design problem, not a checklist — building tenant isolation, credential management and least-privilege access into the architecture from first principles. Setting technical direction, mentoring engineers, and influencing decisions well beyond your own team. ### Who You Are You're a recognised specialist who leads through expertise — principal-level individual-contributor depth combined with the judgement to set standards others follow. You'll bring: Large-scale OLAP / ClickHouse. Deep experience designing and pushing multi-tenant ClickHouse at extreme scale. You engage with the engine at source level rather than as a black box — and ideally have contributed code upstream. Platform engineering at scale. You've built self-healing, observable systems for analytical data platforms and pipelines — the kind of engineering that reduces toil rather than manages it. Data-as-a-Service productisation. You think in terms of data as a product: secure, multi-tenant, immutable releases, and discoverability at scale. Agent-ready data. You understand what it takes to expose platform data to agents safely and at scale — access patterns, tenant isolation, sensible guardrails — and have scaled data infrastructure under demanding workloads. Multi-tenant security. You design for isolation, least-privilege access and sound secrets management from the outset. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Agenomics%3A37b8a86c-d528-4aa5-bd05-a973a591ed32 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.