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Senior Analytics Engineer

Recursion Pharmaceuticals INC CLAS - London, England

Posted Feb 18, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Market context

Median wage (BLS OEWS)
$111,944 national median
Projected growth (BLS Employment Projections)
+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work
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Application

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About this role

Senior Analytics Engineer London, England Your work will change lives. Including your own. The Impact You'll Make At Recursion, we are reimagining drug discovery through a powerful synthesis of AI, automation, and deep scientific expertise. In this role, you will be the bridge between complex chemical data and the strategic systems that power our discovery programs. Your primary focus will be building the tools and infrastructure that support our computational designers and medicinal chemists in making data-driven decisions for the next steps in discovery programs. You will expose analytics that help us further automate the platform by closing the Design-Make-Test-Learn (DMTL) loop to accelerate the design process. You will have high-level ownership of our analytical ecosystem-including the Spotfire library, data schemas, and automation services-transforming complex datasets into directed platform improvements. You will be at the center of our DMTL loop, creating the tools that empower our scientists to design novel, high-quality drug candidates with unparalleled speed and precision. Your work will directly accelerate our portfolio, drive our partnerships, and contribute to our mission of decoding biology to radically improve lives. In this role, you will: Build and maintain integrated project dashboards that serve as a core resource for design teams by syncing assay results with cross-functional portfolio data. Code and manage robust repositories for Spotfire automation and BigQuery integration to streamline the flow of data across the discovery lifecycle. Design and evolve metrics and predictive modeling workflows that inform "next-best" design recommendations and track project progress through the discovery lifecycle.

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Apply link verified; last checked Jun 13, 2026.

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