Senior Scientific Data Engineer, Data Platform

Core responsibilities:

• Build, scale, and operate a data platform that allows users to discover and query across Recursion's diverse datasets including chemistry libraries, cellular microscopy images, and assay results
• Build relatability and query-ability into heterogeneous biological and chemical datasets to enable future scientific discovery
• Act as a mentor, coach, and sponsor by sharing technical knowledge and experiences across teams

This role contributes to decoding biology to industrialize drug discovery, advancing the future of medicine by building data platforms that enable scientific discovery across massive biological and chemical datasets.

Required qualifications:

• 5+ years of deep experience in modern, cloud-based data engineering tools for building data platforms
• Degree in drug-discovery related science (e.g., Chemistry, Biology) to make informed choices on scientific data
• Experience with Python, dbt, Prefect, BigQuery, Datastream, FiveTran, PostgreSQL, GCS, Kubernetes, CI/CD, and Infrastructure as Code
• Experience working collaboratively on projects with significant ambiguity and technical complexity spanning multiple systems

Compensation and benefits:

• Estimated annual base range: £75,900 - £101,900
• Eligible for annual bonus and equity compensation
• Comprehensive benefits package
• Hybrid work environment (50% office time)
• People-first culture that prioritizes supporting coworkers in their growth