Senior Computational Biologist, Tooling

Your work will change lives. Including your own.  The Team You’ll Join  As part of Recursion's Value Tech Tooling Team, you will be at the forefront of reimagining drug discovery from first principles using our massive data capabilities. You'll work in a cross-functional team of world-class computational biologists and engineers who turn complex analyses and data workflows into stable tools and pipelines that multiply their impact and industrialise the discovery process across a wide array of therapeutic areas. You'll partner with biologists, medicinal chemists, engineers, data scientists, ML scientists, and to design experiments, develop new methods, build scalable data workflows, analyse results, and identify common themes across programs. As our toolbox grows and evolves, it will contribute to a revolution in drug discovery to bring life-changing therapeutics to patients at greater speed and with higher quality, safety and efficacy than ever before. In this role, you will: Synthesize , integrate, and analyse diverse internal and external datasets from computational biology, target discovery, functional genomics, biomarker discovery, and real-world and clinically derived data sources, and identify commonalities to turn into reusable tools and pipelines. Build, maintain, and improve robust data pipelines and analytical workflows for complex biological datasets, including omics data, internally generated biological assay data, and external data sources such as Tempus and other real-world datasets. Develop and apply agentic workflows to integrate and orchestrate analyses across multiple internal and external data sources, accelerating insight generation and supporting scalable decision-making across drug discovery programs. Partner with engineers to mature pilot tooling and workflows into stable products and infrastructure that multiply the effectiveness of scientific collaborators pursuing drug programs. Present and discuss data, pipelines, and tools with decision makers and stakeholders in a clear and compelling way that drives toward getting medicines to patients. Collaborate cross-functionally with Recursion’s platform data science, data engineering, and ML teams to further advance Recursion’s ability to interpret and translate large-scale phenomics and multimodal data into therapeutic programs. The Experience You’ll Need PhD in a relevant field (e.g., computational biology, bioinformatics, statistics, quantitative pharmacology, cancer/cell biology, computer science, or a related discipline), or equivalent experience, with a track record of applying these skills to fundamental problems in drug discovery. Experience applying computational methods (including statistical, probabilistic, and/or machine learning techniques) to analyse complex biological and/or human clinical data. Experience building, maintaining, and improving reproducible data pipelines and analytical workflows for large, heterogeneous biological datasets (Python strongly preferred). Experience working with high-dimensional biological datasets, including omics data (e.g., single-cell and other genomics-based modalities) and/or other complex assay modalities. Experience turning exploratory analyses into reusable tools, workflows, and documentation that can be adopted by other scientists/teams. General understanding of drug discovery and translational biology. Nice To Have Experience working on highly collaborative cross-functional teams; ability to clearly explain computational analyses, data workflows, and methodologies to cross-functional and non-technical teams. Hands-on experience working with real-world clinical datasets (EHR/claims/registries) and/or generating real-world evidence (cohorting, endpoint definition, observational study considerations). Experience with real-world clinical datasets (e.g., EHR-derived oncology datasets) or demonstrated ability to rapidly learn new healthcare data modalities; experience with Tempus or similar datasets is a plus. Experience integrating multimodal datasets (e.g., genomics + phenomics, genomics + imaging) in service of translational decisions. Experience developing or applying agentic workflows to orchestrate analyses across multiple internal and external data sources, accelerating insight generation and decision-making Working Location & Compensation: This is an office-based, hybrid position at our office located in London, England.  Employees are expected to work in the office at least 50% of the time. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is £86,300 - £115,500 . You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package.  #LI-EP1 The Values We Hope You Share: We act boldly with integrity. We are unconstrained in our th