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# Software Engineer, Bioresilience, DeepMind

- **Company:** Google
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Bioinformatics, Health Informatics, Software Architecture, Software Construction, Software Engineering, Deep Learning, Reliability of Systems, Generative AI, DeepMind, Data Pipelines
- **Published:** October 27, 2026
- **Apply:** https://dejobs.org/x/x/101870BF3DD34B89A42A02D7D19DA524/job/

## About the Role

* Bachelor's degree or equivalent practical experience.
 * 8 years of experience in software development., * Experience applying deep learning models to biological data (such as functional genomics or protein sequence data).
 * Experience working with life science data, such as in bioinformatics or health informatics.
 * Ability to identify, break down, and solve ambiguous and complex process and technical problems that span across many teams and organizations.

## Description

* Partner closely with product leadership, external parties (e.g., biosecurity organizations, research institutes, public health authorities) and internal cross-functional teams to navigate ambiguity, deeply understand real-world biological defense challenges, and define clear product requirements and software architecture.
 * Build robust data pipelines for complex biological datasets, implement scalable evaluation frameworks, and optimize model inference and serving infrastructure for production use.
 * Contribute extensively to the engineering and development of novel solutions from 0 to 1, utilizing internal platforms and tools to build reliable production applications, agents, and workflows powered by GDM foundation models.
 * Translate experimental research prototypes into maintainable software, sharing deployment telemetry, system performance constraints, and edge cases with core research teams to inform future model development.
 * Set software engineering best practices for applied GenAI systems, focusing on testing, system reliability, security, and maintainability across deployed tools.