Bioresilience Research Engineer - GenAI for Biosecurity

Google LLC; United Kingdom; On-site; GBP 120,000 - 160,000; Full time

Job summary

Google DeepMind is seeking a Research Engineer to join the Bioresilience Initiative. You will build and deploy novel applications leveraging frontier AI and GenAI tools while partnering with Google Research, Cloud, and Alphabet ventures to tackle global biodefense challenges.

You will work on large-scale experiments, design new architectures, and translate biological concepts into scalable computational workflows to protect communities worldwide.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

Responsibilities

• Partner with product leadership and cross-functional teams to navigate ambiguity and define technical architectures across Bioresilience workstreams.
• Curate specialized biological datasets, design domain evaluations, and fine-tune to maximize model performance on complex biological tasks.
• Engineer 0-to-1 solutions and workflows using internal platforms and foundation models such as Gemini, AlphaFold, and AlphaGenome.
• Synthesize partner insights and deployment signals to inform frontier model development and safety guardrails.
• Advocate safe GenAI deployment practices in bioresilience and demonstrate frontier model capabilities end-to-end.

Skills

Software development

Deep learning

Biology knowledge

Education

Bachelor’s degree in CS or related field

Tools

Gemini

AlphaFold

AlphaGenome

Job description

Google DeepMind is seeking a Research Engineer to join the Bioresilience Initiative. You will build and deploy novel applications leveraging frontier AI and GenAI tools while partnering with Google Research, Cloud, and Alphabet ventures to tackle global biodefense challenges.

You will work on large-scale experiments, design new architectures, and translate biological concepts into scalable computational workflows to protect communities worldwide.