UK jobs. Bigger possibilities.
169,000+ live jobsResearch Engineer, Bioresilience, DeepMind
On-site in London·Added yesterday (last checked 29 Oct)
Our summary
- Work mode
- On-site, London
- Experience
- 5+ years


Skills
Nice to have
Requirements
What we're looking for
- 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.
Nice to have
- Experience applying deep learning models to biological data (such as functional genomics or protein sequence data).
- Experience manipulating common life science data types including FASTQ, SAM/BAM, gff, BED, VCF, and PDB/CI using bioinformatics or health informatics tools.
- Demonstrated domain knowledge in life sciences, computational biology, or biosecurity (e.g., molecular biology, pathogen genomics, computational plant pathology, protein engineering, bioinformatics, or metagenomics).
- Ability to identify, break down, and solve ambiguous and complex process and technical problems that span across many teams and organizations.
- Demonstrated ability to translate biological concepts into computational workflows and evaluation benchmarks.
The role
At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.
As a part of the Research Engineer to join the Bioresilience Initiative (https://deepmind.google/blog/our-approach-to-bioresilience/) within the DeepMind Impact Accelerator team. In this role, you will build and deploy novel applications leveraging Google's frontier AI and generative models.
As a part of the team, you will accelerate DeepMind's societal impact on critical global challenges, collaborate with Biosecurity, GenAI, and Alphabet partners like Google Research, Cloud, and Isomorphic Labs, will develop solutions across biological threat prevention, early pathogen detection, and rapid response. You will translate cutting-edge AI breakthroughs into scalable tools that protect communities worldwide.
Your position requires domain expertise in life sciences, computational biology, or biosecurity alongside solid software engineering skills to prototype, benchmark, and scale products using state-of-the-art GenAI tools.
Join DeepMind to advance AI development, protect society from biological threats, and accelerate high-quality product innovation for public benefit.Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
We are pushing the boundaries across multiple domains. Our global teams offer varied learning opportunities and career pathways for those driven to achieve exceptional results through collective effort.
What you'll do
- Partner with product leadership, external authorities (biosecurity organizations, institutes, public health bodies), and cross-functional teams to navigate ambiguity, understand real-world biodefense challenges, and define technical architectures across Bioresilience workstreams.
- Curate specialized biological datasets, design rigorous domain evaluations, and execute fine-tuning to maximize model performance on complex biological tasks.
- Engineer 0-to-1 solutions and workflows using internal platforms, building sophisticated agents powered by foundation models such as Gemini, AlphaFold, and AlphaGenome.
- Synthesize partner insights, edge cases, and deployment signals to inform future frontier model development and biological safety guardrails.
- Advocate safe GenAI deployment best practices in bioresilience, demonstrating peak frontier model capabilities to solve critical biological problems end-to-end.
Hiring process
Apply online
Assessments
Online test · Not every role
You may be asked to take the Google Hiring Assessment (workstyle skills) and, for some roles, role-related assessments such as a coding exercise.
Recruiter conversations
With a recruiter · Phone call · 1–2 sessions
One or two shorter conversations assessing key skills, sharing information about the organisation and team, and asking about your preferences such as location.
Project work
In your own time · Not every role
For some roles, a small project before interviews: a case study, writing or code samples.
Interviews
With a rotating cast of Googlers
A panel of structured interviews, over video or in person, with a rotating cast of Googlers; open-ended role-related questions scored against the same rubric for every candidate, no brainteasers.
Decision and offer · With a recruiter
- Structured interviews: every candidate for a role is scored against the same rubric; no brainteasers.
- AI tools are not permitted during interviews.
- For some roles, pre-selected interviews happen virtually before final interviews onsite.
About Google
- Industry
- Technology
- Founded
- 1998
- Employees
- 100,000+
- Headquarters
- Mountain View, USA
Location
Google · London
Loads Google Maps, which may set its own cookies.
More jobs like this
or browse Software engineering·Mid-level·Big Tech·Technology





