Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowFirst seen 5 hours ago

Lead Research Engineer, Bioresilience, DeepMind

Google3,444 open roles

Where
London, UK
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowLead Research Engineer, Bioresilience, DeepMindGoogle · London, UK

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Google's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.7% of postings close within 7 days. Measured by our own scanner across the market. Google postings stay open a median of 29 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.5%3 days
  3. 12.7%7 days
  4. 20.4%14 days
  5. 35.6%30 days
  6. 58.7%60 days
This job: first seen 5 hours ago

Google median: 29 days open

The posting

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience in a technical leadership role; overseeing projects.
  • 5 years of experience in a people management, supervision/team leadership role.

Preferred qualifications:

  • 5 years of experience leading software teams or software projects.
  • 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/CIF using bioinformatics or health informatics tools.
  • Ability to identify, prioritize, break down, and solve ambiguous and complex process and technical problems that span across many teams and organizations.
  • Demonstrated domain knowledge in life sciences, computational biology, or biosecurity (e.g., molecular biology, pathogen genomics, computational plant pathology, protein engineering, bioinformatics, or metagenomics).
  • Demonstrated ability to translate biological concepts into computational workflows and evaluation benchmarks.

About the job

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 Lead Research Engineer, you will join the Bioresilience Program (https://deepmind.google/blog/our-approach-to-bioresilience/) within DeepMind Impact Accelerator. You will lead development and deployment of applications leveraging frontier AI and generative models.

In this role, you will collaborate with Biosecurity, GenAI, and Alphabet partners like Google Research, Cloud, and Isomorphic Labs, build solutions for biological prevention, detection, and response. You will translate AI breakthroughs into practical tools for pathogen detection, crop resilience, and medical countermeasures.

Your role requires expertise in life sciences, computational biology, or biosecurity alongside strong software engineering leadership to build products with state-of-the-art GenAI.

Join Google DeepMind to advance AI development, strengthen global biological resilience, and safeguard public health.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.

Responsibilities

  • Partner with GDI, research leadership, external authorities (biosecurity organizations, institutes, public health bodies), and cross-functional teams to navigate ambiguity, understand real-world bioresilience challenges, and set program objectives.
  • Develop 0-to-1 solutions and workflows using internal platforms to build agents powered by foundation models such as Gemini, AlphaFold, and AlphaGenome, while curating specialized biological datasets, designing domain evaluations, and fine-tuning models to maximize real-world performance.
  • Synthesize partner insights, edge cases, and deployment signals to inform future frontier model development and biological safety safeguards.
  • Advocate best practices for safe GenAI deployment, demonstrating peak frontier model capabilities to solve high-impact biological problems end-to-end.
  • Lead a team of software and research engineers, fostering an environment, developing talent, and partnering with leadership to prioritize high-impact opportunities.
From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Google's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Google's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Google's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.