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Research Collaboration Lead

On-site in London·Added 13 days ago (last checked 1 Oct)

Google

168 open roles

Requirements

Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 7 years of experience in Research Collaboration, academic relations, or partnership management within technology, research, or non-profit sectors.
  • Experience designing and operationalising research collaboration programs and external funding programs.
  • Experience developing and executing convenings or events for scientific, academic, or policy audiences, and translating goals into practical operations and end-to-end delivery frameworks.
  • Experience managing projects and engaging with external key opinion formers.

Preferred qualifications:
  • Experience sourcing and managing external funding for research initiatives.
  • Familiarity with the Artificial General Intelligence (AGI) landscape and its socio-technical implications.
  • Strong track record of engaging with policymakers, think tanks, and academic institutions to shape policy or inform decision-making.
  • Ability to navigate ambiguous environments, balancing high-level strategy with direct execution.
  • Excellent communication skills with the ability to create impactful campaigns that reach target academic groups.

The role

We are seeking an Research Collaboration Lead to mobilise and manage the DeepMind Institute's (DMI) convening and research collaboration programs. In this dual-focus role, you will build and execute the frameworks needed to connect DMI with key academic, scientific, and policy communities. You will design strategies to bring together key opinion formers, fund critical research, and manage the end-to-end operational delivery of these programs. By bridging high-level strategy with practical execution, you will help position DMI as a responsible, leading voice in Artificial General Intelligence (AGI) socio-technical research, informing policy and building public trust.

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 diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
Responsibilities
  • Lead the strategy and end-to-end operations for DMI's external convenings and research collaboration programs.
  • Design convening strategies to engage target key opinion former (KOF) communities, advancing DMI's research agenda and establishing our leadership in AGI socio-technical research.
  • Evolve and develop our DMI research collaboration strategy, identifying priorities, securing resources, and establishing mechanisms to support external research.
  • Set up and manage the operational structures, campaigns, and processes to effectively deliver research collaborations and promote opportunities to target academic groups.
  • Drive externalization efforts by connecting insights from convenings to inform policy design, educate stakeholders, and build trust as a responsible industry convener.

Hiring process

4 steps3 interviewsa task to do6–8 weeks in all
  1. Apply online

  2. 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.

  3. 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.

  4. Project work

    In your own time · Not every role

    For some roles, a small project before interviews: a case study, writing or code samples.

  5. 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.

  6. 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
Website
google.com
All open roles at Google

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