At DeepMind we seek to dramatically accelerate scientific discovery by achieving a higher throughput of experimental results and enabling fundamentally new kinds of science. The role will be to lead and shape complex programs in DeepMind’s Science and Strategic Initiatives Unit, with a focus on the field of Science Automation, with a strong focus on lab automation in the domains of material science and life sciences. This is an opportunity to work with researchers in various fields, multi-disciplinary teams and external partners to shape this goal and bring our research breakthroughs to the real world.
There will also be the opportunity to work on projects and processes spanning across the science and strategic initiatives unit.
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
- Drive end-to-end planning and delivery using project methodologies, agile boards, risk trackers, and budget management to track success against goals.
- Create clarity and resolve ambiguity by translating high-level strategic goals into detailed, actionable execution plans with clear milestones and deliverables.
- Translate research outcomes into impact (commercial, societal, reputational) like products, demos, or partnerships by working with leadership and partners.
- Anticipate solutions to issues and risks, track progress, manage technical documentation, and proactively identify requirements like technical dependencies.
- Coach individuals and lead engagement across the team by building relationships, improving ways of working, and inspiring them to achieve their full potential.
Qualifications
Minimum qualifications:
- Bachelor's degree in a technical field, or equivalent practical experience.
- 5 years of experience in program management.
Preferred qualifications:
- 5 years of experience managing cross-functional or cross-team projects.
- Experience managing deep collaborations with external partners. Manage external vendors.
- Experience in robotics, automation, materials labs/wet labs or systems engineering. Strong technical background with an understanding of AI in the context of lab automation and lab in the loop research.
- Ability to influence cross-functional teams (e.g., engineering, computational biology, product) and distill complex technical concepts for executive leadership.
- Demonstrated ability to improve processes, workflows, and governance to enhance research efficiency.
- Strategic mindset to manage high-stakes external products and partnerships while maintaining the pace of research progress.