Portfolio Lead, Global Health

Snapshot

The Google DeepMind Impact Accelerator (GDI) has a unique role in GDM, to develop solutions and resources built on GDM's technologies and expertise that extend the benefits to humanity. We are a path to real world impact, beyond Alphabet products and services or making our research public.

About us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

The role

Working in partnership with GDI’s leadership team, you will develop and be responsible for a portfolio of work, including directing, organising and managing all activities that advance the social impact of AI applications areas connected to global health, while also driving the strategy and business development activities of GDI as it relates to this domain area.  

This is an evolving and dynamic area of Google DeepMind with a collaborative, diverse group that partners closely with a wide variety of teams across Alphabet and a range of external partners.

Key responsibilities

• Develop the impact strategy for the Global Health portfolio, as part of the broader Life Sciences effort.
• Drive a portfolio of projects to deliver the strategy, taking ownership of defining objectives, outlining strategies and roadmaps, and achieving results. 
• Identify and define opportunities to use Google DeepMind technology to solve real-world problems, working alongside research, engineering and partnerships teams, and partner with them to determine the best approach and execution plans for prioritised ideas. 
• Use your influence to bring together and motivate individuals (including Scientists and Engineers) from across Google DeepMind to work on projects related to AI applications for enhancing global health. 
• Scope, prototype and launch solutions, and build and manage external product/deployment partnerships where relevant. 
• Develop and execute a plan to drive adoption of solutions, continuously monitoring and understanding drivers of it. Identify and execute high value impact acceleration opportunities. 
• Collect and incorporate research improvements and ideas from stakeholders and partners for the solution roadmap. 
• Identify and deliver opportunities to catalyse the use of AI for addressing global health challenges.
• Define metrics and evaluate the success of projects against their goals and objectives, and share lessons and insights across the wider business.
• Build relationships and collaborate with multiple stakeholders internally (GDI, GDM and broader Alphabet) and externally.
• Proactively monitor the external landscape. Engage with partners, researchers and experts to understand key sector needs, challenges and opportunities to apply our technology for social good.

The role will suit candidates who enjoy applying state-of-the-art AI to important real-world problems that maximise positive impact for the wider community.

About you

In order to set you up for success as a Portfolio Lead in the GDI Life Sciences team, we look for the following skills and experience:

• Prior professional experience and/ or an academic background in an area of life sciences. 
• Deep interest in global health, with demonstrable knowledge of the global landscape, key challenges and potential solutions. 
• Demonstrable experience and knowledge of managing products and programs relating to real-world AI applications. 
• Product management experience; crafting strategic product roadmaps, working with cross-functional teams to manage the lifecycle of products from inception to delivery, and driving adoption and impact.
• Proven ability to collaborate effectively with a variety of colleagues, senior leadership and partners.
• Confidence and effectiveness in engaging researchers and engineers. While not a Machine Learning specialist yourself, you are able to understand the considerations related to AI research and technologies.  
• Strong communication skills; ability to synthesise complex or technical details into accessible and precise insights, establish credibility with internal and external stakeholders, and represent Google DeepMind externally. 
• Ability to thrive in ambiguity and shape your own path. You are comfortable navigating uncharted territory, taking initiative, and defining a clear path forward in a fast paced and dynamic environment. 
• A passion for Google DeepMind’s mission, and knowledgeable and excited about AI and its potential for scientific and real-world impact.

Deadline to Apply: 5pm BST, Sunday 27th July 2025 

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy.

 

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.