Senior Fellow Scientific AI

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Driving lasting impact and building long-term capabilities with our clients is challenging work. You are the kind of person who thrives in a high-performance, high-reward culture—embracing hard tasks, resilience, and persistence in finding solutions.

In return for your drive, determination, and curiosity, we offer resources, mentorship, and opportunities to accelerate your growth as a leader. Our colleagues at all levels are committed to your development, providing apprenticeship, coaching, and exposure to help you grow faster than anywhere else.

When you join us, you will have:

• Continuous learning: Our structured programs foster growth and feedback, encouraging you to own your learning journey.
• A voice that matters: Your ideas and contributions are valued from day one, influencing innovative solutions and outcomes.
• Global community: Collaborate with colleagues across 65+ countries and 100+ nationalities, enriching your perspectives and solutions.
• World-class benefits: Competitive salary based on experience and location, plus comprehensive medical, dental, mental health, and vision coverage for you and your family.

Your role involves supporting client service teams, developing internal knowledge assets, and building the firm’s external network. You will bring scientific expertise to complex client problems, participate in proposal processes, and lead scientific AI initiatives through whitepapers, publications, and conference presentations.

You will establish and grow an external network, enhance our reputation, and mentor junior colleagues to expand scientific AI impact. You will lead initiatives to scale our services and improve productivity and impact within the firm.

As a member of McKinsey’s global scientific AI team, you will help transform R&D in industries like Life Sciences, Chemicals, Energy, and Sustainability, leveraging your expertise in scientific disciplines (chemistry, medicine, biology, engineering, physics) and AI/machine learning (deep learning, causal inference, foundation models).

Your core responsibilities include:

• Delivering distinctive insights and capabilities through client engagements
• Providing scientific and technical leadership in creating and sharing knowledge and assets
• Enhancing the firm’s reputation in your expertise area
• Mastery of fundamental scientific concepts and staying current with latest research
• Understanding data sources, AI methods, and analytical technologies
• Developing innovative solution architectures based on client needs
• Leading innovation at the intersection of AI and science
• Communicating complex ideas to technical and non-technical stakeholders
• Engaging with the external ecosystem through publications, conferences, and industry connections
• Managing reports and stakeholder networks