Nobel Laureate John Jumper Leaves Google DeepMind for Anthropic, Signaling AI Talent Shift Toward Life Sciences
核心洞察
John Jumper (搜索), 2024 Nobel Prize co-winner for AlphaFold, is leaving Google DeepMind (搜索) after nearly nine years to join AI startup Anthropic (搜索).
AlphaFold2 (搜索) has predicted over 200 million protein structures and is used by more than two million scientists across 190 countries, accelerating research in malaria, cancer, and drug-resistant bacteria.
The departure follows Anthropic (搜索)'s $400 million acquisition of biotech startup Coefficient Bio (搜索), signaling an aggressive push into computational biology and AI-driven drug discovery.
John Jumper (搜索), the Google DeepMind (搜索) vice president who won the 2024 Nobel Prize in Chemistry for creating AlphaFold, announced he is leaving the company after nearly nine years to join AI startup Anthropic (搜索). Jumper disclosed the move on X on Thursday, stating he would take time to recharge before starting at the maker of the Claude large language model. Both Google DeepMind and Anthropic confirmed the departure.
The announcement lands one day after Gemini co-lead Noam Shazeer revealed he was leaving Google for OpenAI, marking the second landmark talent loss for Google's AI operation in 48 hours. Shazeer co-authored the seminal 2017 "Attention Is All You Need" paper that underpins virtually every modern large language model. Google reportedly paid $2.7 billion to bring him back from Character.AI less than two years ago.
"Demis Hassabis took a real chance letting me lead the AlphaFold team just six months after finishing my PhD," Jumper wrote. Hassabis, who shared the Nobel Prize with Jumper, responded publicly: "What we achieved with AlphaFold changed the world, and showed the field what was possible with AI for science and medicine, lighting the way for how AI can benefit humanity."
A Transformative Scientific Achievement
Jumper shared half the 2024 Nobel Prize in Chemistry with Hassabis for developing AlphaFold2 (搜索), an AI system capable of predicting the three-dimensional structure of proteins from their amino acid sequences. The other half of the prize went to University of Washington professor David Baker for computational protein design.
Since its release, AlphaFold2 (搜索) has been used by more than two million scientists across 190 countries, fundamentally accelerating research on malaria vaccines, cancer treatments, and drug-resistant bacteria. The system has predicted over 200 million protein structures, cutting years off biological and medical research timelines.
Born in 1985, Jumper became the youngest chemistry Nobel laureate in more than 70 years when he received the prize. Before joining DeepMind, he earned a Marshall Scholarship to study at Cambridge and completed a PhD in theoretical chemistry at the University of Chicago.
Anthropic's Life Sciences Ambitions
Neither Anthropic (搜索) nor Jumper has disclosed what role he will take at the company. However, the hire aligns with Anthropic's expanding push into life sciences and computational biology. In April, Anthropic paid $400 million in stock for Coefficient Bio (搜索), a stealth biotech startup with fewer than 10 employees, most of them former Genentech computational biology researchers.
That acquisition brought domain expertise in protein design and biomolecule modeling into Anthropic (搜索)'s healthcare and life sciences division, led by Eric Kauderer-Abrams, who has stated he wants "a meaningful percentage of all of the life science work in the world to run on Claude." Adding a Nobel laureate whose work fundamentally changed how the field understands protein structure would give that ambition considerable scientific credibility.
Anthropic (搜索) is hosting a science event on June 30, though the startup has not responded to requests for comment regarding Jumper's new role.
Talent Competition Intensifies
Technology giants including Meta and Alphabet, along with AI upstarts such as Anthropic (搜索) and OpenAI, are locked in a fierce talent war, competing for elite researchers as they race to build next-generation AI systems. According to industry analyses, engineers at DeepMind have been leaving for Anthropic at a ratio of nearly 11 to 1.
Google DeepMind (搜索) remains a formidable research operation. It spun off Isomorphic Labs (搜索) to pursue AI-designed drug candidates now entering clinical trials, and its Gemini models power products used by more than a million people across the Pentagon alone. A Google DeepMind spokesperson said the company was "grateful for John's significant contributions to Google DeepMind's work in advancing science and AI. We wish him well in his next chapter."
The back-to-back departures of Jumper and Shazeer raise questions about retention at Google's AI division. Shazeer left despite a deal reportedly worth billions. Jumper leaves with a Nobel Prize bearing DeepMind's name. For Anthropic (搜索), the hire represents a statement about where the company is heading—toward the intersection of AI and fundamental science, a domain it has been investing in aggressively but has yet to prove it can lead.