Anthropic Launches Guest Investigator Program to Apply Claude to Life Sciences Research
October 25, 2026 · 2 min read
Also published in Italiano
Anthropic has opened a guest investigator program that pairs its Claude AI model and research automation tools with external life sciences researchers for short term collaborative projects. The company is inviting principal investigators and research teams from universities, non profit research institutes, and government laboratories to apply for the Life Sciences Guest Investigator initiative. Selected teams will work directly with Anthropic researchers for eight to twelve weeks, using the company's AI models and tools at no cost. The program targets five main research areas: causal human biology, structural and computational molecular biology, medicinal chemistry, drug discovery, and clinical science. Anthropic emphasizes that the goal is not for AI to independently develop drugs or validate clinical efficacy, but rather to combine AI assistance with researcher led scientific inquiry to generate new hypotheses and preliminary evidence.
Applicants must explain why direct collaboration with Anthropic is needed, how Claude will help solve specific research challenges, and why meaningful results are feasible within the eight to twelve week timeframe. Projects may be extended after the initial collaboration period. Research outputs can include preliminary evidence of new findings, initial answers to unresolved questions, analysis results, research software, open datasets, or other resources useful to other scientists. Anthropic states that guest investigators retain full rights to their data throughout the project and may pursue independent follow up research afterward. The company also plans to jointly publish results and release associated data and source code as open source where appropriate, while respecting data ownership and sharing limitations.
Importantly, Anthropic does not require applicants to share data during the application or collaboration process, and only publicly available information should be included in proposals. The company acknowledges that solving and validating major life sciences problems ultimately requires significant time, so this program focuses on what can be achieved in a relatively short period.