2026 PhD Residency - Foundation Models for Human Health, Early Stage Project

Project Goal:

This project aims to revolutionize the development of new therapies by building highly predictive AI systems that bridge the gap between early-stage laboratory research and human clinical outcomes. By leveraging massive clinical biobanks and foundation models, we seek to fundamentally reduce the reliance on traditional preclinical methods and accelerate the global transition toward human-relevant precision medicine.

How you will make 10x impact:

• Architect foundation models for human health by training Deep Neural Networks on massive, multi-modal biobank data to uncover novel disease patterns and patient-specific markers.
• Design agentic frameworks to mine and synthesize findings from heterogeneous biological and clinical datasets to improve the predictive accuracy of human physiological responses.
• Integrate multi-modal data streams—including omics data, clinical data, and high-content imaging—into modeling pipelines to correlate experimental results with long-term clinical outcomes.
• Research and implement modeling approaches to identify personalized therapeutic pathways and address systemic gaps in existing medical research, particularly for under-represented patient populations.

This project aims to push the limits of science and modeling as we know them and to prove how ML can radically accelerate our understanding of the world

• Location: X's headquarters in Mountain View, CA
• Start Date(s): Flexible, Early to Mid-2026
• Duration: A flexible 6-month to 1-year program based on project team needs and your availability.

Throughout your AI Residency you can expect:

• To be embedded into one of our confidential or public X projects
• To get paid competitively and receive benefits
• To be a part of a lively community of AI and ML Residents
• To attend tech-talks with AI leaders from across X