Rare as One RFA is sponsored by Chan Zuckerberg Initiative (CZI). This Request for Applications (RFA) supports patient-led nonprofit organizations as they launch collaborative research networks and work together to accelerate progress against rare diseases. The program aims to empower patient communities in driving research.

Science Funding - Chan Zuckerberg Initiative Grant Resources for Scientific Research Learn more about our grants and ventures . View CZI’s Grants Database Neurodegeneration Challenge Network Advancing Technologies for Spatiotemporal Omics in Live Tissue This RFA supports the development of real-time, minimally invasive technologies for proteomic and metabolomic profiling in live tissues.

Implementation of Synthetic Biology Principles in Immunology This RFA supports projects that apply synthetic biology to immune cell engineering, enabling programmable control of immune responses. Accelerating and Scaling Biological Sciences With AI This RFA invites applications to build large-scale AI/ML models using compute power on CZI’s high-performance computing cluster to power new approaches to biological discovery.

CLOSED/FULLY ALLOCATED AS OF 5/12/2025 An up to two-year international postdoctoral fellowship program between the U.S. and Japan to advance excellence in bioengineering and biomedical research. This RFA supports patient-led nonprofit organizations as they launch collaborative research networks and work together to accelerate progress against rare diseases.

Single-Cell Biology Data Insights This grant program seeks to support computational experts to advance tools and resources that make it possible to gain greater insights into health and disease from single-cell biology datasets.

Single-Cell Biology Data Insights Essential Open Source Software for Science (Cycle 6) In partnership with The Kavli Foundation and The Wellcome Trust, this CZI program supports software maintenance, growth, development, and community engagement for critical open source scientific tools. $11. 7 Million (with Kavli Foundation and Wellcome Trust) Essential Open Source Software for Science - $11.

7 Million (with Kavli Foundation and Wellcome Trust) This grant program aims to drive development of complete, general-purpose, intracellular imaging probes for cryo-correlative light and electron microscopy (cryo-CLEM).

Deep Tissue Imaging (Phases 1-2) This grant program aims to drive development of innovative imaging technologies that will advance the field of deep tissue imaging, allowing researchers to observe cells and subcellular processes at high resolution in complex tissue and through skin and bone.

Deep Tissue Imaging (Phases 1-2) Neurodegeneration Challenge Network Collaborative Pairs Pilot Project Awards (Cycle 2) This RFA supports pairs of investigators and their teams to explore innovative, interdisciplinary approaches to address critical challenges in the fields of neurodegenerative diseases and fundamental neuroscience.

Collaborative Pairs Pilot Project Awards Measuring Metabolism Across Scales This RFA aims to accelerate innovative discoveries in the field of metabolism and metabolic physiology in health and disease.

Neurodegeneration Challenge Network Ben Barres Early Career Acceleration Awards (Cycles 1-2) This RFA aims to provide mentored support for early career investigators to conduct bold, innovative, and rigorous research in the basic science underlying neurodegenerative disease and fundamental neuroscience.

Ben Barres Early Career Acceleration Awards Advancing Imaging Through Collaborative Projects This RFA supports new and existing collaborative projects to reduce imaging ecosystem fragmentation and accelerate the spread and adoption of technologies, methods, or training resources. This RFA aims to advance technology directed at real-time visualization of biological processes at the level of cells and molecules.

This grant program will support software plugin development projects for the napari image analysis platform, a community-built, open source, and interactive tool for Python designed for browsing, annotating, and analyzing large multi-dimensional images.

Patient-Partnered Single-Cell Analysis of Rare Pediatric Disease RFA This RFA aims to support the application of single-cell biology methods to rare inflammatory pediatric diseases that will clarify cellular mechanisms of disease, understand disease heterogeneity, and improve biomarker identification or diagnostics.

Neurodegeneration Challenge Network Patient-Partnered Rare Neurodegenerative Disease RFA This RFA aims to advance the understanding of the pathophysiology and mechanistic underpinnings of rare neurodegenerative and neurological disorders.

Chan Zuckerberg Biohub Network This funding opportunity supports scaling the Chan Zuckerberg Biohub model to pursue the toughest and most important scientific challenges by bringing together leading U.S.-based scientific and technology institutions within close geographical proximity to each ...

This funding opportunity supports scaling the Chan Zuckerberg Biohub model to pursue the toughest and most important scientific challenges by bringing together leading U.S.-based scientific and technology institutions within close geographical proximity to each other.

Expanding Global Access to Bioimaging This grant program supports imaging science capacity building, fellowships, and community development for imaging core facilities and nonprofit organizations in Africa, Latin America and the Caribbean, and former Soviet countries.

Ancestry Networks for the Human Cell Atlas This RFA supports researchers to contribute healthy, single-cell reference data from ancestrally diverse tissue samples to the Human Cell Atlas, with the aim of creating a more globally representative resource to understand disease.

Pediatric Networks for the Human Cell Atlas This grant program supports researchers to contribute pediatric tissue samples to the global Human Cell Atlas as a foundation for understanding how cells and organs progress and relate to disease onset in children.

Visual Proteomics Imaging This RFA supports challenge grants in visual proteomics, with the goal of advancing technology that will enable researchers to view protein molecules and their interactions inside cells at near-atomic resolution.

Imaging Scientists Cycles 1-2 This RFA supports CZI Imaging Scientists at imaging centers worldwide who will leverage biology, microscopy hardware, and imaging software to accelerate biomedicine and improve the imaging tools scientists use. Imaging Scientists Cycles 1-2 Single-Cell Analysis of Inflammation This RFA supports interdisciplinary scientists as they apply new tools and work together in accelerating inflammation research.

With these research grants, we aim to further our understanding of inflammation’s role in maintaining health and triggering disease. Seed Networks for the Human Cell Atlas This RFA supports the continued development of the Human Cell Atlas, a global effort to map all cells in the human body.

Neurodegeneration Challenge Network Collaborative Science Awards As part of the CZI Neurodegeneration Challenge Network, an interdisciplinary collaborative network that addresses fundamental issues in neurodegenerative disease biology, these are grant opportunities for small group interdisciplinary research collaborations tha ...

As part of the CZI Neurodegeneration Challenge Network, an interdisciplinary collaborative network that addresses fundamental issues in neurodegenerative disease biology, these are grant opportunities for small group interdisciplinary research collaborations that include a physician with active clinical engagement.

Collaborative Computational Tools for a Human Cell Atlas This program awards grants to spur the creation of new computational tools, algorithms, visualizations, and benchmark datasets to analyze, interpret, and disseminate a large variety of molecular and imaging data generated for the global Human Cell Atlas.

Pilot Projects for a Human Cell Atlas This program awards scientific grants to support the Human Cell Atlas community’s convergence around standards, protocols, and best practices for the creation of a freely and openly available reference database of healthy human cells and tissues. Sorry, there are currently no results that match those criteria. Please try selecting fewer filters or clearing all search terms.

Join Our Science Mailing List Explore our job openings. Explore Our Grant Resources Read our Request for Applications.