If you are an AI engineer, data scientist, or computational oncologist looking to build deep tech solutions for life sciences, this is the highest tier of global funding you can secure right now.
The Global Ovarian Cancer Research Consortium—led by the Ovarian Cancer Research Alliance (OCRA) in partnership with Amazon Web Services (AWS)—has officially launched its 2027 AI Accelerator Grant. This massive fund is built to fuel cutting-edge artificial intelligence and machine learning models that can crack early detection, predict treatment resistance, or map complex tumor biology.
While there are absolutely no hidden entry fees or submission charges to apply, this is an institutional medical research fund with an incredibly specific set of compliance guardrails.
Critical Deadlines
- Letter of Intent (LOI) Deadline: June 23, 2026, at 5:00 PM Eastern Time (NY).
- Full Proposal Stage: September 2026 (By exclusive invitation only, following an internal scientific panel review of your LOI).
- Grant Start Date: February 1, 2027.
- Extension Policy: Late submissions or individual extension requests are strictly not permitted under any circumstances.
💰Total Funding & Infrastructure Support
This is a massive, multi-tiered capital injection designed for resource-heavy computational research:
- Financial Award: Up to $1,000,000 USD distributed over a 3-year period ($333,333 annually) awarded directly to the lead institution.
- AWS Cloud Credits: In addition to the cash, teams can request up to $200,000 USD per year (up to $600,000 USD total) in-kind cloud compute credits from Amazon Web Services.
- The Secure Data Environment: All compute power and data modeling must be run directly within OCRA’s newly launched Discovery Lab Trusted Research Environment to enable secure, real-time data integration.
Strict Team & Institutional Requirements
You cannot apply for this grant as an individual freelancer or an independent, commercial tech startup. Your consortium must meet an elite academic threshold:
- The “4-Country Consortium” Rule: Your core research team must consist of a minimum of four senior lead investigators with active institutional representation across four specific countries: The United States 🇺🇸, United Kingdom 🇬🇧, Canada 🇨🇦, and Australia 🇦🇺.
- Academic Appointment: The designated Principal Investigator (PI) and all core lead investigators must hold full-time faculty or equivalent research positions at an accredited non-profit university, medical school, public health school, or non-profit research hospital.
- Degree Threshold: Lead applicants must hold a doctoral degree (Ph.D., M.D., or equivalent) at the time of the LOI submission. Individuals in training positions, such as postdoctoral fellowships or residencies, are ineligible to act as PIs.
- Interdisciplinary Balance: The team must explicitly include at least one AI/computational science expert to build the modeling framework, alongside a specialized gynecologic oncologist/physician.
Key Evaluation Priorities: What Wins the Grant?
Because the consortium only selects top-tier international frameworks, review panels place major emphasis on:
- AI Centrality: Artificial intelligence or machine learning cannot just be a buzzword in your appendix; it must sit at the absolute core of your experimental design.
- Scalable Data Strategy: Clear frameworks on how your team will leverage high-dimensional biomedical datasets using AWS architecture to scale global clinical decisions.
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