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$113k – $239k per year (Estimated)
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Remote/Hybrid (New York, United States)
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About C10 LABS

C10 Labs is an AI-native venture studio and early-stage investment firm that builds and backs applied AI companies. Headquartered in Kendall Square in Cambridge, Massachusetts, C10 partners with founders to identify high-impact opportunities, validate new ventures, and launch scalable companies.

C10 provides founders with early capital, technical and operational support, industry expertise, customer and pilot connections, mentorship, and access to a broader network of investors and strategic partners.

About AI NEXUS NYC

C10 Labs was selected by the New York City Economic Development Corporation (NYCEDC) to help operate AI Nexus NYC, a citywide initiative designed to accelerate AI innovation, company creation, and adoption across New York City’s economy.

Through the AI Nexus NYC venture studio, C10 brings together founders, startups, industry partners, investors, researchers, mentors, and technical experts to build and deploy applied AI solutions addressing real-world challenges.

The platform supports founders through venture creation, company-building programs, industry partnerships, pilot opportunities, mentorship, technical resources, and access to capital. The goal is to help founders move from promising ideas and emerging technologies to validated, scalable, and venture-backed companies while strengthening New York City’s applied AI ecosystem.

About the Role

C10 Labs is seeking an AI Fellow with experience or a strong interest in healthcare, biotechnology, life sciences, or therapeutics to support the AI Nexus NYC venture studio.

The Fellow will work with founders and the C10 Labs team to research healthcare and life sciences markets, evaluate new venture opportunities, support customer and clinical discovery, and help companies identify potential partners, pilot sites, and commercialization pathways.

This is a hands-on opportunity for someone interested in applying artificial intelligence to meaningful challenges across healthcare and the life sciences.

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