C10 LabsPosted today

AI Fellow | Healthcare and Biotechnology

AI Fellow | Healthcare and Biotechnology at C10 Labs scores 6 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

New York City, New YorkPart Time

AI in this role

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.

What You Will Do

• Research emerging opportunities across healthcare, biotechnology, therapeutics, and life sciences.
• Identify clinical, scientific, operational, and commercial challenges that could be addressed with AI.
• Conduct market research, competitive analysis, and customer discovery.
• Evaluate startups, founders, technologies, and potential venture concepts.
• Map hospitals, health systems, biotechnology companies, pharmaceutical companies, research institutions, and potential pilot partners.
• Identify clinical, scientific, regulatory, and commercial stakeholders.
• Support founders with product positioning, clinical use cases, pilot development, and commercialization.
• Help prepare company profiles, research briefs, presentations, and investor materials.
• Participate in founder meetings, mentor sessions, and program activities.
• Track project milestones, findings, and recommended next steps.

What We Are Looking For

Current graduate student, recent graduate, researcher, clinician, operator, or industry professional.

• Experience or academic exposure in healthcare, biotechnology, biology, medicine, public health, computer science, AI, or a related field.
• Understanding of AI, machine learning, data science, or computational methods.
• Strong research, analysis, and communication skills.
• Ability to translate scientific or clinical concepts into practical business opportunities.
• Interest in startups, venture creation, and early-stage company building.
• Ability to work independently in an ambiguous and fast-moving environment.

RELEVANT EXPERIENCE MAY INCLUDE

• Healthcare delivery and clinical workflows
• Biotechnology and therapeutics
• Computational biology and bioinformatics
• Drug discovery and development
• Diagnostics and medical devices
• Digital health and clinical decision support
• Healthcare data and infrastructure
• Patient engagement and remote monitoring
• Regulatory strategy
• Clinical research and trial operations