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The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers.
Job Responsibility:
Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Design complex clinical scenarios, evaluate model decision-making for safety and accuracy, and shape reasoning frameworks through structured, example-driven feedback
HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains
Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition
Requirements:
Medical degree required (MD, DO) with board certification
open to residents, practicing clinicians, or those with extensive clinical experience
Strong clinical reasoning and writing skills, with the ability to assess complex, nuanced, or edge-case scenarios
Detail-oriented, innovative thinker with a passion for financial technology and a commitment to collaboration
Nice to have:
Prior experience with AI is not required, but a plus
What we offer:
Advance Medical AI Solutions: Apply your clinical expertise to tackle complex, real-world healthcare challenges where your judgment shapes advanced AI reasoning and patient care decisions
Professional Development: High-impact medical experts expand their influence through review projects, advisory roles, and research—while deepening their AI expertise, enhancing clinical reasoning skills, and gaining hands-on experience with cutting-edge healthcare AI technologies
Join a Top-Tier Network: Collaborate with a global network of academics and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions
Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments