Clinical AI Intern
About The Position
Anterior is on a mission to transform healthcare administration, making it seamless and invisible so clinicians can focus on delivering care. We've built an AI-powered platform designed by clinicians, for clinicians, to simplify administrative workflows and improve patient outcomes. By combining clinical expertise with cutting-edge technology, we're revolutionizing healthcare operations with responsible AI. We're growing rapidly and are backed by world-class investors including Sequoia, New Enterprise Associates (NEA), and Neo along with notable angels including the founders of DeepMind, Google AI, and Inflection AI. Anterior is improving the experience of healthcare for everyone. We're working on the cutting edge of using technology to make clinical decision-making frictionless. We're building exciting tech for huge customers and we trust in the foundations: keep it simple, build strong foundations, and the rest will follow.
Requirements
- Graduate student in biomedical informatics, health informatics, clinical informatics, or a related field; or an MD, MD/PhD, or PhD student with clinical knowledge
- Comfortable reading and reasoning about clinical policy content
- Strong attention to detail, particularly for QA and validation work
- Technically fluent enough to learn and run scripts, and to work within structured data and logic representations
- Comfortable with ambiguity and evolving processes
- Interest in AI, clinical decision support, or health policy systems
Nice To Haves
- Coursework or experience in knowledge representation, knowledge engineering, or structured clinical logic
- HIPAA training or clinical research experience
- Familiarity with healthcare standards or terminologies (e.g., CPT, ICD, clinical guidelines)
Responsibilities
- Use our proprietary technology to transform clinical guidelines into structured reasoning graphs, and ensure structural quality
- Validate that structured policy representations faithfully capture the intended clinical logic
- Configure and prepare policy representations for production deployment
- Surface edge cases, ambiguities, and logic gaps across policy representations
- Contribute to the broader policy transformation pipeline, including working with engineering tools and evolving technical workflows
- Collaborate with the team on a potential publication related to policy digitization methods and outcomes
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What This Job Offers
Career Level
Intern
