KEYONIQ

Internship – Health Data Curation for Clinical AI

Posted: 7 hours ago

Job Description

About the ProjectWe are building an AI-powered platform to model clinical guidelines in the domain of preventive medicine and longevity. Our goal is to extract structured, machine-readable knowledge from medical guidelines and research papers, enabling clinicians and researchers to use them programmatically in decision support systems.We are looking for motivated and detail-oriented interns to assist in the extraction of structured data from clinical guidelines, ideally starting as soon as possible. You will work with formal medical recommendations issued by professional societies or expert panels, and use AI-assisted tools (like large language models) to help convert them into structured, machine-readable formats, following a well-defined schema.What You’ll DoRead clinical guidelines and research papers in preventive and lifestyle medicineIdentify and extract structured knowledge from clinical guidelines across key categories (e.g., preventive interventions, diagnostic/screening criteria, dosing strategies, contraindications/safety stops)Validate consistency and coverage with support from the project leadCollaborate in defining edge cases and refining extraction protocolsWhat We’re Looking ForMinimum Bachelor’s degree in medicine, biomedical sciences, public health, bioinformatics, data science, or related fieldInterest in clinical decision support, evidence-based medicine, or digital healthAbility to read and interpret medical guidelines and academic papersExperience in prompt engineering: using large language models (LLMs) via web tools (e.g., ChatGPT, Claude, Gemini) to generate or review guideline summaries and assist in knowledge structuringAttention to detail, precision, and willingness to follow structured annotation instructionsBasic comfort with structured formats like JSON (or willingness to learn)Familiarity with basic software engineering concepts (versioning, collaborative editing, file standards)Fluency in English; additional languages a plusBonus PointsPrevious work with clinical data standardsInterest in longevity science or preventive careContract Length3 months, with the possibility of extension and expanded responsibilities based on performance and project needs.Why Join Us?Work on real-world medical AI with measurable impactLearn how clinical guidelines are transformed into executable knowledgeCollaborate with experts building next-gen health infrastructureGain mentorship, hands-on experience, and a standout project on your CVTo Apply:Send your CV and a cover letter only via LinkedIn.

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