Job Title: Medical Intern – Health & Technology Internship Duration: 2 Months Organization: Eka Care About Eka Care Eka Care is a rapidly growing health-tech startup dedicated to building AI-powered tools that enhance clinical workflows and improve health outcomes. We combine clinical expertise with technological innovation to drive meaningful change in healthcare across India. Position Overview This two-month internship offers MBBS students and graduates a unique opportunity to explore how clinical knowledge interfaces with artificial intelligence. Interns will contribute to the development and evaluation of medical datasets that power next-generation Health LLMs (Large Language Models). This role provides first-hand exposure to the intersection of medicine, data science, and AI product development. Key Responsibilities • Medical Dataset Curation: Support the creation and curation of clinical datasets used for evaluating AI models and medical LLMs. • Quality Control: Validate and refine datasets for completeness, consistency, and accuracy across various clinical domains. • Ontology Familiarity: Learn and apply standard medical terminologies such as SNOMED CT and LOINC where relevant. • Collaborative Research: Work closely with the data science and AI teams to bridge clinical insights with computational methods. Who Should Apply • MBBS students (any year) or graduates • Interested in digital health, medical data, and AI applications • Strong grasp of medical terminology and documentation • Detail-oriented, analytical, and eager to work in an interdisciplinary environment • Desirable: Ability to read and write in Gujarati,Telugu, Hindi, or any other major Indian language What You’ll Gain • Hands-on experience at the intersection of medicine, data, and AI • Exposure to health data curation and evaluation for large language models • Understanding of clinical data standards and ontologies • Opportunities to collaborate with data scientists and AI researchers • Mentorship from experienced professionals in a fast-paced health-tech ecosystem.