Eka.care
Medical Intern – Health & Technology Internship
Bengaluru, India
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- Seniority
- Internship
- Country
- IN
- Work mode
- On-site / unstated
- First seen by hirly
- 23 Sept 2026
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the posting
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.
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