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$11k – $18k per year (Estimated)
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In office (Bengaluru)
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Eka Care provides a personal health record and clinic management platform. Patients store prescriptions and reports while doctors manage consultations digitally. The company integrates with national digital health infrastructure.

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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