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, Marathi, Bengali, 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.
