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Qure.ai

Healthcare Data Analyst Intern

InternshipHybridMangaluru, Karnataka2 months16K/mo1 openingImmediate / Rolling

About this internship

Qure.ai is hiring a Healthcare Data Analyst Intern in Mangaluru — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to healthcare analytics rather than a certificate-only programme. About the role As a Healthcare Data Analyst Intern at Qure.ai, your core…

Skills you'll use

SQLPythonExcelHealthcare Data StandardsData VisualisationStatisticsPower BIData PrivacyClinical TerminologyReport Writing

What you'll do

  • Work on analysing clinical and operational data to improve outcomes alongside the core team
  • Apply SQL, Python, Excel, Healthcare Data Standards to live, production-facing problems
  • Document your work clearly for reviewers and stakeholders
  • Participate in reviews and act on the feedback you receive
  • Collaborate across engineering, product, design or business as required
  • Follow the team's quality, testing and documentation standards

Who can apply

  • Pursuing or recently completed B.E./B.Tech/B.Sc (Statistics, Life Sciences)/MPH/MBA — 2026 freshers & final-year students welcome
  • Working knowledge of SQL, Python, Excel (or a genuine willingness to learn them)
  • Strong fundamentals in your discipline and clear problem-solving ability
  • Care with detail and the discipline to document your work
  • Clear written and verbal communication in English
  • Based in or willing to work from Mangaluru, Karnataka

Perks & benefits

Internship CertificateLetter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflows

Interview & selection process

2 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Online aptitude / domain assessment

About Qure.ai

Qure.ai operates in the healthtech sector and has an active presence in Mangaluru. Interns here are put on real work from the start, because the team's view is that the fastest way to learn a craft is to practise it under people who already do it well — not to watch it from a distance. The work…
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