Medical Data Intern: AI & Terminology in Milan

Doctolib

Lombardia

Hybrid

EUR 11,000 - 17,000

Full time

14 days+

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Benefits offered by this job

Electronic meal vouchers
Office gym access
Public transportation reimbursement
Hybrid work policy

Job summary

Doctolib is seeking a Medical Data Intern to join the Terminology and Ontology team in Milan. You will help make medical information clear and structured across products for patients and professionals, with a focus on translating terms and mapping across platforms.

The internship lasts 6 months with a hybrid work model, compensation of 1,000 per month, and start planned for January 2027 in Milan, Italy. You will work with cloud-based tools and AI-enabled pipelines to support multilingual medical

Qualifications

  • Interest in medical data and terminology mapping.
  • Willingness to translate medical labels from English into Italian.
  • Ability to collaborate with medical experts to validate terms.

Responsibilities

  • Collect and format sets of medical terms based on ICD-10 and SNOMED CT.
  • Adapt labels for patients and professionals.
  • Translate labels from English into Italian.
  • Map term lists across different products.
  • Select and filter terms, then validate with medical experts.
  • Share your work and methodology with the Terminology and Ontology team and product teams.
  • Deliver sets of terms to technical teams in the correct format.

Skills

Python programming
AI tools (Claude)
Dutch language skills

Education

Tools

Dagster
dbt
Google Cloud Platform
BigQuery

Job description

Doctolib is seeking a Medical Data Intern to join the Terminology and Ontology team in Milan. You will help make medical information clear and structured across products for patients and professionals, with a focus on translating terms and mapping across platforms.

The internship lasts 6 months with a hybrid work model, compensation of 1,000 per month, and start planned for January 2027 in Milan, Italy. You will work with cloud-based tools and AI-enabled pipelines to support multilingual medical

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