Źródło: CrawlJobs

Medical Data Intern (x/f/m)

Doctolib Berlin, Germany
Full-time Hybrid work

Publication date: 06/11/2026

Doctolib is looking for a Medical Data Intern to join the Terminology and Ontology team within the Medical Excellence department in Berlin. The role contributes to making medical information clear, structured, and usable across products for patients, healthcare professionals, and technical teams. The solutions are built on a fully cloud-native platform using Dagster, dbt, Google Cloud Platform, BigQuery, and other technologies.

Responsibilities

Collect and format sets of terms describing pathologies, allergies, treatments, and other medical concepts, based on standard medical terminologies such as ICD-10 and SNOMED CT; Adapt medical labels to create versions that are understandable to patients and healthcare professionals; Translate labels from English into German; Map medical lists of terms across different products; Select and filter terms, then validate choices with medical experts; Share work and methodology with the Terminology and Ontology team and product teams; Deliver sets of terms to technical teams in the correct format

Requirements

Medical skills gained through a diploma or degree that includes medical-domain learning; Knowledge of data management; Familiarity with medical terminologies such as ICD-10 and SNOMED CT; Strong spreadsheet skills, including Google Sheets or Excel and the use of formulas; Attention to detail and rigour in work; Speaking German and English (must have)

Nice to have

Experience using AI tools such as Claude; Python programming skills; Additional depth of medical knowledge; Dutch language skills

Benefits

Structured and personalized onboarding program through Doctolib Academy; In-house training opportunities and masterclasses throughout the internship; Regular breakfast in the office; Subsidies for lunch or grocery shopping; Deutschlandticket sponsored by Doctolib, or reimbursement of semester ticket; Flexible workplace policy offering up to 2 days of hybrid work per week
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