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Doctolib in Berlin invites a Medical Data Intern to join the Terminology and Ontology team in the Medical Excellence department. You will help structure medical information for multiple products, focusing on ICD-10 and SNOMED CT terminology, translation, and mapping across platforms.
You will work hybrid, 6 months, start Jan 2027, with onboarding through the Doctolib Academy, training opportunities, and meal/subsidy perks. Fluency in German and English is required.
Set a new pulse for healthcare!
We are looking for a Medical Data Intern to join the Terminology and Ontology team within the Medical Excellence department at Doctolib in Berlin.
At Doctolib, we're setting a new pulse for healthcare. We create AI-powered solutions that help health professionals focus on care and help people prevent, detect, and treat health problems earlier. In this role, you will contribute to making medical information clear, structured, and usable across products for patients, healthcare professionals, and technical teams.
Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to the country and healthcare specialty requirements.
Our stack is composed of Dagster, dbt, Google Cloud Platform, BigQuery, and other technologies.
We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here and learn about our first AI hackathon here!
If you would like to find out more about tech life at Doctolib, feel free to read our latest Medium blog articles!
Before you read on, if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply.
You could be our next teammate if:
Contract Type: Internship (Mandatory/Voluntary)
Working Time: Full-time
Duration: 6 months
Work model: Hybrid
Location: Berlin, Germany.
Expected start date: January 2027
At Doctolib, we are committed to improving access to healthcare for everyone. This commitment is reflected in our hiring process, where we assess applications based solely on qualifications, potential, and motivation, without discrimination of any kind.
We believe that diverse perspectives, backgrounds, and experiences help us build better healthcare products. We welcome applications from all candidates, regardless of gender, religion, age, sexual orientation, ethnicity, or disability.
To support equal opportunities, we encourage candidates not to include unnecessary personal information, such as a photo or age, in their application. If you need any accommodation during the hiring process, please let us know and we will do our best to support you.
Data privacy All information provided is processed by Doctolib for application management. For data processing details, click here. Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.