Medical Data Intern (x/f/m)
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 Milan, Italy.
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.
What you'll do
Your responsibilities include but are not limited to:
- 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 Italian.
- Map medical lists of terms across different products.
- Select and filter terms, then validate your choices 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.
About our data environment
- 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!
Who you are
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:
- You have medical skills gained through a diploma or degree that includes medical-domain learning.
- You have knowledge of data management.
- You are familiar with medical terminologies such as ICD-10 and SNOMED CT.
- You have strong spreadsheet skills, including Google Sheets or Excel and the use of formulas.
- You are attentive to detail and demonstrate rigour in your work.
- You speak Italian and English, which is a must have for this role.
Nice to have:
- Experience using AI tools such as Claude.
- Python programming skills.
- Additional depth of medical knowledge.
- Dutch language skills.
What we offer
- A structured and personalized onboarding program through our Doctolib Academy, as well as a wide range of in-house training opportunities and masterclasses throughout the internship.
- Electronic meal vouchers (€8.00 per worked day), Foorban fridges, and office breakfast.
- Free access to the gym in our Milan office, with 3 classes offered per week, including yoga, pilates, and functional training.
- Reimbursement of public transportation.
- A flexible workplace policy offering up to 2 days of hybrid work per week.
The interview process
- An interview with our Talent Partner (30 minutes).
- An interview with the hiring manager (30 minutes).
Job details
- Contract Type: Internship
- Working Time: Full-time
- Duration: 6 months
- Work model: Hybrid
- Location: Milan, Italy.
- Expected start date: January 2027
- Compensation: 1,000 per month.
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.