Back to jobs

Medical Data Intern (x/f/m)

Berlin, Berlin, Germany

Pay
Salary not listed in the saved posting
Work setup
Unconfirmed
Employment
Unconfirmed
Apply at Doctolib

What you’ll work on

Full posting
  • Translate labels from English into German.

  • Deliver sets of terms to technical teams in the correct format.

From the employer’s posting
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.
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

What you’ll bring

All qualifications

Core experience

  • You have knowledge of data management.
  • Experience using AI tools such as Claude.
  • Python programming skills.
Qualification wording
You have knowledge of data management.
Experience using AI tools such as Claude.
Python programming skills.

Tools in this posting

  • BigQuery
  • dbt
  • Excel
  • Dagster
  • Python
  • Google Cloud (GCP)
Source — Tool mentions in context
- 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!
- 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.
- Experience using AI tools such as Claude. - Python programming skills. - Additional depth of medical knowledge.

Benefits in the posting

Full benefits wording
  • 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.
  • The interview process
  • Job details
  • 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.
  • Data privacy

From the employer’s posting.

About Doctolib

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.

In the employer’s words · Read in context

Job description

View original posting ↗

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 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.

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 German.
  • 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 German 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.
  • Regular breakfast in the office and subsidies for your lunch or grocery shopping.
  • A Deutschlandticket sponsored by Doctolib, or reimbursement of your semester ticket.
  • 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 (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.

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.

Already applied? Track this application

Source & posting history

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Berlin, Berlin, Germany

- A Deutschlandticket sponsored by Doctolib, or reimbursement of your semester ticket. - A flexible workplace policy offering up to 2 days of hybrid work per week. The interview process
More source context
- Duration: 6 months - Work model: Hybrid - Location: Berlin, Germany.
Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Status in our records
Active
First seen by us
Sep 25, 2026
Recorded sightings
11
Last seen by us
Oct 7, 2026
Employer says posted
Sep 22, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

Report an error

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.