{"id":1116643,"url":"https://alion.io/job/doctolib-medical-data-intern-xfm-2","title":"Medical Data Intern (x/f/m)","company":{"id":52886,"name":"Doctolib","domain":"doctolib.fr","url":"https://alion.io/company/doctolib","size_band":"1001-5000","is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":87,"open_postings":25,"ghost_share":0,"stale_share":0.32,"repost_share":0,"time_to_fill_p50_days":81,"computed_at":"2026-09-23T05:45:00Z"}},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","work_mode":"hybrid","remote_scope":null,"hiring_geo_confidence":"explicit","locations":["Berlin, Germany"],"countries":["DE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":33000,"max_usd":54000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":9},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Google Sheets","optional":false},{"name":"BigQuery","optional":true},{"name":"Claude","optional":true},{"name":"Dagster","optional":true},{"name":"dbt","optional":true},{"name":"GCP","optional":true},{"name":"Google BigQuery","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-09-22T14:45:06Z","employer_posted_date":"2026-09-22","last_verified_at":"2026-09-23T13:59:08Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Medical Data Intern (x/f/m)\nSet a new pulse for healthcare!\nWe are looking for a Medical Data Intern to join the Terminology and Ontology team within the Medical Excellence department at Doctolib inBerlin.\nAt 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.\nWhat you'll do\nYour responsibilities include but are not limited to:\nCollect 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.\n\nAdapt medical labels to create versions that are understandable to patients and healthcare professionals.\n\nTranslate labels from English into German.\n\nMap medical lists of terms across different products.\n\nSelect and filter terms, then validate your choices with medical experts.\n\nShare your work and methodology with the Terminology and Ontology team and product teams.\n\nDeliver sets of terms to technical teams in the correct format.\n\nAbout our data environment\nOur 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.\n\nOur stack is composed of Dagster, dbt, Google Cloud Platform, BigQuery, and other technologies.\n\nWe 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!\n\nIf you would like to find out more about tech life at Doctolib, feel free to read our latestMedium blog articles!\nWho you are\nBefore 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.\nYou could be our next teammate if:\nYou have medical skills gained through a diploma or degree that includes medical-domain learning.\n\nYou have knowledge of data management.\n\nYou are familiar with medical terminologies such as ICD-10 and SNOMED CT.\n\nYou have strong spreadsheet skills, including Google Sheets or Excel and the use of formulas.\n\nYou are attentive to detail and demonstrate rigour in your work.\n\nYou speak German and English, which is a must have for this role.\n\nNice to have:\nExperience using AI tools such as Claude.\n\nPython programming skills.\n\nAdditional depth of medical knowledge.\n\nDutch language skills.\n\nWhat we offer\nA 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.\n\nRegular breakfast in the office and subsidies for your lunch or grocery shopping.\n\nA Deutschlandticket sponsored by Doctolib, or reimbursement of your semester ticket.\n\nA flexible workplace policy offering up to 2 days of hybrid work per week.\n\nThe interview process\nAn interview with our Talent Partner (30 minutes).\n\nAn interview with the hiring manager (30 minutes).\n\nJob details\nContract Type: Internship (Mandatory/Voluntary)\n\nWorking Time: Full-time\n\nDuration: 6 months\n\nWork model: Hybrid\n\nLocation: Berlin, Germany.\n\nExpected start date: January 2027 \n\nAt 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.\nWe 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.\nTo 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.\nData privacy\nAll 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.","description_format":"text","description_chars":4401,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"Dutch","level":"All levels","optional":true},{"language":"German","level":"All levels","optional":false},{"language":"English","level":"All levels","optional":false}]},"benefits":["Flexible schedule","Hybrid work"],"hiring_locations":[{"name":"Germany","iso":"DE","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-22T16:14:24Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":81,"reasons":["conf:0","velocity","win:early","comp:junior,brand"],"computed_at":"2026-09-23T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/doctolib-medical-data-intern-xfm-2","json_url":"https://alion.io/job/doctolib-medical-data-intern-xfm-2.json","meta":{"generated_at":"2026-09-23T14:41:02Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}