DM.87.22 Wiss. Mitarbeiter:in (Data Scientist) (m/w/d)

  • Charité
  • Berlin, Germany
  • 25/04/2022
Full time Data Science Big Data Data Management Biostatistics

Job Description

Full job description

Company Description

The Charité - Universitätsmedizin Berlin is a joint institution of the Freie Universität Berlin and the Humboldt Universität zu Berlin. As one of the largest university hospitals in Europe with an important history, it plays a leading role in research, teaching and patient care. But the Charité also stands out as a modern company with certifications in the medical, clinical and management sectors.

Job Description

operation area

Image evaluation using artificial intelligence (AI) methods is becoming increasingly important in medicine. Within medical diagnostics, radiology is a main area of ​​application for AI. RACOON, the project that you will be instrumental in shaping, is the largest network project in the field of medical image processing to date. An accompanying doctorate can be arranged.

area of ​​responsibility

  • The aim of the project is to set up a university medical research infrastructure for the COVID-19 pandemic with a focus on medical image diagnostics (RACOON | Netzwerk Universitätsmedizin ( RACOON, the Germany-wide Radiological Cooperative Network (RACOON - Radiological Cooperative Network) is playing a pioneering role in digitized medicine and has over 300 active project participants from 36 partner locations and is the basis for the design of a research infrastructure for long-term cross-university hospital cooperation.The renowned research and development partners in RACOON include the German Cancer Research Center (DKFZ) and the Technical University of Darmstadt , the Fraunhofer Institute MEVIS in Bremen, and industrial partners.
  • Participation in the development of the RACOON infrastructure and the required data flows and evaluation of the possible uses of machine learning / artificial intelligence technologies for different application areas
  • Participation in the implementation and quality assurance of projects in the field of data analytics and artificial intelligence
  • Development, maintenance and improvement of the existing architecture, the data lakes and downstream systems (e.g. data warehouse, data marts, ...)
  • Creation and expansion of ETL processes for the data and application landscape
  • Interactive collaboration with internal and external teams
  • Scientific employees are given sufficient time for their own scientific work in accordance with their employment relationship.


  • Necessary
  • Degree (Master) in (medical) computer science or in physics/mathematics/data science or comparable
  • Project experience in the field of data engineering, modeling and integration of data structures and business processes
  • Experience in dealing with commercial and open source platforms (e.g. Apache Kafka) and concepts for data management and data integration
  • Project experience with common agile process models, process methods and tools (e.g. Scrum)
  • Very good knowledge of data modeling and visualization, DevOps, design patterns and UML and in at least one of these languages: Java, C#, Python, R, Scala and SQL, database systems (RDBMS, NoSQL)
  • Desirable
  • Knowledge of standards in medical informatics and medical technology (e.g. IHE, HL7 FHIR, LOINC, etc.)
  • High level of quality awareness and a structured way of working
  • Team spirit, social skills and communication skills
  • Business fluent German and English language skills

Working Conditions & Benefits

recruitment date

from now on

length of employment


working time

39 hours per week


Salary group 13 TVöD VKA-K; The classification is based on qualifications and personal requirements. You can find our collective agreements here