Position: Computer Scientist in Digital Cancer Prevention

Department: Medical Image Computing - "Digital Cancer Prevention"-Group

Code number: 2021-0418

The German Cancer Research Center is the largest biomedical research institution in Germany. With more than 3,000 employees, we operate an extensive scientific program in the field of cancer research.

Within the “National Cancer Prevention Center”, a strategic partnership between German Cancer Aid and German Cancer Research Center (DKFZ), a position as computer scientist is to be filled at DKFZ.

The DKFZ and German Cancer Aid have entered into a long-term strategic partnership to establish the “National Cancer Prevention Center”, an innovative pilot facility providing impactful contributions to reduce the burden of cancer. In a comprehensive approach, the National Cancer Prevention Center integrates prevention research, education and training, as well as evidence-based policy advice and outreach. At the heart of the center is a pilot prevention outpatient clinic where innovative prevention measures and intervention studies based on the latest research findings will be developed, in addition to providing individual consultations on how to stay healthy. Nationwide prevention programs will be developed and made available through technology applications or in cooperation with other partners. 

Working in the highly dynamic and exciting area between AI and medical research, we are seeking a motivated computer scientist or software engineer to join our team for a full-time position. You will be part of an interdisciplinary and vibrant research team that is pioneering research in machine learning and information processing, with the particular aim of improving cancer prevention. The team is developing a diverse range of state-of-the-art methodology and software components. In this project you have the possibility to dive into computing and software engineering as well as to work with machine learning and cloud technologies.


Job description:

  • Join the design and software development team and work on the integration of risk prediction models for personalised cancer prevention
  • Communicate within an interdisciplinary team including domain experts 
  • Enable content generation through development of suitable digital prevention tools at the NCPC 
  • Bring the developments into our cloud platform for large-scale application
  • Publish and present the project results


  • Master's degree in informatics or a related scientific discipline (e.g. computer science, mathematics, physics or statistics)
  • Strong analytical and software development skills are essential
  • Experience with programming / scripting languages (e.g. C++ and Python) is essential
  • Experience with machine learning and associated software stacks is beneficial
  • Experience with high-performance computing environments and cloud technologies is beneficial
  • Reliability, attention to detail, communication skills and the ability to work in a multidisciplinary international team will be expected

Interested and qualified applicants should at least submit a cover letter with references, a curriculum vitae and degrees.


We offer:

  • Interesting, versatile workplace
  • International, attractive working environment
  • Campus with modern state-of-the-art infrastructure
  • Salary according to TV-L including social benefits
  • Possibility to work part-time
  • Flexible working hours
  • Comprehensive further training program

Earliest Possible Start Date: as soon as possible

Duration: The position is initially limited to 2 years with the possibility of prolongation.

The position can in principle be part-time.

Application Deadline: 08.02.2022


Prof. Dr. Klaus Maier-Hein
Phone +49 (0)6221/42-2354

Please note that we do not accept applications submitted via email.

The DKFZ is committed to increase the proportion of women in all areas and positions in which women are underrepresented. Qualified female applicants are therefore particularly encouraged to apply.

Among candidates of equal aptitude and qualifications, a person with disabilities will be given preference.

To apply for a position please use our online application portal (https://www.dkfz.de/en/stellenangebote/index.php).

We ask for your understanding that we cannot return application documents that are sent to us by post (Deutsches Krebsforschungszentrum, Personalabteilung, Im Neuenheimer Feld 280, 69120 Heidelberg) and that we do not accept applications submitted via email. We apologize for any inconvenience this may cause.