Scientific Coordinator / Postdoc in Digital Cancer Prevention

Job Description

The German Cancer Research Center (DKFZ) is one of Europe’s largest cancer research centers. “Research for a life without cancer" is the mission of our world-class scientists and all our team members.

We investigate how cancer develops, identify cancer risk factors and search for new cancer prevention strategies. We develop new methods with which tumors can be diagnosed more precisely and cancer patients can be treated more successfully. Every contribution counts – whether in research, administration or infrastructure. This is what makes our daily work so meaningful and exciting.

Up to 40 percent of all new cases of cancer diagnosed in Germany every year could be avoided if all the scientifically proven preventive measures were implemented.

The DKFZ, the German Cancer Aid and a number of partners of the National Decade against Cancer have entered a long-term strategic partnership to establish the “National Cancer Prevention Center” (NCPC) in Heidelberg. In the new NCPC, basic, clinical, population-level epidemiologic, behavioral, social, and communication research will be integrated to enable progress in the area of cancer prevention and control.

Your Tasks

  • Curating local and international know-how on risk prediction models for personalized cancer prevention
  • Supervising the implementation of cancer risk prediction models into software tools by communicating requirements to a dedicated team of software developers
  • Working with nurses, medical doctors, scientists, and patients to improve the way that important evidence is presented to all of them
  • Supervising content generation for digital prevention tools at the NCPC

Your Profile

  • A master's or PhD degree in epidemiology, public health, biostatistics, or a health-care related field
  • Additional training and experience in the application of epidemiological principles and practices is desirable
  • Passionate about risk communication
  • Excellent team working and communication skills
  • Dedication to bridging scientific findings into clinical practise
  • Ability to work independently and proactively with colleagues from different disciplines
  • Strong interest in utilizing innovative data collection modalities (e.g., wearables) and AI in prevention research

This position will suit someone who enjoys employing risk models to develop tools of immediate practical benefit.


Are you interested?

Then become part of the DKFZ and join us in contributing to a life without cancer!

Duration

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

Applications by email cannot be accepted.

We are convinced that an innovative research and working environment thrives on the diversity of its employees. Therefore, we welcome applications from talented people, regardless of gender, cultural background, nationality, ethnicity, sexual identity, physical ability, religion and age. People with severe disabilities are given preference if they have the same aptitude.

Notice

We are subject to the regulations of the Infection Protection Act (IfSG). Therefore, all our employees must provide proof of immunity against measles.

Job ID / Ref

2026-0185

Department

Computational and Molecular Prevention

Listing Type

Job

Application Deadline

25 Sep, 2026