Scientific Coordinator / Postdoc in Digital Cancer Prevention
Reference number: 2025-0288
- Heidelberg
- Full-time
- Computational and Molecular Prevention
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.
The DKFZ is a place where the brightest minds pursue bold ideas and seek answers to pioneering scientific questions through collaboration, innovation, and exploration across many disciplines. We provide a dynamic environment which empowers excellence with state-of-the-art technologies, cutting edge infrastructure, and a global scientific network.
Contribute your knowledge, vision, and dedication to create a space where scientific discovery in cancer research is transformed into benefits for human health.
Within the “National Cancer Prevention Center”, a strategic partnership between the German Cancer Aid and the German Cancer Research Center (DKFZ), the following position is available in the Department "Computational and Molecular Prevention" of the DKFZ:
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, 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.
This position will suit someone who enjoys employing risk models to develop tools of immediate practical benefit.
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 teamwork 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
We Offer
Excellent framework conditions: state-of-the-art equipment and opportunities for international networking at the highest level
Remuneration according to TV-L incl. occupational pension plan and capital-forming payments
30 days of vacation per year
Flexible working hours
Possibility of part-time work
Family-friendly working environment
Sustainable travel to work: subsidized Germany job ticket
Our Corporate Health Management Program offers a holistic approach to your well-being
Develop your full potential: access to the DKFZ International Postdoc Program and DKFZ Career Service with targeted offers for your personal development to further develop your talents
Are you interested?
Then become part of the DKFZ and join us in contributing to a life without cancer!
Dr. Angela Teresa Filimon Goncalves
Phone: +49(0)6221/42-1280
Applications by e-mail 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.