Overview
Postdoctoral Fellow in Cancer Prevention role at DKFZ German Cancer Research Center. The German Cancer Research Center (DKFZ) is Germany’s largest biomedical research institution and a member of the Helmholtz Association. With over 3,000 employees across more than 100 divisions, DKFZ is a global leader in cancer research dedicated to uncovering disease mechanisms, identifying risk factors, and advancing prevention, diagnosis, and treatment.
Role: This is a full-time, on-site position for a Postdoctoral Fellow in the Risk Adapted Cancer Prevention Group at DKFZ in Heidelberg. The fellow will contribute to cutting-edge research on risk-adapted cancer screening, focusing on tailoring screening strategies based on individual risk factors such as race, ethnicity, family history, medical history, and socioeconomic status.
Responsibilities
- Lead projects on race-adapted starting age for colorectal, breast, or prostate cancer screening
- Collaborate internationally through the ACED consortium, including institutions like Cancer Research UK, Dana-Farber, and University of Cambridge
- Publish in high-impact journals and contribute to grant writing
- Present findings at international conferences and workshops
- Work with Prof. Mahdi Fallah, an internationally recognized expert with >90 peer-reviewed publications
- Be part of a team whose work has received global media attention (e.g., CNN, Medscape) and exceptional Altmetric scores
- Contribute to a paradigm shift in cancer screening policy—from one-size-fits-all to personalized, risk-adapted approaches
- Benefit from mentorship, international collaboration, and support for independent funding applications
- Maintain a strong commitment to addressing equity in cancer prevention through innovative research
Qualifications
- Ph.D. in Epidemiology, Biostatistics, Public Health, Bioinformatics, or related field
- Strong background in cancer epidemiology, risk prediction, or health disparities
- Proficiency in statistical software (SAS preferred, or R, Stata, SPSS)
- Experience with machine learning or multi-omics data is a plus
- Proven publication record in peer-reviewed journals
- Excellent communication and collaboration skills
- Motivation to address equity in cancer prevention through innovative research
Employment details
- Location: Heidelberg, Germany
- Employment type: Full-time