Postdoctoral Researcher in Quantitative Psychology / Data Science in Psychology

Postdoctoral Researcher in Quantitative Psychology / Data Science in Psychology

Reference number : 2025-0319

Heidelberg, Mannheim

Full-time

Cancer Survivorship and Psychological Resilience

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.

The DKFZ Hector Cancer Institute at the University Medicine Mannheim (UMM) was established in 2019 in the frame of a partnership between the German Cancer Research Center in Heidelberg, the University Medical Center Mannheim, and the Medical Faculty Mannheim of Heidelberg University with generous support from the Hector Foundation II. The aim is to carry out excellent translational cancer research in the fields of precision oncology, cancer prevention, early detection, and survivorship.

The newly established Division of Cancer Survivorship & Psychological Resilience within the DKFZ Hector Cancer Institute is dedicated to identifying neuropsychological resilience mechanisms in the general population and among cancer survivors, as well as developing effective and innovative prevention and intervention measures to strengthen mental health, particularly in cancer patients. We combine experimental neuropsychological methods and large-scale cohort studies to advance mechanistic resilience research in the field of cancer survivorship.

To strengthen the team in the Division of Cancer Survivorship & Psychological Resilience , we are seeking as of February 2026 a

Your Tasks

The successful candidate will use advanced quantitative methods to contribute to innovations in modeling psychological resilience among cancer survivors and populations at risk.

Your tasks will include in detail :

• Design and lead method development and statistical modelling in resilience assessment (e.g., dynamic / latent-variable models, Bayesian hierarchical models, causal inference, time-series analysis, cognitive modelling)
• Build robust, reproducible data handling and analysis workflows in R and / or Python; author reusable packages and pipelines
• Collaborate across DKFZ programs; co-supervise students; contribute to grant applications
• Publish in high-impact journals and present at international conferences
• Provide workshops and training for the research team in new analytic approaches

Your Profile

Application Process :

Interested candidates should submit the following documents as a single PDF file via our online application tool :