Postdoc in Causal Inference and Data Scientist Positions in Clinical AI, Sepsis Prediction, and Secondary Data Analysis University Medical Center Mannheim in Germany

University Medical Center Mannheim is advertising two research positions in a BMFTR-funded project focused on clinical AI, secondary data analysis, and predictive modeling for sepsis and other clinically relevant endpoints.

Open roles: Postdoc in Causal Inference (2 years, extendable) and Data Scientist (3 years, extendable).

Research focus: The project sits at the intersection of epidemiology, computer science, and medicine, with work on causal inference methods, real-world health data, clinical time series, and methods to make AI models less of a black box.

Postdoc profile: Applicants should have a PhD in epidemiology, psychology, or a related medical-sector field with a strong quantitative background, plus substantial causal inference experience and programming skills in R, SAS, and/or Python.

Data scientist profile: Applicants should have a degree in mathematics, statistics, computer science, epidemiology, or a related quantitative field, with experience in secondary data analysis, data management, and programming in R, SAS, and/or Python.

Funding and conditions: The project is funded by the Federal Ministry of Research, Technology and Space (BMFTR). Employment is initially limited, with the possibility of extension. Compensation follows TV-L and includes public-sector pension coverage (VBL).

Application: Deadline for both positions is 2026-07-15. Applications must be submitted via the official portal using the Apply button on each vacancy page.

Institution: University Medical Center Mannheim, affiliated with Heidelberg University.