M. Lablans

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.