University Medical Centre Mannheim
4 months ago
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Postdoc in Causal Inference and Data Scientist Positions in Clinical AI, Sepsis Prediction, and Secondary Data Analysis University Medical Center Mannheim in Germany
Degree Level
Postdoc
Field of study
Computer Science
Funding
BMFTR-funded project; both positions are full-time or part-time, initially limited to 2 years for the postdoc and 3 years for the data scientist, each with option for extension. Compensation follows TV-L and includes public-sector pension (VBL).
Deadline
Expired
Country
Germany
University
University Medical Centre Mannheim
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About this position
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.
Funding details
BMFTR-funded project; both positions are full-time or part-time, initially limited to 2 years for the postdoc and 3 years for the data scientist, each with option for extension. Compensation follows TV-L and includes public-sector pension (VBL).
What's required
For the postdoc: a university degree with a PhD in epidemiology, psychology, or a related medical-sector field with a strong quantitative focus; extensive expertise in causal inference from several years of scientific work; programming skills in R, SAS, and/or Python or willingness to acquire them; commitment, flexibility, reliability, teamwork, and good English, with German as a plus. For the data scientist role: a university degree in mathematics, statistics, computer science, epidemiology, or a related quantitatively oriented field; interest in medical questions; practical experience with secondary data, preferably from several years of relevant work; programming skills in R, SAS, and/or Python or willingness to learn; engagement, flexibility, reliability, teamwork, and German and English skills.
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Professors
Prof. Dr.
Germany
Research Interests
Epidemiology
Statistics
Data Science
Causal Inference
Salud Pública
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.