Publisher
source

University Medical Centre Mannheim

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 flag

Country

Germany

University

University Medical Centre Mannheim

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Keywords

Computer Science
Data Science
Epidemiology
Biology
Predictive Modeling
Time Series Analysis
Medical Science
Causal Inference
Clinical Informatics
Salud Pública
Statistics

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.

University Name
Country flag

Germany

Research Interests

Epidemiology

Statistics

Data Science

Causal Inference

Salud Pública