PhD Position (f/m/d) Clinical Chemistry and Laboratory Medicine

PhD Position (f/m/d) Clinical Chemistry and Laboratory Medicine

Anticipated Start Date: 01.07.2026

Application End Date: 15.06.2026

Temporary Employment: 36 months

Working Hours: Part Time

Requisition ID: 1940

The University Hospital Carl Gustav Carus and the Faculty of Medicine together form University Medicine Dresden. It is committed to excellence in high-performance medicine, medical research and teaching as well as healthcare services for patients in the entire region.

Together for the cutting-edge medicine of tomorrow - become part of University Medicine Dresden

PhD Position (f/m/d)

at Clinical Chemistry and Laboratory Medicine

„Machine Learning and AI in clinical diagnostics and biomedical research“ at the Institute of Clinical Chemistry and Laboratory Medicine, University Hospital and Medical Faculty Carl Gustav Carus of the Dresden University of Technology.

The part-time position (26 hours per week) is available at the earliest possible date, and is limited to three years. Salary is based on the provisions of the applicable labour agreement. Depending on the personal requirements, classification in pay grade E13 is possible.

The Institute of Clinical Chemistry and Laboratory Medicine is an institute of the University Hospital Carl Gustav Carus and the Faculty of Medicine of the Technical University of Dresden.

You will work in a multidisciplinary, international environment of researchers, scientists and physicians to develop innovative, computational methods to research molecular disease mechanisms so that patients can quickly benefit from high-tech medicine. To this end, you will work in the CIOBio research group of Dr. Josch Konstantin Pauling. Here we research and develop highly innovative computational methods for precise patient stratification and molecular subtyping for improved and individually optimized health care.

Your responsibilities:

Contribution to the development and implementation of machine learning and artificial intelligence methods in clinical diagnostics and biomedical research

Application of classical statistical methods for the processing and analysis of raw data from various omics datasets

Development of innovative AI and machine learning approaches for the integration and analysis of large, multimodal datasets

Publication of scientific results in internationally recognized journals and presentation at scientific conferences

Participation in teaching activities such as lectures and seminars in the field of clinical chemistry and laboratory medicine

Your profile:

Successfully completed university degree, preferably in the fields of bioformatics, computational biology, biochemistry, biotechnology, biomedicine or comparable qualification

Very good knowledge of software engineering (web services), as well as scientific data analysis of biological data / biological data science

Very good programming skills in the programming languages Python and PyTorch, as well as R. Knowledge of JAVA is an advantage.

Good knowledge of machine learning, large language models and containers

Basic knowledge of the measurement methodology of various OMICS technologies, in particular sequencing technologies and mass spectrometry including the respective raw data analysis

General proficiency in molecular biology/medicine

Theoretical know-how, as well as basic knowledge in the planning and implementation of scientific projects, project coordination and project management

Very good English language skills written and sp