Peter L. Reichertz Institut für Medizinische Informatik

Research Assistant(f/d/m) in Computerized Clinical Decision Support

The Hannover Medical School (MHH), with about 10.000 employees the biggest company of Lower Saxony, is a university institution for research and teaching in the human and dental medicine and a university hospital of supra-maximum medical care. Research, teaching, medical care and administration work hand in hand in the integration model at the MHH-campus.
The Peter L. Reichertz Institute for Medical Informatics (PLRI) of TU Braunschweig and Hannover Medical School offers a position as Research Assistant (Full Position, E13 TV-L) (f/d/m) in Computerized Clinical Decision Support to be filled at the earliest possible date. PLRI, one of the largest university-based centers for medical informatics in Germany, is a joint institute of TU Brauschweig and Hannover Medical School. As an academic institution belonging to two leading universities, comprimising an institute of technology and a medical school, located in one of Europe's most research-intensive regions, PLRI offers excellent research opportunities. We collaborate in interdisciplinary projects with health care centers, research institutes, enterprises and public organisations in order to shape the future of healthcare and medicine. Our activities ranges from the local level as with the institutions in Braunschweig and Hannover, through regional, national and global corporations.

Your Challenges and Tasks:
Clinical decision support systems can take on specific tasks in diagnostic and therapeutic processes and support medical professionals in decision-making, through the abilities to process large amounts of data in a short time and to consider individual patient profiles (genetic information, biomarkers, hundreds of laboratory values) during processing. Increasingly, such systems contain AI (Artificial Intelligence) components and predictive pathophysiological and pathobiochemical simulations that support diagnosis and therapy decisions. However, to generate trust in such components and simulations in practice is challenging and requires explainable and interpretable underlying models as well as calculated decisions and simulation results. It also demands the quantification and communication of uncertainty associated with data acquisition, model building and recommendation computation. Models are often generated in hybrid approaches blending expert modeling and learning from data, which requires (visual) guidance in modeling and verification. The maintenance of models and clinical decision support systems is crucial and demands updates to reflect new clinical knowledge and data. Finally, the utilization of clinical decisions support systems in different contexts and by different user groups (individual vs. collaborative decision-making and physicians vs. patients) requires tailored approaches.    

The successful applicant is expected to develop innovative novel approaches, publish them in high-quality scientific publications at renowned conferences and journals, establish interdisciplinary collaborations between computer scientists, engineers, physicians, and industry, and assist in the acquisition of third party funding as well as in administrative tasks of the institute.

Our requirements:
We are seeking outstanding candidates that have:
  • obtained a diploma or Master’s degree in the area of computer sciences, information systems, medical informatics, business informatics, mathematics, or a comparable course of study
  • strong programming (Python, R, etc.) and software engineering skills in at least one of the following fields:
(Clinical) Decision Support Systems
(Explainable) Artificial Intelligence
Visualization and analysis of medical image and/or clinical data
Machine learning, data mining, predictive modeling
Medical data science, medical knowledge engineering
  • excellent oral and writing skills in English and/or German
  • willingness to work closely with an interdisciplinary project team,
  • self-initiative and result-oriented working style, and experience in scientific publication is advantageous.

We offer:
  • an attractive full position (38.5 working hours per week) in a motivated, team-oriented and international research team,
  • the possibility of obtaining a PhD,
  • this full-time position is initially limited until 31 July 2024,
  • a salary according to TV-L salary group E13.

International applicants will need to complete a visa process before hiring can take place. The position is based at PLRI Campus Hannover and part of the PLRI research focus Medical Information Systems (

We will provide you with cooperative initial trainings and development opportunities as well as an extensive health program for employees. In addition, we offer reliable family support and there is a day care center for children including emergency childcare. Furthermore, you will find the usual social benefits of the public service.

You have any questions beforehand?

Prof. Dr.- Ing. Steffen Oeltze-Jafra
+49 511 532 80830

Apply now

Reference number 1050
Apply until: 11/28/2021
Karriere Familienservice FIT FOR WORK AND LIFE
The MHH is certified as family-friendly university and stands for the promotion of women in the professional life. Applications of women are particularly welcome. Severely disabled applicants with equal qualifications are given preferential consideration.