Postdoctoral researcher for the Heidelberg Institute of Global Health (m/f/d)

The Institute of Global Health at Heidelberg University, Germany’s oldest university and a leading hub for health-related research in Europe, is looking for an outstanding postdoctoral research fellow. The researcher should have quantitative research experience or training. The researcher will work under the mentorship of Dr. Pascal Geldsetzer and receive a designation as visiting researcher at the Stanford University School of Medicine.

Tasks and responsibilities

The postdoctoral fellow will work under the guidance of Dr. Pascal Geldsetzer and other researchers at both Heidelberg University and Stanford University, including population health researchers, clinicians, and methodologists. The researcher will lead analyses in large-scale electronic health record data to determine the real-life effectiveness of certain medications, lifestyle advice, or health services interventions on health and health system outcomes. Electronic health record datasets are from the United Kingdom, USA, Denmark, and Germany. In addition to this core project, the research group works on a wide variety of research, with foci being medication effectiveness, health services research, and population health issues. Methods used in the group’s work include quasi-experimental techniques, descriptive epidemiology, and randomized trials. The fellow will be expected to publish in high-impact peer-reviewed journals.

The postdoctoral fellow will have the opportunity to supervise PhD, Master and Dr. med (thesis as part of medical studies in Germany) students. The fellow will also have the opportunity to teach as part of the institute’s Masters and doctoral program but will not be required or expected to do so.

The salary is paid according to the German TV-L system (the salary agreement for public service employees). As an equal opportunity employer, the HUK is committed to increasing the percentage of female scientists and, therefore, especially encourages female researchers to apply. Equally qualified applicants with disabilities will be given preference. Candidates from any nationality can apply.

We are open to discussing options for part-time work or working remotely.

Prerequisites

• Doctoral degree with quantitative training or research experience
• Training and experience in quasi-experimental methods is a plus
• Strong coding skills in R, Stata, or other statistical software package
• Good communication skills in English (knowledge of German is not necessary)

About us

Please apply by sending a CV to Pascal Geldsetzer at . A cover letter is not required. There is no specific deadline for the application - we hire on an ongoing basis.

Interested?

Applications will be accepted via e-mail .