德国海德堡全球卫生研究所博士后研究员职位

Postdoctoral Researcher For The Heidelberg Institute Of Global Health (M/F/D)

Heidelberg University Hospital

The position is limited to 3 years, with the possibility of an extension. The salary is paid according to the German TV-L system (the salary agreement for public service employees).

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 Heidelberg University and Stanford University. The group works on a wide variety of research, with foci being medication effectiveness, health services research, and population health issues. One key data source for these projects is household survey data, particularly the Demographic and Health Surveys. The group is also working on randomized intervention studies in low- and middle-income country settings, electronic health record data, and the re-analysis of clinical trial data. The researcher 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.

As an equal opportunity employer, the HUK is committed to increase 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)

We offer

Target-oriented individual further education and training opportunities

Targeted training on the job

Ticket for public transport

Possibility of child care (crèche and kindergarten) as well as subsidy for holiday care for school children

Active health promotion

Company pension scheme

Access to the university library and other university facilities (e.g. university sports)

Contact & Application