PhD student in the application of regression discontinuity to electronic health record data

Doctoral student Heidelberg Institute of Global Health (m/f/d) at the earliest possible date searched for, the Heidelberg Institute of Global Health (HIGH).

 

The position is limited to 3 years, with the possibility of an extension.

 

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 PhD ("Dr. Sc. hum.") student. The student should have quantitative research experience or training. Working remotely is possible. 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:
Under the guidance of Dr. Pascal Geldsetzer and other researchers at Heidelberg and Stanford University, the doctoral student will analyze large-scale electronic health record data from the United Kingdom or the United States. A statistical technique that is of particular interest to us in this context is regression discontinuity. The broad aim of these analyses is to establish the causal effect of commonly prescribed medications and/or clinical interventions on health outcomes, with a key focus being on how these effects differ across a wide variety of patient characteristics. The student will be expected to publish in high-impact peer-reviewed journals.

 

The doctoral student will have the opportunity to supervise Master and Dr. med (thesis as part of medical studies in Germany) students. The student will also have the opportunity to teach as part of the institute’s Masters 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 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:
• Masters degree with quantitative training or research experience. We will also consider those with a Bachelors degree only if they have relevant training and/or experience
• Training and experience in the use of regression discontinuity 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)

 

Contact & Application:
Please apply by sending a cover letter and CV to Pascal Geldsetzer at pascal.geldsetzer@uni-heidelberg.de. Please apply as early as possible because applications will be reviewed on a rolling basis.

 

Universitätsklinikum Heidelberg
Heidelberg Institut for Global Health
Dr. Pascal Geldsetzer
Im Neuenheimer Feld 130.3
69120 Heidelberg
Tel.: +49 6221 56-5040
pascal.geldsetzer@uni-heidelberg.de

Application deadline: 
22.12.2019
Contact person: 
Pascal Geldsetzer
E-Mail contact person: 
Category: 
PhD-Stipendien
Institute: 
Heidelberg Institute of Global Health