Position: Health Economist (Postdoc Position)

Department: Health Economics

Code number: 2020-0044

The German Cancer Research Center is the largest biomedical research institution in Germany. With approximately 3,000 employees, we operate an extensive scientific program in the field of cancer research.

Job description:

Under the direction of the Head of the Division of Health Economics at the DKFZ, the health economist will be expected to contribute to two distinct work streams. The first work stream involves acting as a key liaison with the Division’s growing network of clinician scientists and policy makers on a project-by-project basis. The role will include designing, specifying, and conducting of state-of-the-art cost effectiveness analyses (CEAs), as well as the development and specification of advanced budget impact models.

The second work stream will involve active participation in empirical studies designed to test hypotheses underlying the concept of social cost value analysis (SCVA). This will include conceptualizing, specifying, and executing experimental economic studies in order to better capture social norms and preferences in the context of health economic evaluations.

Additional tasks include contributing to and writing grant applications to fund economic evaluation of health interventions and related projects.


We are seeking a highly motivated, conscientious and diligent scientist, who is flexible, dynamic, and able to work with autonomy to drive his / her individual projects forward while also contributing to the division of health economics as an integral team member.

  • The successful candidate will have a recent or expected degree in health economics, economics, decision science, statistics, mathematics, epidemiology, health services research, or other relevant scientific  disciplines with strong quantitative trainings (ideally PhD level).
  • The candidate should be self-motivated, productive, and team-oriented with proven scientific problem-solving skills.
  • The candidate should have experience in applied health economic evaluation, decision analysis, or a closely related field.
  • The candidate should have experience in using decision analysis software (e.g., TreeAge, advanced Excel), knowledge of other general programming languages (e.g., STATA, R, SAS in software knowledge) would be helpful.
  • The candidate should also have excellent verbal and written communication skills in English and German.
  • Ideally, the candidate will have strong statistical and/ or predictive mathematic modelling skills.
  • Creativity and critical thinking skills used to challenge ideas are expected.
  • The ability to work well in a collaborative, cross-functional team is required.

We offer:

  • Interesting, versatile workplace
  • International, attractive working environment
  • Campus with modern state-of-the-art infrastructure
  • Salary according to TV-L including social benefits
  • Possibility to work part-time
  • Flexible working hours
  • Comprehensive further training program
  • Access to the DKFZ  International Postdoc Program

Earliest possible start date: as soon as possible

Duration: The position is limited to 2 years with the possibility of prolongation.

The position can in principle be part-time.

Application deadline: 17.03.2020


Prof. Dr. Michael Schlander
Phone +49 (0)6221/42-1910

Please note that we do not accept applications submitted via email.

The German Cancer Research Center is committed to increase the percentage of female scientists and encourages female applicants to apply. Among candidates of equal aptitude and qualifications, a person with disabilities will be given preference.                           

To apply for a position please use our online application portal (www.dkfz.de/jobs).

We ask for your understanding that we cannot return application documents that are sent to us by post (Deutsches Krebsforschungszentrum, Personalabteilung, Im Neuenheimer Feld 280, 69120 Heidelberg) and that we do not accept applications submitted via email. We apologize for any inconvenience this may cause.