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Scientist (m/f) in Applied Health Economics

German Cancer Research Center (DKFZ). Heidelberg, 27.02.2017

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 (

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

The German Cancer Re­search Center is the largest bio­medi­cal re­search insti­tu­tion in Germany. With approx­imate­ly 2,900 em­ployees, we operate an exten­sive scien­tific program in the field of cancer research.

The Division of Health Economics is seeking to fill

Scientist Positions
in Applied Health Economics

(Ref-No. 59/2017)

A new scientific unit for health economics was established by the DKFZ effective January 2017. Located on the biomedical campus in Heidelberg, it is embedded in a highly attractive environment offering a broad spectrum of opportunities for interdisciplinary collaborations. Beyond excellent research conditions, the DKFZ and the University of Heidelberg offer an international and collegial scientific environment and access to state-of-the-art core facilities.

Consistent with the preeminent role of the DKFZ in the field of cancer research, the health economics team will be committed to making significant policy-relevant contributions to our understanding of the economic implications of cancer. The health economics unit will be dedicated to the study of the costs and benefits, including cost benefit, cost effectiveness, and social cost value analyses of malignant diseases and of health care interventions.

We are seeking now both junior and experienced candidates, ideally with a Ph.D. in economics or a related social sciences field (as a minimum, with a relevant master’s degree), with an emphasis in applications of
a) econometric techniques (notably, panel data analysis)
b) operations research methods and decision analytic modeling (such as multi-criteria decision analysis, Bayesian analysis, Markov models, discrete event simulation)
c) statistical data analysis (including management of complex databases), and/or
d) preference measurement techniques (such as discrete choice experiments, time trade-off, standard gamble, qualitative and quantitative survey methods).

Your profile:
You should have exceptional analytical skills and be able to structure complex projects. You should be prepared to work in an enthusiastic team with a strong cooperative spirit that is characterized by ambitious performance norms. Combined with high levels of mutual support and loyalty. You will be a collaborative team member, capable of striving in a highly committed team within the framework of a large research organization. Depending on your research focus, you will be familiar with at least some of the following technical tools: SQL databases, SAS, Stata, Eviews, SPSS, DATA TreeAge, PubMed / embase.

We will offer you an opportunity to learn and grow your skillset by owning the following scientific tasks
  • assist with, oversee, initiate or conduct studies in one or more of the fields mentioned above (for example, cost of illness studies, cost benefit / cost effectiveness / cost value analyses, utility and preference measurement)

  • prepare near-final or final drafts of study protocols, basic report sections, reports, and manuscripts

  • maintain familiarity with current scientific literature, co-author and author presentations for scientific conferences and manuscripts for scientific journals

  • write and/or review project proposals and grant applications, including budgets

The positions are initially limited to two years, with
possibility for extension. The positions can
in principle be part-time.

For further information please contact
Prof. Michael Schlander,
phone +49 6221 42-1910.