Epidemiologist

Position: Epidemiologist

Department: Cancer Epidemiology

Code number: 2021-0031

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

Applications are invited for an epidemiologist to work on projects related to early detection and screening of lung cancer within the Division of Cancer Epidemiology.

The Division of Cancer Epidemiology conducts studies within several prospective cohorts and cohort consortia in Germany, Europe and the USA, and is also involved in randomized trials to test approaches for lung cancer screening by low-dose computed tomography (LDCT). Main areas of research include the development of absolute risk prediction models, and studies for the identification and validation of markers for early cancer detection.

Job description:

The successful candidate will contribute to ongoing studies as well as the design, logistic organization and analyses of new projects. The main duties of the post include:

To perform studies for the evaluation of candidate biomarkers of lung cancer risk and early detection
To develop and evaluate general population models of lung cancer risk prediction
To develop and cross-validate diagnostic algorithms for early lung cancer detection, combining data on individual cancer risk factors, imaging data and biological markers
To prepare papers for refereed journals and other academic outputs
To assist with the logistic organization of new projects on lung cancer screening, based on international data pooling

Requirements:

Applicants must have a PhD degree or equivalent training and experience in epidemiology or biostatistics, and experience in the design and analyses of large-scale epidemiological and/or clinical studies. Good knowledge of the German language is an advantage. The candidates will need to have enthusiasm for disease related research, and excellent working knowledge of statistical, mathematical and database packages – in particular SAS and R.

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

Earliest Possible Start Date: as soon as possible

Duration: The position is limited until 31.12.2023.

The position can in principle be part-time.

Application Deadline: 03.03.2021

Contact:

Prof. Dr. Rudolf Kaaks
Phone +49 (0)6221/42-2219

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

The DKFZ is committed to increase the proportion of women in all areas and positions in which women are underrepresented. Qualified female applicants are therefore particularly encouraged 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 (https://www.dkfz.de/en/stellenangebote/index.php).

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.