Position: Epidemiologist
Abteilung: Cancer Epidemiology
Kennziffer: 2021-0031
Das Deutsche Krebsforschungszentrum ist das größte biomedizinische Forschungszentrum Deutschlands. Mit über 3.000 Beschäftigten betreiben wir ein umfangreiches wissenschaftliches Programm auf dem Gebiet der Krebsforschung.
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.
Ihre Aufgaben:
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
Ihr Profil:
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.
Wir bieten:
- Interessanten, vielseitigen Arbeitsplatz
- Internationales, attraktives Arbeitsumfeld
- Campus mit modernster State-of-the-art-Infrastruktur
- Vergütung nach TV-L mit den üblichen Sozialleistungen
- Möglichkeiten zur Teilzeitarbeit
- Flexible Arbeitszeiten
- Sehr gute Fort- und Weiterbildungsmöglichkeiten
Beginn: as soon as possible
Befristung: Die Stelle ist bis 31.12.2023 befristet.
The position can in principle be part-time.
Bewerbungsschluss: 03.03.2021
Weitere Informationen:
Herr Prof. Dr. Rudolf Kaaks
Telefon +49 (0)6221/42-2219
Bitte beachten Sie, dass Bewerbungen per E-Mail nicht angenommen werden können.