Biostatistics position at DKFZ Heidelberg

The Division of Biostatistics at the German Cancer Research Center (DKFZ) in Heidelberg is seeking a (Bio-)Statistician/ Mathematician.

The main role of the appointee will be to perform biostatistical data analysis and method development within the project “Integrated genome, methylome and transcriptome analyses of CLL: identification of pathomechanisms, prognostic and predictive markers as well as potential therapeutic targets”.

Description:

  • Development of novel (Bayesian) methods for the integrative statistical analysis of multiple sources of high-dimensional genomic data, with a focus on risk prediction models
  • Development and application of (Bayesian) GLM and survival regression models based on high-dimensional input data for the identification of prognostic and predictive biomarkers
  • Biostatistical analysis of the data obtained in the project in close collaboration with the biomedical project partners

Your profile:

  • Masters/Diploma/PhD in (bio-)statistics, mathematics or a related discipline, with a solid background in statistical methodology and ideally Bayesian inference
  • Demonstrated experience with the analysis of high-dimensional data, in particular with applications in molecular biology, is an advantage
  • Sound statistical programming skills, preferably with R or MATLAB
  • Excellent written and oral communication skills in English
  • Strong interest in interdisciplinary research
  • You enjoy team work, but are also capable of working independently

Duration: The position is remunerated according to TV-L E13, and initially limited to a term of 2 years (with a possibility of extension, subject to availability of funding).

Application: To apply for this position please use the DKFZ online application portal (www.dkfz.de/jobs, position 46/2013). The application deadline is April 8, 2013.

For further information and enquiries, please see the attached document or contact myself (email: This email address is being protected from spambots. You need JavaScript enabled to view it., phone: (+49)6221 422212).