Postdoc in Computational Cancer Genomics

Employer description

More information: http://www.nf.mpg.de

The research group is a highly dynamic and competitive research lab with multiple collaborations involving global leaders in the area. The research is focused on understanding functional, cell biology aspects of cancer genomics. Max Planck Institute for Neurological Research applies high-density SNP arrays to the analysis of gene copy number changes, as well as expression arrays and gene mutation analyses to generate genetic profiles of large tumor collections. Their approach is focused on computational biology and molecular cell biology methods to understand the biological impact of such genetic alterations. In particular, they are currently analyzing the world’s largest cohort of lung tumors by SNP arrays, expression arrays and mutation profiling. Furthermore, they are currently sequencing all coding exons of the human genome in a rare cancer type using next-generation sequencing.

Job description

Max Planck Institute for Neurological Research is looking for a talented, curious and experienced computational biologist with a strong interest in cancer genomics and cancer biology. The successful candidate will be an integral part of the lab composed of computational biologists, cell biologists and oncologists. Rather than providing service to other people, the new hire will be involved in developing novel concepts for analysis of highly complex and orthogonal data sets in order to gain insight into cancer biology.

Job requirements

The position requires a PhD or MD degree in a relevant field, such as physics, mathematics, cancer research, computational biology, biostatistics or oncology. Profound experience in computational biology as well as programming skills are mandatory. Candidates should have a genuine interest in cancer biology and should be capable of driving projects with a high degree of independence.

Job benefits

Most of the work is centered around gene-copy number, gene expression, gene mutation, drug response and next-generation sequencing data. The laboratory has already amassed large amounts of data, ready to be analyzed.

Apply information

Please submit your application including a detailed CV, list of publications, two references, and a brief statement of research interests as a single .pdf file by email only to: 

• Roman Thomas
  E-mail: nini@removethis.nf.mpg.de

Application deadline: May 31, 2010

For further information please contact:

• Roman Thomas
  E-mail: nini@removethis.nf.mpg.de
• Martin Peifer
  E-mail: peifer@removethis.nf.mpg.de