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Clonal evolution of blood cancer

The challenge
While the evolutionary nature of cancer is well established, it is challenging to generate and analyze data to quantify the dynamics of this Darwinian process. This is a clinical problem, for example when therapy-resistant cancer cells regrow after an initially successful treatment. Hence, patients die because the tumor is able to evolve. Hematologic neoplasms such as leukemia and lymphoma are well suited to study this process, because intact cells can be sampled and studied in detail over the course of the disease. Within this project, genetic barcoding methods and analysis will be established to track clonal evolution of acute myeloid leukaemia (AML) in patient-derived xenograft mouse models in the presence and absence of therapeutic selection pressure (A05; Jeremias). Furthermore, single-cell genotyping and phenotyping (RNA-seq) will be done on AML patient samples before and after therapy to track clonal evolution and its associated phenotypes (A06; Klaus Metzeler). These technologies and their analysis will be implemented in the Enard lab (A14) in close collaboration with the other two groups.
For further information please see www.sfb1243.bio.lmu.de, Metzeler lab, Jeremias lab and Enard lab
Your Responsibilities
  • Optimize genetic barcoding  design, readout and analysis for tracking clonal composition of patient-derived AML xenografts
  • Optimize assays for quantifying clonal composition in AML samples
  • Analyze clonal heterogeneity of AML patients and xenograft models
Your Opportunities
  • A highly innovative and challenging project at the interface between genomics, bioinformatics, and clinical medicine.
  • We offer a highly interdisciplinary environment for state-of-the-art genomic technologies and translational research within the groups and within the Collaborative Research Centre (SFB) 1243.
  • You will be part of the Integrated Research Training Group (IRTG), a structured graduate program committed to providing an excellent all-round graduate education.
Your profile
  • Candidates should hold a diploma or a master’s degree in biology, molecular biomedicine, biotechnology, or a related subject.
  • You are highly motivated, team-oriented graduate, capable of independent working with a strong background in molecular biology.
  • Experience in scripting, statistical analyses and/or genomic analyses is advantageous.
Online applications are now being accepted until February 21, 2016. Please apply solely via http://portal.graduatecenter-lmu.de/ocgc/sfb1243. Choose A14 as priority.
The position should start as soon as possible and is for a period of 3-4 years. The LMU is an equal opportunity employer. Preference will be given to suitably qualified female applicants or handicapped people, all other considerations being equal.

Contact detail

How to apply:
Send application to
Prof. Dr. Wolfgang Enard Anthropology and Human Genomics, Chair Department Biology II Ludwig Maximilians University Munich Grosshaderner Str. 2 D-82152 Martinsried E-mail: enard@bio.lmu.de

Job profile

Working hours
Contract duration
Type of job
PhD Project
Work experience
job experience is not required
Germany (Bayern)
Working place
82152 Planegg - Martinsried
Area of expertise
Biology & Life Sciences