PhD (SFB1243-A14): Evolution of gene expression in blood cancer

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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, gene expression evolution of acute myeloid leukaemia (AML) in patients and patient-derived xenograft mouse models in the presence and absence of therapeutic selection pressure will be investigated. This will be done with our established single-cell RNA-seq technologies (Fluidigm, SCRB-seq, Drop-seq)
For further information please see and Enard lab.
Your Responsibilities
  • Generate bulk and single-cell RNA-seq data from evolving AML samples
  • Analyse patterns of gene expression evolution with respect to clonal composition and selection pressures and quantify directional versus neutral expression evolution..
Your Opportunities
  • We offer a highly interdisciplinary environment for state-of-the-art genomic technologies and computational and evolutionary data analysis within the group 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
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.


Art des Bewerbungszugangs
Kontakt für Bewerbungen
Prof. Dr. Wolfgang Enard Anthropology and Human Genomics, Chair Department Biology II Ludwig Maximilians University Munich Grosshaderner Str. 2 D-82152 Martinsried E-mail:

Details der Stellenanzeige

Befristete Anstellung
Berufserfahrung nicht vorausgesetzt
Deutschland (Bayern)
82152 Planegg - Martinsried
Biologie & Life Sciences, Humanmedizin

Über Enard lab, LMU Munich

We are based in the faculty of biology and work on functional genomic approaches to understand human evolution and disease.

Mehr über die Enard lab, LMU Munich

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