SFB 1243 Cancer Evolution
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Now Hiring: Postdoc positions available

Postdoctoral research fellow in Bioinformatics (posted February 9, 2017)

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Job description

The Genomics groups of Laboratory for Functional Genome Analysis (Lafuga, see http://www.blum.genzentrum.lmu.de/) at the Ludwig Maximilians Universität is looking for a highly motivated postdoctoral researcher with strong computational skills who is interested particularly in analysis of next generation sequencing (NGS) data in cancer evolution research.

Lafuga Genomics has established a platform for biomedical research to provide knowledge in sequencing and analysis of genomes and transcriptomes to a large number of collaboration partners at the LMU, at the TU Munich, the Helmholtz centre or at the Max Planck Institute. Lafuga Genomics is participating in the Collaborative Research Center (CRC) Cancer Evolution (SFB 1243, see http://www.sfb1243.biologie.uni-muenchen.de/) in a central project and provides next generation sequencing, data management and analyses. This CRC offers a highly multidisciplinary field and close collaboration of clinicians, experimentalists, statisticians, biologists, and physicists. Within this CRC our lab is integrating cutting edge sequencing technologies (e.g. Illumina, Oxford Nanopore). Besides sequencing Lafuga is running the central data management system of the CRC. It houses all sequencing and meta data and provides state-of-the-art tools for computational data analyses.

The main tasks of the postdoctoral researcher will be to handle the central data management system, to conduct analyses for various CRC related sequencing projects and to develop methods for to the analyses of NGS data (e.g. sequencing of single or bulk cells, transcriptomes and exomes). The position is offered for the funding period of the CRC 1243 (initially 2.5 years). The earliest start date is March 1, 2017.

Desired skills and experience

- PhD in bioinformatics, computational biology, or related fields
- Good scripting and programming skills (R, shell scripts, C, python)
- Knowledge in Unix/Linux administration
- Knowledge in database systems
- Experience in working with next generation sequencing data
- Language skills: Fluent in English and German
- Networking with all partners

About the employer

The LMU Munich is steadily ranked among the top ten universities within Germany and top 50 worldwide. Besides the biomedical campus of the LMU, there are many well-known life science institutes and companies distributed within and around the city of Munich. Munich also provides a variety of cultural and recreational activities. The Alps are less than one-hour drive away. The salary is according to TV-L/E13. The LMU is an equal opportunity employer: handicapped candidates with equal qualifications will be given preference.

To apply, please send a single PDF including cover letter, CV, and two references to blum@genzentrum.lmu.de.

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Postdoc position with Project A01 (posted August 1, 2016)

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The Challenge
Although many mechanisms and pathways of tumor formation are known, providing efficient targeted therapies to treat cancer, the frequent emergence of resistant tumor cells and cancer relapse present an immense clinical challenge. Recent technological developments, such as high-throughput sequencing, single cell genomics and genome engineering, now open unprecedented possibilities to study cancer evolution and its molecular mechanisms. Hematologic neoplasms such as leukemias and lymphomas are well suited to study cancer evolution because intact cells can be sampled and studied in detail during disease progression.

Our Goals
In an evolutionary framework we will study different aspects of cancer evolution, in particular the poor prognosis of acute myeloid leukemia and indolent lymphomas, with an interdisciplinary approach. We will study the molecular mechanisms, measure the evolution of genetic, epigenetic and transcriptional heterogeneity in patients, mice and cellular systems and will use computational models to quantify relevant parameters. The close collaboration of clinicians, molecular biologists, population geneticists, computational and evolutionary biologists should result in a basic understanding of the evolutionary dynamics of tumors. With this interdisciplinary evolutionary-guided approach, our research consortium will contribute to the development of better diagnostics, predictions and ultimately treatment options for cancer patients.

We offer
The Munich-based SFB offers excellent working facilities in an international academic atmosphere in the top-ranked European universtiy LMU Munich at the Biocenter on the Life Science Campus Großhadern/Martinsried. The postdoctoral fellow will receive a unique opportunity for interdisciplinary collaboration in the fields of clinical sciences, computational biology and molecular biology.

New Team Member: Postdoctoral position
As an addition to our exceptional interdisciplinary research consortium, we are looking for a highly motivated next-generation researcher who is an independent thinker, diligent worker and will be committed to advancing the project goals. This postdoctoral position is embedded in SFB 1243 project A01 in the lab of Prof. Heinrich Leonhardt, contributing to the topic of "DNA modifications in the evloution of hematopoietic neoplasms". A qualifying degree in Life Sciences is required. Experience in molecular and cellular lab techniques as well as in computational data analysis are recommended. The postition is available until December 31, 2019.

Applications
for this postdoctoral position should be submitted to irtg1243@bio.lmu.de

The LMU Munich is an equal opportunity employer and encourages applications from female candidates. Disabled candidates with essentially equal qualifications will be given preference.

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