Job: Postdoc in Computational Biology
gravatar for Bernd Fischer
2.0 years ago by
Bernd Fischer540
Germany / Heidelberg / DKFZ
Bernd Fischer540 wrote:

The German Cancer Research Center (DKFZ) offers a Postdoc position in
the computational genome biology group headed by Dr. Bernd
Fischer. The research group works on quantitative analysis of genetic
and physical interaction networks. Statistics and computational
network analysis will be used to predict and understand interactions
between genes, proteins and drugs in various ways with the aim to
guide targeted drug therapies. The group will further develop methods
that integrate available population level genetic data with
experimental data. 

Understanding gene-gene interactions and gene-drug interactions plays
a central role in the development of future personalized drug
therapies. We have driven forward the analysis of multivariate genetic
interaction maps with multivariate phenotype data. The underlying data
consists of automated image-based high-throughput screens with
combinatorial gene perturbations. We have developed a novel method to
derive temporal, causal and regulatory mechanisms between the genes
(Fischer et al., eLife, 2015). Furthermore, the group develops new
methods to analyze protein-RNA binding sites (Castello, Fischer, CELL,

Possible projects include but are not limited to: 1) Bayesian modeling
of multivariate genetic interaction data and hierarchical models
including cooperativety of genes. 2) Modeling directionality in
large-scale cancer sequencing and RNAseq data. 3) Combined modeling of
genetic and physical interaction data. 4) Prediction of effects of
sequence alterations on genetic and physical interactions. The
successful candidate will in general be involved in the computational
and statistical analysis of NGS, mass spectrometry or imaging data
from collaborative projects.

The ideal candidate will have a Ph.D. in a quantitative or
computational science (statistics, computer science, bioinformatics,
physics) with a strong background in computational statistics, machine
learning or scientific computing. Programming skills in R are of
advantage. The candidate should have interest in molecular or medical
biology and is expected to work in close collaboration with
experimental scientists at DKFZ and other institutes in Heidelberg.

Applicants are encouraged to send an application letter with a
half-page description of your future plans, CV including publications,
certificates and 2-3 references.

The position is initially limited for 2 years with possibility of
extension. Informal inquiries can be send to

Learn more at:

Please apply via the DKFZ job portal at .

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