About the lab:
Computational genomics - Francesco Ferrari lab
IFOM, Milan, Italy (http://www.ifom.eu)
We are a computational biology group specialized in the development and adoption of novel computational solutions for functional genomics high-throughput data. We study epigenetics and transcription regulation using genome-wide data in different experimental models.
Examples of current projects include:
1) Short range chromatin loops. We are working on identifying and characterizing short-range chromatin loops involved in regulating transcription, by using high-resolution genome-wide chromatin architecture data. We will be working both on model organisms and cancer samples.
2) Dynamic chromatin changes. We are working on methods to identify new chromatin regulatory elements by focusing on dynamic changes in chromatin marks occurring during cell identity transitions, including reprogramming and cancer progression models.
3) Epigenetics and transcription regulatory modules. We are working on the integration of large genome-wide datasets to identify modules of genes and chromatin regulatory elements (e.g. enhancers and promoters) to be used as reliable markers of cell identity. In addition to large public datasets, we'll be working both on in vitro differentiation and direct conversion experimental models.
About the position:
We are looking for a postdoctoral researcher in computational biology, to join our newly established lab at IFOM. The successful candidate will work primarily on the analysis of functional genomics data: namely genome-wide data obtained from next generation sequencing technologies, including gene expression (e.g. RNA-seq), chromatin marks (e.g. ChIP-seq) and chromatin folding (e.g. Hi-seq) data. The development of new methods and tools for data analysis is expected to be part of the postdoctoral research activity as well.
English is the working language in the institute.
We can offer very competitive salary conditions depending on the experience level of the candidates.
Required skills:
- PhD or equivalent degree in Bioinformatics, Statistics, Biophysics, Computer Science, Molecular Biology or other related fields.
- Proficiency in at least one programming language (PERL, Python or C/C++)
- Proficiency in scripting environments for statistics and data analysis (R/Bioconductor or Matlab)
- Track record of publications in peer-reviewed journals
- Excellent communication skills (English is the working language at the institute)
Additional desired skills:
- Experience in functional genomics data analysis and especially in Next Generation Sequencing data
- Expertise in statistical methods and algorithm development in the context of biological systems
- Research experience in an interdisciplinary environment
- Previous work experience in an international/multi-cultural environment
- Strong publication record
Contact details:
To apply send your cover letter, CV and contact information for at least two references to francesco.ferrari@ifom.eu with ‘[POSTDOC PSITION]’ and your name in the subject line.
