Postdoctoral position in RNA Genomics & Computational Biology

We have currently one postdoctoral positions open for 2017. Please find detailed information and link to the application  system (MyNetwork) following the link below. Application deadline is December 2nd.

Postdoctoral researcher in Genomics / Computational Biology

The available postdoctoral position concerns developing and applying novel genomic and computational approaches to study non-genetic heterogeneity in clonal population of cells. The candidate will focus on assigning molecular and cellular phenotypes to subtle variations of the transcriptome, with a special focus on RNA biology and post-transcriptional regulation. The candidate will perform original research in genomics and computational biology, and acquire the required experimental and computational skills necessary for the completion of the project. The candidate will be responsible for implementing analytical pipelines and integrate different kinds of genomic data to answer biologically relevant questions. The successful candidate will take a strong lead in the experimental design, and collaborate with other team members. The candidate is expected to communicate the scientific results by writing up scientific papers and attending scientific meetings. The ideal candidate is also expected to participate in the general duties of the team and to effectively communicate with scientists of very diverse backgrounds in a highly interdisciplinary and international environment.

Applicants to this position should have a PhD in genomics, computational biology or bioinformatics. A person is eligible for a position as postdoctoral research fellow if he or she has obtained a PhD no more than seven years before the last date of employment as postdoc.

The successful applicant should have experience interpreting biological data and experimentally testing their hypothesis, NGS analysis and proficiency in a scripting language (e.g. Python, R, Perl) and in UNIX/Linux. A strong interest in interdisciplinary technology development, and novel and creative thinking abilities are essential. Preferred experience also includes familiarity with eukaryotic transcription, RNA biology, ChIP-Seq, and molecular biology techniques. This is an excellent opportunity for an individual with experience in computational biology and genomics to expand his/her ability to design and interpret novel experimental approaches. Applicants wishing to integrate computational and experimental biology approaches are also encouraged to apply.