The Ghavi-Helm lab for Developmental (Epi)Genomics at the Institut de Génomique Fonctionnelle de Lyon (IGFL) in France focuses on the 3D regulatory genomics of early Drosophila embryogenesis.
Recognizing bioinformatics as a critical component of our work, we wish to recruit a talented and polyvalent Bioinformatician eager to collaborate tightly with experimental biologists. This is an opportunity to contribute to the growth of a research group from the start, working on challenging computational problems relevant to the lab's research questions and data, generated from techniques including 4C/Hi-C/Capture-C, RNA-seq, ChIP-seq, ATAC-seq, CRISPR-Cas9 genome editing, and single-cell approaches. The successful candidate will become an essential cornerstone of the team work, involved in all lines of enquiry, assisting and training other lab members with data analysis, and developing his/her own projects.
The IGFL fosters an outstanding international environment at the interfaces of evolution, development, and integrative physiology using functional genomics, bioinformatics, genetics, and comparative approaches. The institute is housed in a new building at the Ecole Nationale Supérieure (ENS) of Lyon within the vibrant research community of the Lyon Gerland campus.
Lyon, the "gastronomic capital" of France, is a modern and dynamic city, with rich cultural and sport offerings. It's an international transportation hub (< 2h from Paris or Marseille with high-speed train, 1h drive from the Alps).
Requirements for the role:
- Master or Ph.D. degree in bioinformatics, computer science, mathematics, physics, biology or related disciplines, with a strong background in statistics
- At least 2 years of experience in Next-Generation Sequencing data analysis
- Basic knowledge of molecular biology principles
- Experience with scientific programming and data handling in a Unix environment
- Extensive experience with R/Bioconductor, including package development
- Advanced programming skills in Java, C/C++, Python, Perl or other programming languages
- Experience in machine learning approaches applicable to NGS data is a plus
- Proven ability to work as part of a team and to interact with biologists
The working language of the lab is English. The contract will be initially for one year, renewable. Start date: July 2017, negotiable. Salary: commensurate with experience according to CNRS rules. For more information: www.ghavihelmlab.com
To get in touch, please send your CV and a brief description of your research interests before 31/01/2017 to Yad Ghavi-Helm: yad.ghavi-helm AT embl.de